MSc in Accounting and Finance Analytics (Mixed …MSc in Accounting and Finance Analytics 2019/20 3...
Transcript of MSc in Accounting and Finance Analytics (Mixed …MSc in Accounting and Finance Analytics 2019/20 3...
MSc in Accounting and Finance Analytics (Mixed-mode)
Programme Document
Programme Code: 21052-FAM/PAM
MSc in Accounting and Finance Analytics 2019/20
TABLE OF CONTENTS
Page No.
CONTACT LIST i
FOREWORD ii
ACADEMIC CALENDAR FOR 2019-20 iii
Part I: General Information 1. Programme Overview 1 2. Programme Aims and Objectives3. Programme Learning Outcomes and Learning Objectives
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4. Entrance Requirements 2 5. Programme Structure
5.1 Programme Information 5.2 Credit Requirements 5.3 Mode and Duration of Study 5.4 Subject Offerings 5.5 Recommended Progress Pattern
2 2 3 4 4
6. Curriculum Map 4 7. Programme Management and Operation 6 8. Communication with Students 6 9. Subject Registration
9.1 Add/Drop of Subjects9.2 Withdrawal of Subjects
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10. Subject Exemption and Credit Transfer 7 11. Retaking of Subjects 7 12. Zero Subject Enrollment 8 13. Deferment of Study 8 14. Withdrawal of Study
14.1 Official Withdrawal14.2 Discontinuation of Study14.3 De-registration
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15. Assessment Methods 10 16. Passing a Subject 10 17. Grading 11 18. Progression and De-registration 12 19. Academic Probation 12 20. Eligibility for Award 12 21. Award Classifications 13 22. Late Assessment 13 23. Procedures for Appeal
23.1 Appeals against De-registration Decisions23.2 Appeals against Decisions other than De-registration
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24. Dismissal of Class 15 25. Plagiarism and Bibliographic Referencing 15 26. Prevention of Bribery Ordinance 15
Part II: Subject Syllabuses 16
Version: August 2019
MSc in Accounting and Finance Analytics 2019/20
CONTACT LIST
For information on programme administration, please contact:
Tel: 2766 4015
Email: [email protected]
For information on academic matters, please contact:
Dr Feng TIAN, Programme Director
Tel: 2766 7109
Email: [email protected]
Dr Justin LAW, Programme Manager
Tel: 2766 4443
Email: [email protected]
MSc in Accounting and Finance Analytics Programme Web Page http://www.af.polyu.edu.hk/study/master-programmes/afa
PolyU Student Handbook Webpage Address http://www.polyu.edu.hk/as
School of Accounting and Finance (AF) M715, Li Ka Shing Tower The Hong Kong Polytechnic University Hung Hom, Kowloon, Hong Kong
Tel: 3400 3229 / 2766 5645
Fax: 2774 9364
Email: [email protected]
Homepage: http://www.af.polyu.edu.hk
Office hours:
Weekdays: 8:45am – 1:00pm; 2:00pm – 5:35pm
Saturday, Sundays & Public Holidays:
Closed
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MSc in Accounting and Finance Analytics 2019/20
FOREWORD
It is our pleasure to welcome you to the Master of Science in Accounting and Finance Analytics programme offered by the School of Accounting and Finance at The Hong Kong Polytechnic University.
This programme aims to provide you with a solid foundation in the key areas of accounting and finance, together with the knowledge and skills in applying technology and data analytics to these areas. Through studying this programme, you will be able to keep up with the latest data analytics applications and skills.
This Programme Document contains important information that is of direct relevance to your studies. You are strongly advised to read it carefully and use it as a guide for working out your study plan.
We wish you an enjoyable and rewarding experience with the University.
With warmest regards
Professor C.S. Agnes Cheng Head and Chair Professor of Accounting School of Accounting and Finance
August 2019
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Academic calendar 2019/20
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PART I: GENERAL INFORMATION
1 PROGRAMME OVERVIEW
The advancement of information technology has made a great impact on the way of doing business and the practices in the accounting and finance profession. At the same time, the applications of data analytics have become increasingly important and significantly affected almost every business sector and industry. With the widespread application of emerging new digital technology to the accounting and finance profession, there is a need to equip students with the training of technological skills and knowledge to cope with the demands of the business community.
The Master of Science in Accounting and Finance Analytics is a conversion programme designed for graduates to develop a broad understanding of the accounting and finance disciplines and the applications of technology to these disciplines.
2 PROGRAMME AIMS AND OBJECTIVES
The programme aims to provide students with a combination of core knowledge in accounting and finance and skills in applying data analytics and technology to the related practices. It facilitates practitioners in accounting and finance to keep up with the latest data analytics applications and skills.
The programme emphasizes:
• skills and knowledge to perform data analytics in accounting and finance;
• core knowledge in accounting and finance;
• applications of data analytics in accounting and finance;
• systematic training and development of data analytics skills and capability insolving business problems in accounting and finance;
• exploit opportunities offered by big data in solving accounting, finance andbusiness problems.
3 PROGRAMME LEARNING OUTCOMES AND LEARNING OBJECTIVES
Programme Learning Outcomes provide a broad description of the knowledge, skills, intellectual abilities and behaviours to be developed in all students. Underpinning each Learning Outcome, there is one or more Learning Objectives that set out specifically what students are expected to achieve or perform upon completion of the programme:
(i) Evaluate accounting and finance issuesLeaning Objective 1:To use the conceptual frameworks needed to evaluate contemporary issues aboutaccounting and finance disciplines.
(ii) Understand technological methodsLearning Objective 2:To understand the fundamental quantitative and technological methods inaccounting and finance.
(iii) Apply technology and data analytics skillsLearning Objective 3:
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To apply technology and data analytics skills to solve accounting and finance problems faced in real-life situations in an ethical manner.
4 ENTRANCE REQUIREMENTS
The minimum entrance requirement for this award is:
• A Bachelor's degree; Preference will be given to applicants with a business degree, who are equipped with some fundamental training in computing or graduates with a background in computing, science or engineering. If you are not a native speaker of English and your Bachelor's Degree or equivalent qualification was awarded by an institution at which the medium of instruction is not English, you are expected to fulfil the University's minimum English language requirement for admission.
5 PROGRAMME STRUCTURE 5.1 Programme Information
Programme Code and Title: 21052 Master of Science in Accounting and Finance Analytics Award: Master of Science in Accounting and Finance Analytics Medium of Instruction: English
5.2 Credit Requirements
Students are required to obtain the credit requirements specified below for the relevant award:
Award No. of Credits No. of Required Subjects
MSc
30
9 Compulsory Subjects + 1 Elective Subject
PgD
21
7 Compulsory Subjects
The programme is leading to the Master of Science in Accounting and Finance Analytics award. Students admitted to the MSc programme may apply for early exit with a Postgraduate Diploma (PgD), subject to meeting the specified credit requirements. Students who subsequently decide to graduate with a PgD must apply to the School of Accounting and Finance by submitting an application for graduation Form AS84c/AR84c.
5.3 Mode and Duration of Study
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The programme is operated in mixed-mode. Students enrolling on the programme are classified as mixed-mode students. They may engage in a full-time or part-time study load by attending classes mainly in the evening. If the mixed-mode students take subjects of 9 credits or more in a semester, they will be given full-time status in that semester. Otherwise, they will be given part-time status. The academic year is organized into Semester 1 (13 weeks), Semester 2 (13 weeks) and Summer Term (7 weeks), where appropriate. Classes will be scheduled on weekday evenings, daytime or weekends. The number of class contact hours will depend on the approach to learning and teaching adopted in the subject. While students’ effort need not necessarily be defined in terms of class contact, most subjects require 39 hours of class contact. In a regular semester, most subjects have 3 hours contact time per week. Actual number of class meetings may vary in light of certain conditions in the offering semester, such as the arrangement of public holidays; or other pedagogical needs of subject lecturers. The duration of the programme is as follows:
Full-time study load
MSc PgD
Normal Duration 1 year 1 year
Maximum Duration 4 years
Part-time study load
MSc PgD
Normal Duration 2 years 2 years
Maximum Duration 4 years
5.4 Subject Offerings
Subjects
Compulsory Subjects for MSc and PgD (21 credits)
AF5115 Accounting for Business Analysis AF5203 Contemporary Issues in Accounting Information Systems AF5312 Principles of Corporate Finance AF5344 Investments AF5364 Quantitative Methods for Accounting and Finance AF5122 Business Analytics in Accounting and Finance AF5365 Applications of Computing and Technology in Accounting and
Finance I
Compulsory Subjects for MSc (6 credits)
AF5123 Financial Analysis and Valuation with Programming AF5366 Applications of Computing and Technology in Accounting and
Finance II
Elective Subject* for MSc (any one) (3 credits)
AF5112 Management Accounting AF5201 Auditing Framework
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AF5322 Corporate Risk Management AF5323 Fixed Income Securities AF5351 Derivative Securities AF5353 Security Analysis and Portfolio Management AF5937 Accounting and Finance Analytics Project COMP5112 Data Structures and Database Systems COMP5511 Artificial Intelligence Concepts MM5412 Business Intelligence and Decision
* Subject to university’s minimum enrolment requirement, not all subjects will be offeredeach year. Registration is subject to the availability of quota.
Students should observe carefully on the pre-requisite, co-requisite and/or exclusion requirements before enrolling the subject(s) in the programme. Failing to comply with the requirements may result in a delay in subject registration and/or programme completion.
5.5 Recommended Progress Pattern
The programme offers a structured progression patterns1, and students are highly encouraged to follow the patterns to benefit from a cohort-based study. However, being credit-based, the programme allows you the flexibility to proceed at your own pace according to your time commitment and learning needs, while not exceeding the prescribed maximum study period.
Full-time study load
Year One
Semester One 5 Compulsory Subjects
Semester Two
4 Compulsory Subjects and
1 Elective Subject
Part-time study load
Year One Year Two
Semester One 3 Compulsory Subjects 2 Compulsory Subjects
Semester Two
3 Compulsory Subjects 1 Compulsory Subject and
1 Elective Subject
6 CURRICULUM MAP
The institutional learning outcomes are as follows: a. Professional competence of specialists/leaders of a discipline/profession -
Graduates of PolyU TPg programmes will possess in depth-knowledge and skills in theirarea of study and be able to apply their knowledge and contribute to professionalleadership.
b. Strategic thinking - Graduates of PolyU TPg programmes will be able to thinkholistically and analytically in dealing with complex problems and situations pertinent to
1 Patterned subjects on offer are subject to change without prior notice. Students can enquire the class timetable of the semester concerned via http://www.polyu.edu.hk/student upon release of the relevant class timetable.
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their professional practice. They will be versatile problem solvers with good mastery of critical and creative thinking skills, who can generate practical and innovative solutions.
c. Lifelong learning capability - Graduates of PolyU TPg programmes will have an enhanced capability for continual professional development through inquiry and reflection on professional practice.
The above institutional learning outcomes are appropriately addressed by the totality of the programme learning outcomes of the MSc in Accounting and Finance Analytics programme, as set out below:
Programme Learning Outcomes and Learning Objectives
Addressed by Subjects
1. Evaluate accounting and finance issues Learning Objective 1: To use the conceptual frameworks needed to evaluate contemporary issues about accounting and finance disciplines.
Compulsory subjects AF5115 Accounting for Business Analysis AF5203 Contemporary Issues in Accounting Information Systems AF5312 Principles of Corporate Finance AF5344 Investments Reinforced by elective subjects AF5112 Management Accounting AF5201 Auditing Framework AF5322 Corporate Risk Management AF5323 Fixed Income Securities AF5351 Derivative Securities AF5353 Security Analysis and Portfolio Management
2. Understand technological methods
Learning Objective 2: To understand the fundamental quantitative and technological methods in accounting and finance.
Compulsory subjects AF5364 Quantitative Methods in Accounting and Finance AF5122 Business Analytics in Accounting and Finance
3. Apply technology and data analytics skills
Learning Objective 3: To apply technology and data analytics skills to solve accounting and finance problems faced in real-life situations in an ethical manner.
Compulsory subjects AF5365 Applications of Computing and Technology in Accounting and Finance I AF5123 Financial Analysis and Valuation with Programming AF5366 Applications of Computing and Technology in Accounting and Finance II Reinforced by elective subjects AF5937 Accounting and Finance Analytics Project COMP5112 Data Structures and Database Systems COMP5511 Artificial Intelligence Concepts MM5412 Business Intelligence and Decision
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7 PROGRAMME MANAGEMENT AND OPERATION A Programme Committee is formed to exercise the overall academic and operational responsibility for the Programme and its development within policies, procedures and regulations defined by the University. Its composition comprises academics and student representatives. The Programme Director and/or Deputy Programme Director and/or Programme Manager are responsible for the day-to-day management and operation of the programme, student admissions, teaching and learning matters, quality assurance (QA) and programme development. Their prime role is to ensure the programme is delivered according to the established QA mechanism.
8 COMMUNICATIONS WITH STUDENTS While we work to communicate clearly and in a timely manner with students according to University regulations and procedures, it is the responsibility of students to help maintain the effectiveness of the communication process. The main communication channel for disseminating information and notices to students within the University will be through PolyU e-mail (i.e. PolyU Connect account) and the University Portal. Therefore, students are advised to check for messages in their PolyU Connect accounts regularly to obtain the latest information regarding their studies and the status of any related applications (e.g. late assessment, appeal of subject results, add/drop of subjects, deferment, etc) lodged. Failure in doing so will not constitute any grounds for appeals/complaints against consequences / decisions of the relevant matters and applications.
9 SUBJECT REGISTRATION 9.1 Add/Drop of Subjects
In addition to programme registration, students need to register for subjects at specified period prior to the commencement of the semester. If you wish to make changes to your subject registration, you may do so through the add/drop at the eStudent during the 2-week add/drop period (one week for summer term). You are advised not to make any changes to the subjects pre-assigned to you by the Department without consulting your Department/Academic Advisor. In case you wish to drop all subjects in a semester, you must first seek approval from your Department for zero subject enrolment. Otherwise, you will be considered as having decided to withdraw from study on the programme concerned. Dropping of subjects after the add/drop period is not allowed. If you have a genuine need to do so, it will be handled as withdrawal of subject.
If you have taken more credits, you will receive a second debit note on the remaining tuition fee about 5 weeks after the commencement of the semester. If you have taken less credits, a refund will be made.
9.2 Withdrawal of Subjects
If you have a genuine need to withdraw from a subject after the add/drop period, you should submit a written request for withdrawal of subject to your programme offering department. Such requests will be considered by both the programme leader and the subject lecturer concerned if there are strong justifications and when the tuition fee of
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the subject concerned has been settled. Requests for subject withdrawal will not be entertained after the commencement of the examination period for your programme. For approved cases, a handling fee will be charged. The tuition fees paid for the withdrawn subject will be forfeited. The withdrawn subjects will still be reported in your Assessment Result Notification and Transcript of Studies although they will not be counted in GPA calculation. If the handling fee concerned is outstanding by the payment deadline, the approval given will be declared void and you are required to attend classes of this subject and complete its assessment(s) accordingly. A reinstatement fee will be charged if you wish to reinstate the approval for the withdrawn subject.
10 SUBJECT EXEMPTION AND CREDIT TRANSFER
Irrespective of the extent of previous study or credits recognised, all students studying in PolyU should complete at least one third of the normal credit requirement in order to be eligible for the PolyU award. If you consider your previous study relevant to your current programme, you may apply for subject exemption (Form AS41e/AR41e) or credit transfer (Form AS41c/AR41c) via eStudent. Subject Exemption You may be granted exemption from taking certain subjects if you have successfully completed similar subjects in another programme. The credits associated with the exempted subject will not be counted for satisfying the credit requirements of your programme. You should consult your Department and take another subject in its place. For students whose tuition fees are charged by credits, an exemption fee will be charged. Credit Transfer You should submit an application for credit transfer upon your initial enrolment on the programme or before the end of the add/drop period of the first semester of your first year of study. Late applications may not be considered. For students whose tuition fees are charged by credits, a credit transfer fee will be charged. The validity period of subject credits earned is eight years from the year of attainment, i.e. the year in which the subject is completed, unless otherwise specified by the Department responsible for the content of the subject (e.g. the credit was earned in 2010/11, then the validity period should count from 2011 for eight years). Credits earned from previous studies should remain valid at the time when the student applies for transfer of credits. There is a limit on the maximum number of credits that could be transferred. If the credits attained from previous study are solely from PolyU, the total credits transferred should not exceed 67% of the required credits for the award. If the credits gained are from other institutions, the total credits transferred should not exceed 50%. In cases where both types of credits are transferred, not more than 50% of the required number of credits for the academic award may be transferred. Grades may or may not be given for the transferred credits. For students admitted with advanced standing (i.e. by virtue of route (iii) of the Entrance Requirements specified in Section 3 of this document), no more credit transfer will be granted. However, he/she may apply for exemption to study a compulsory subject by virtue of his/her previous study. In such case, student will be required to take another elective subject as a replacement for the subject exempted. Core subjects are NOT allowed to be taken as replacement subjects.
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Credit transfer for elective subjects would not be considered. Students are encouraged to broaden their knowledge by taking subjects which they have not exposed to in their prior studies.
11 RETAKING OF SUBJECTS After the announcement of subject results in a semester, you should check whether you have failed any subject via the eStudent and arrange for retaking of the subject during subject registration. In addition to retaking a subject due to failure, you may retake any subject for the purpose of improving your grades. These students will be accorded a lower priority for taking the concerned subjects and can do so if places are available. Students concerned can register for such subjects during the last 2 days of the add/drop period. When you retake a subject, only the grade obtained in the final attempt of retaking will be included in the calculation of the Grade Point Average (GPA) and the Grade Point Average for award classification. Although the original grade will not be included in the calculation of GPAs, it will be shown on the transcript of studies. If students have passed a subject but failed after retake, credits accumulated for passing the subject in a previous attempt will remain valid for satisfying the credit requirement for award. You should refer to this programme document to ascertain the requirements, in particular for subjects offered in consecutive semesters, for retaking failed subjects or seek advice from the Department concerned. Students paying credit fee will be charged for the subjects retaken.
12 ZERO SUBJECT ENROLLMENT
If you do not wish to take any subject in a semester, you must seek approval from your Department to retain your study place by submitting your application via eStudent before the start of the semester and in any case not later than the end of the add/drop period. Otherwise, your registration and student status with the University will be withdrawn. The semesters during which you are allowed to take zero subject will be counted towards the maximum period of registration for the programme concerned. You will receive notification from the Department normally within 2 weeks if your application is successful. Students who have been approved for zero subject enrolment are allowed to continue using campus facilities including library facilities. A fee of HK$2,105 per semester for retention of study place will be charged. For Non-local students, if you need to apply for deferment of study/zero subject enrolment, it is necessary for you to seek approval from the Director of Immigration. Procedures • Seek approval from your programme offering department by submitting the relevant AR forms. • Once the department approves your application, the Academic Registry will report your application to the Director of Immigration and inform you by e-mail after getting the acknowledgement letter from the Immigration Department. To resume study upon expiry of the approved period of deferred study, you must hold a valid student visa. If your visa has expired, you need to apply to the Immigration Department for the student visa via the Academic Registry. Procedures
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• Submit all the necessary documents for student visa application to the Academic Registry by express post at least 6 weeks before you resume your study. For details, please visit the AR homepage (http://www.polyu.edu.hk/as > For PolyU Students > Visa Matters for Non-local Students).
13 DEFERMENT OF STUDY You may apply for deferment of study if you have a genuine need to do so, such as illness or being posted to work outside Hong Kong. The deferment period will not be counted as part of the maximum period of registration. You are required to submit an application for deferment of study via Form AS7/AR7 to the programme offering department. You will be informed of the result of your application in writing or via e-mail by the Department normally within three weeks from the date of application. It is necessary for you to settle all the outstanding tuition fee and/or other fees in order to have your application for deferment processed if the application is submitted after the start of a semester. All fees paid are non-refundable. Students approved for deferment of study will normally not be eligible to access the campus facilities/services. Students can check for further details from the relevant service providing units. Alternatively, you may apply for zero subject enrolment to retain your study place. Students who have been approved for deferment of study can retain their student identity card for use upon their resumption of study. You will be advised to settle the tuition fee and complete the subject registration procedures upon expiry of the deferment period. If you do not receive such notification one week before the commencement of the Semester, you should enquire at the Academic Registry. The approval of deferment of study is not automatic; application should be submitted to the Department before the commencement of the examination period of the semester concerned. Students must observe the procedures and timelines as stipulated by the University. For Non-local students, if you need to apply for deferment of study/zero subject enrolment, it is necessary for you to seek approval from the Director of Immigration. Procedures • Seek approval from your programme offering department by submitting the relevant AR forms. • Once the department approves your application, the Academic Registry will report your application to the Director of Immigration and inform you by e-mail after getting the acknowledgement letter from the Immigration Department. To resume study upon expiry of the approved period of deferred study, you must hold a valid student visa. If your visa has expired, you need to apply to the Immigration Department for the student visa via the Academic Registry. Procedures • Submit all the necessary documents for student visa application to the Academic Registry by express post at least 6 weeks before you resume your study. For details, please visit the AR homepage (http://www.polyu.edu.hk/as > For PolyU Students > Visa Matters for Non-local Students).
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14 WITHDRAWAL OF STUDY
14.1 Official Withdrawal
If you wish to discontinue your study at the University before completing your programme, it is necessary for you to complete the withdrawal procedure via eStudent. Fees paid for the semester which you are studying will not be refunded.
Your application will not be processed if you have not returned your student identity card or have not cleared outstanding matters with the various departments/offices concerned, such as settling outstanding fees/fines and Library loans and clearing your locker provided by the Centre STARS.
The relevant Faculty Office/ School will inform you in writing or via e-mail of the result of your application, normally within three weeks after you have cleared all the outstanding items as mentioned above. Upon confirmation of your official withdrawal, you will be eligible for the refund of the caution money paid if you have no outstanding debts to the University. All fees are non-refundable. However, current students who apply for withdrawal of study before the commencement of the relevant semester will be eligible for refund of the tuition fee paid for that semester. If you discontinue your study at the University without completing proper withdrawal procedures, you will be regarded as having unofficially withdrawn and the caution money paid at first registration will be confiscated.
14.2 Discontinuation of Study
If you discontinue your study without following the proper procedures for official withdrawal, you will be regarded as having given up your study at the University. In such cases, you will not be eligible for the refund of caution money and shall not be considered for re-admission to the same programme in the following academic year.
14.3 De-registration
If you are de-registered on grounds of academic failure, you must return your student identity card to the Academic Registry within 3 weeks upon the official release of assessment result. Failure to return the student identity card may render you not eligible for any certification of your study nor for admission in subsequent years. The caution money paid will also be confiscated. Any subsequent request for the refund of caution money by returning the student identity card after the original deadline will not be entertained. Students who have been de-registered shall not be considered for re-admission to the same programme in the following academic year.
For non-local students, once it is confirmed that you have discontinued, withdrawn your study at PolyU or have been de-registered from your programme, the University will inform the Immigration Department accordingly. According to Immigration Regulations, you must leave Hong Kong before the expiry of your limit of stay or within 4 weeks from the date of the termination of study, whichever is earlier; otherwise, you will be committing a criminal offence of breaching your conditions of stay.
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15 ASSESSMENT METHODS
Students’ performance in a subject can be assessed by continuous assessments and/or examinations, at the discretion of the individual subject offering department. Where both continuous assessment and examinations are used, the weighting of each in the overall subject grade shall be clearly stated in this document. Learning outcome should be assessed by continuous assessment and / or examination appropriately, in line with the outcome-based approach. Continuous assessment may include tests, assignments, projects, laboratory work, field exercises, presentations and other forms of classroom participation. Continuous Assessment assignments which involve group work should nevertheless include some individual components therein. The contribution made by each student in continuous assessment involving a group effort shall be determined and assessed separately, and they can result in different grades being awarded to students in the same group.
16 PASSING A SUBJECT In order to pass in a subject offered by the School/Departments in the Faculty of Business (i.e. subjects with prefix of AF/LGT/MM/FB), all students have to obtain Grade D or above in both the continuous assessment and examination components of the subject. If a subject is assessed by only one component (either by continuous assessment or examination), then the passing grade for the subject is D.
17 GRADING Assessment grades shall be awarded on a criterion-reference basis. A student’s overall performance in a subject shall be graded as follows:
Grade Description Grade Point
A+ Exceptionally Outstanding 4.5
A Outstanding 4
B+ Very Good 3.5
B Good 3
C+ Wholly Satisfactory 2.5
C Satisfactory 2
D+ Barely Satisfactory 1.5
D Barely Adequate 1
F Inadequate 0
'F' is a subject failure grade, whilst all others ('D' to 'A+') are subject passing grades. No credit will be earned if a subject is failed.
At the end of each semester/term, a Grade Point Average (GPA) will be computed as follows, and based on the numeral grade point of all the subjects:
=
n
n
Value Credit Subject
Value Credit SubjectPoint Grade Subject
GPA
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where n = number of all subjects (inclusive of failed subjects) taken by the student up to and including the latest semester/term. For subjects which have been retaken, only the grade point obtained in the final attempt will be included in the GPA calculation.
In addition, the following subjects will be excluded from the GPA calculation: (i) Exempted subjects (ii) Ungraded subjects (iii) Incomplete subjects (iv) Subjects for which credit transfer has been approved without any grade assigned (v) Subjects from which a student has been allowed to withdraw Subject which has been given an “S” code, i.e. absent from examination, will be included in the GPA calculation and will be counted as “zero” grade point. GPA is thus the unweighted cumulative average calculated for a student, for all relevant subjects taken from the start of the programme to a particular point of time. GPA is an indicator of overall performance and is capped at 4.0. Any subject passed after the graduation requirement has been met or subjects taken on top of the prescribed credit requirements for award shall not be taken into account in the grade point calculation for award classification.
18 PROGRESSION AND DE-REGISTRATION A student will normally have “progressing” status unless he/she falls within the following categories, any one of which shall be regarded as grounds for de-registration from the Programme:
(i) the student has exceeded the maximum period of registration; or (ii) the student’s GPA is lower than 2.0 for two consecutive semesters and his/her
Semester GPA in the second semester is below 2.0; or (iii) the student’s GPA is lower than 2.0 for three consecutive semesters. Notwithstanding the above, the Board of Examiners will have the discretion to de-register students with extremely poor academic performance before the time specified in (ii) and (iii) above.
19 ACADEMIC PROBATION The academic probation system is implemented to give prior warning to students who need to make improvement in order to fulfill the GPA requirement of the University. If your GPA is below 2.0, you will be put on academic probation in the following semester. If you are able to obtain a GPA of 2.0 or above by the end of the probation semester, the status of “academic probation” will be lifted. The status of “academic probation” will be reflected on the web assessment results and the Official Assessment Result Notifications. However, this status will not be displayed in the transcript of studies. To improve the academic performance of students on academic probation, students on academic probation are required to seek academic advice on their study load and subjects to be taken. These students will normally be required to take a study load of not more than the normal one of 15 credits. Students should complete the Form ‘Study Load for Students on Academic Probation’ (Form AS150 / AR150) (AR Website > For Students on Taught Programmes > Application Forms) indicating the proposed study plan and meet with the Academic Advisor(s) to finalize the subjects and numbers of credits to be taken in the
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semester following academic probation within one week of assessment results announcement.
20 ELIGIBILITY FOR AWARD A student would be eligible for the award of Master of Science in Accounting and Finance Analytics or Postgraduate Diploma in Accounting and Finance Analytics on satisfying ALL the conditions listed below:
(i) Accumulation of the requisite number of credits for the award, as defined in this document.
(ii) Satisfying all the “compulsory” and “elective” requirements (“elective” requirement is for Master of Science in Accounting and Finance Analytics only) defined.
(iii) Having a GPA of 2.0 or above at the end of the programme. A student is required to graduate as soon as he/she satisfies all the above conditions for award. Upon confirmation of eligibility to graduate or leaving the University, registration for subjects (including the follow-on term of consecutive subjects) in the following semester/Summer Term will be nullified and removed. Students who meet all the necessary requirements of the University and the programme concerned will be eligible for graduation. Students with graduation status confirmed on or before 15 March will receive the academic award parchment in late March/early April with the award parchment dated 15 March of the year concerned while students with graduation status confirmed after 15 March and before 1 October will receive their parchments in late October/early November with the award parchment dated 30 September of the year concerned. Please visit the Please visit the AR Website > for Graduates > Award Parchment for more updated information on the parchment collection arrangement in early March or early October with reference to your graduation timeline.
21 AWARD CLASSIFICATIONS The following award classifications apply to your programme:
Award Classification GPA
Distinction 3.7+ – 4.0
Credit 3.2+ – 3.7–
Pass 2.0 – 3.2–
The above ranges for different classifications are subject to BoE’s individual discussion of marginal cases. Note: “+” sign denotes ‘equal to and more than’; “–” sign denotes ‘less than’.
22 LATE ASSESSMENT If you have been absent from an examination or are unable to complete all assessment components of a subject because of illness, injury or other unforeseeable reasons, you may apply for a late assessment. Application in writing should be made to the Head of Department offering the subject within five working days from the date of the examination together with any supporting documents such as a medical certificate. Approval of applications for late assessment and the means for such late assessments
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shall be given by the Head of Department offering the subject or the Subject Lecturer concerned, in consultation with the Programme Director. In case you are permitted to take a late assessment, that examination or other forms of assessment will be regarded as a first assessment and the actual grade attained will be awarded. You are required to settle a late assessment fee before taking/completing the late assessment. If you fail to settle the fee, the result of your late assessment would be invalidated.
23 PROCEDURES FOR APPEAL
23.1 Appeals against De-registration Decisions
Students appealing against the de-registration decision shall pay a fee of HK$125. Payment forms are obtainable from the Academic Registry Service Centre. The fee shall be refunded if the appeal is upheld.
Students should complete and submit Form AS149/AR149 “Appeal against the Decision of BoE on De-registration” to the General Office of the Department hosting the programme/award (or to the Faculty Office if the programme/award is hosted by the Faculty, or for students on Broad Discipline programme) within one Calendar Week upon the official announcement of the overall results, i.e. the date when the results are announced to students via the web. [For 2019-20, the announcement dates for overall results are 10 January 2020 (Semester 1), 29 May 2020 (Semester 2) and 5 August 2020 (Summer Term).] When submitting the form, the appellant has the responsibility to make known to the Academic Appeals Committee full details and evidence that would support his/her appeal.
The appeal by the students will be considered by the Academic Appeals Committee, which will deliberate the appeal cases making reference to the recommendations of the programme-hosting Department/Faculty and the Faculty Dean/School Board Chairman.
The decisions of the Academic Appeals Committee shall be final within the University.
23.2 Appeals against Decisions other than De-registration
Students appealing against the decision on their assessment results shall pay a fee of HK$125. Payment forms are obtainable from the Academic Registry Service Centre. If more than one examination paper is involved, an extra fee of HK$125 shall be charged for each additional paper. This fee shall be refunded if the appeal is upheld.
A student should make his/her appeal in writing to his/her Head of Department within 7 working days upon the public announcement of his/her overall results, i.e. the date when the results are announced to students via the web. [For 2019-20, the announcement dates for overall results are 10 January 2020 (Semester 1), 29 May 2020 (Semester 2) and 5 August 2020 (Summer Term).] The Head of Department shall deal with the appeal if the student is studying in a department-based programme/scheme. If the student is studying in postgraduate schemes, the Head of Department shall refer the appeal to the Scheme Committee Chairman.
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The appeal should be accompanied by a copy of the fee receipt, for inspection by the Department concerned. The student should give a complete account of the grounds for the appeal in the letter, and provide any supporting evidence.
Appeal may lead to a change in the subject grade, which may go upward as well as downward, upon completion of reviewing the appeal case. Departments should inform the student concerned of the appeal result within 7 working days after receipt of the letter of appeal.
If the appellant is dissatisfied with the decision, he/she may then appeal in writing to the Academic Registry within 7 working days from the date of the post-mark of the Department’s reply. He/She should provide the following information together with other relevant documents in support of the appeal:
− name in English and Chinese;
− student number;
− programme title, year and class of study;
− examination/subject results appealing against; and
− grounds for appeal
The Registrar shall then refer the case to the Academic Appeals Committee, who shall determine whether there are prima facie grounds for a reconsideration of the Subject Lecturer’s/SARP’s/BoE's decision.
The decisions of the Academic Appeals Committee shall be final within the University.
24 DISMISSAL OF CLASS If the subject lecturer does not show up after 30 minutes of the scheduled start time, the class is considered cancelled and appropriate follow up arrangements (e.g. rescheduled class, make-up class, etc) will be announced to students in due course.
25 PLAGIARISM AND BIBLIOGRAPHIC REFERENCING Plagiarism refers to the act of using the creative works of others (e.g. ideas, words, images or sound, etc) in one’s own work without proper acknowledge of the sources. Students are required to submit their original work and avoid any possible suggestion of plagiarism in the work they submit for grading or credit. The University views plagiarism, whether committed intentionally or because of ignorance or negligence, as a serious disciplinary offence. Excuses such as “not knowing that this is required” or “not knowing how to do it” are not accepted. It is the students’ responsibility to understand what plagiarism is, and take action steps to avoid plagiarism in their academic work. The golden rule is: “if in doubt, acknowledge”. Students should comply with the University’s policy on plagiarism in continuous assessment, bibliographic referencing and photocopying of copyright materials. Please read details on “Plagiarism” given in Appendix 3 of the Student Handbook.
26. PREVENTION OF BRIBERY ORDINANCE PolyU staff members may in no circumstances solicit or accept an advantage. For relevant details, please refer to the Prevention of Bribery Ordinance (Chapter 201) of the Laws of Hong Kong at http://www.legislation.gov.hk. For details of all the regulations, please refer to the Student Handbook of the relevant year. (accessible at http://www.polyu.edu.hk/as/webpage/for-student/student-handbook)
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PART II: SUBJECT SYLLABUSES
Subject Code Subject Title Page No.
Accounting and Finance
AF5115 Accounting for Business Analysis 17
AF5203 Contemporary Issues in Accounting Information Systems 22
AF5312 Principles of Corporate Finance 26
AF5344 Investments 31
AF5364 Quantitative Methods for Accounting and Finance 35
AF5122 Business Analytics in Accounting and Finance 39
AF5365 Applications of Computing and Technology in Accounting
and Finance I
42
AF5123 Financial Analysis and Valuation with Programming 46
AF5366 Applications of Computing and Technology in Accounting
and Finance II
49
AF5112 Management Accounting 53
AF5201 Auditing Framework 58
AF5322 Corporate Risk Management 62
AF5323 Fixed Income Securities 66
AF5351 Derivative Securities 71
AF5353 Security Analysis and Portfolio Management 75
AF5937 Accounting and Finance Analytics Project 80
Management and Marketing
MM5412 Business Intelligence and Decision 82
Computing
COMP5112 Data Structures and Database Systems 85
COMP5511 Artificial Intelligence Concepts 87
The subject syllabuses contained in this Programme Document are subject to review and
change from time to time. The School of Accounting and Finance reserves the right to revise
or withdraw the offer of any subject contained in this document. For teaching and learning,
students should refer to the updated subject syllabuses distributed to them by the relevant
subject lecturers when they take the corresponding subjects.
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Subject Code AF5115
Subject Title Accounting for Business Analysis
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
None
Role and Purposes This subject aims to outline and explain the accounting concepts,
techniques and current regulatory and governance environment that
are pertaining to the preparation, presentation, analysis,
understanding, and evaluation of financial reports.
It contributes to the achievement of MSc AFA Programme Outcome by
enabling students to use the conceptual frameworks needed to
evaluate contemporary issues about accounting and finance
disciplines (MSc AFA Programme Outcome 1).
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. Understand and apply the accounting concepts and techniques,
and evaluate their impact on financial statement figures and
presentation;
b. Analyze and evaluate financial statements and financial
performance with various tools such as ratio analysis, trend
analysis, and common-size financial statements;
c. Assess the accounting policies and governance structure adopted
by companies as well as the reporting regulations, such as HKFRS
and IFRS, and their impact on the quality of earnings; and
d. Evaluate the impact of financial analysis on capital markets, and
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business and financial strategy development, investment and
business combination activities.
Subject Synopsis/
Indicative Syllabus
Overview of Financial Statements
The basic accounting techniques and framework; Accounting
concepts; Types of financial statements and their purposes;
Relationship between financial statements and investment decisions;
Role of ratio analysis; Process and limitations of ratio analysis.
Balance Sheet and Its Analysis
Classification of assets and liabilities; Depreciation methods; inventory
valuation; Treatment of intangible assets and contingent liabilities;
Provisions; accruals and prepayments; Leases and off-balance-sheet
debt; Asset valuation and mark-to-market valuation; Pensions and
other retirement benefits; Share equity and reserves; liquidity;
Leverage; Asset management; Common-size balance sheet.
Profit and Loss Statement and Its Analysis
Revenue recognition; Cost of goods sold; Gross and net profit;
Recurrent and non-recurrent items; deferred charges; Extra-ordinary
items; Common-size profit and loss statement; profitability ratios;
Operating ratios; coverage ratios; Earnings per share.
Statement of Cash Flows and Its Analysis
Purpose and format of statement of cash flows; Importance and
measurement of cash flows; Cash flow from operating, investing, and
financing activities; Free cash flow; Limitations of cash flow reporting;
cash flow ratios.
Accounting Issues and Audit Report
Accounting standards and financial statement reporting: non-recurring
items, valuation of tangible and intangible assets, segment reporting;
Equity method of accounting; Earnings management in financial
tsunami; Quality of earnings; Significance and Implications of auditors’
opinion for financial reporting.
Financial Reporting and Analysis for Investments & Business
MSc in Accounting and Finance Analytics 2019/20
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Combinations
Financial reporting and analysis for marketable securities; Bankruptcy
prediction; Related party transactions; Financial reporting and analysis
for business acquisitions; Other information disclosed in annual
reports.
Teaching/Learning
Methodology
This subject comprises of class-contact lectures and workshops.
Workshops will be conducted in the form of group discussion, seminar
and case study. Students are expected to apply their knowledge to
the discussion of the current accounting, business and finance issues
faced by an executive of a firm in Hong Kong. It is the basic philosophy
of learning in this subject that at least 2 hours of outside preparation
are usually required to read the assigned textbook chapter(s) and
reading materials, and to prepare solutions to exercises and problems
as well as presentations, as a prerequisite for a meaningful 1-hour
classroom lecture/seminar.
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d
1. Class participation 10% ✓ ✓ ✓ ✓
2. Individual assignment 20% ✓ ✓
3. Group project and
presentation
20% ✓ ✓ ✓ ✓
4. Final Examination 50% ✓ ✓ ✓ ✓
Total 100 %
MSc in Accounting and Finance Analytics 2019/20
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Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
Class participation – Students have to read assigned reading materials
and complete exercises in order to participate actively in class
discussion, which would assess their understanding of the key
accounting concepts and techniques, and their applications, analysis
and evaluation in financial reporting.
Individual assignment – Each student is required to apply the
accounting knowledge and techniques to analyze and evaluate the
financial position of a company based on its financial statements. The
objectives are to test students’ understanding and application of
relevant concepts and techniques in accounting and financial analysis
to a practical situation.
Group project and presentation – Students are required to select a
target company for detailed analysis, evaluate its financial
performance, and assess its reporting and earnings quality. Students
would apply the accounting knowledge and techniques to analyze and
evaluate the impact of the macro-economic, business environment,
industry, and company operation information on the financial and other
qualitative performance indicators.
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Reading materials/textbook, preparing for class
discussion, and assignments. 78 Hrs.
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Total student study effort 117 Hrs.
Reading List and
References
Textbook:
Gibson, C., Financial Reporting and Analysis, 13th Edition, South-
Western, 2013.
Kieso, D., Weygandt, J., and Warfield, T. Intermediate Accounting
(IFRS Edition)(3rd Edition) Wiley
References:
Penman, S.H., Financial Statement Analysis and Security Valuation,
5th Edition, McGraw-Hill Education, 2013.
Penman, S.H., Accounting for Value, Columbia University Press, 2011.
Indicative Journal Reading:
Campbell, John Y., Jens Hilscher, and Jan Szilagyi, 2008, In search of
distress risk, The Journal of Finance 63, 2899-2939.
Dechow, Patricia, Weili Ge, and Catherine Schrand, 2010,
Understanding earnings quality: A review of the proxies, their
determinants and their consequences, Journal of Accounting and
Economics 50, 344-401.
Fang, J. and Wei. S., Accounting-based valuation and predictability of
market returns: a re-examination, 2016. Hong Kong Polytechnic
University Working Paper.
Lee, Charles M. C., 2014, Value investing: Bridging theory and
practice, China Accounting and Finance Review 16, 10-38.
Penman, Stephen H., 1998, A Synthesis of Equity Valuation
Techniques and the Terminal Value Calculation for the Dividend
Discount Model, Review of Accounting Studies 2, 303-323.
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Subject Code AF5203
Subject Title Contemporary Issues in Accounting Information Systems
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
None
Role and Purposes This subject helps students use the relevant conceptual IT frameworks
to evaluate the functionality and effectiveness of accounting
information systems (AIS), and to analyze the contemporary security
and control aspects of such systems (MSc AFA Programme Outcome
1). This subject is especially useful to those students who are pursuing
a career as a systems accountant or an IT auditor.
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. obtain the knowledge required to function as a systems accountant;
b. apply the knowledge of management support systems to
accounting and related areas; apply business intelligence software,
such as Power BI.
c. analyze the current development of enterprise-wide systems and
their contribution to business process reengineering;
d. apply well-known systems development methodologies for AIS
implementations; and
e. evaluate the accounting controls and security measures in AIS.
Subject Synopsis /
Indicative Syllabus
Fundamental concepts of AIS
Contemporary Enterprise Resource Planning systems (ERP).
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AIS application to major transaction cycles. The Revenue Cycle. The
Expenditure Cycle. The Financial Reporting Systems.
Management decision support systems and Business Intelligence (BI)
Contemporary systems development methodologies for AIS. Software
development life cycle. Prototyping. End-user Development
Ethics, Fraud and IT controls.
Relationship between E-commerce and AIS
Teaching/Learning
Methodology
The three-hour seminar per week will be used by the lecturer for
discussing the various contemporary AIS concepts. Coursework
assignments will be used to reinforce students’ learning. Students are
expected to play an active role to interact with the lecturer and
classmates.
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d e
1. Class participation 15% ✓ ✓ ✓ ✓ ✓
2. Group Project 20% ✓ ✓ ✓
3. Individual
Assignment
15% ✓ ✓ ✓
4. Final examination 50% ✓ ✓ ✓ ✓ ✓
Total 100 %
Explanation of the assessment methods in assessing the intended
learning outcomes:
MSc in Accounting and Finance Analytics 2019/20
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Class participation (15%):
It is assessed based on the students’ performance during class. The
assessment relates to attendance and punctuality as well as
participation in class discussions and quizzes.
Group project (20%):
Each group has to give a presentation for 20minutes followed by a 10-
minute Q&A session. In addition, a written report comprising 1,500 -
2,000 words with similarity check of not more than 15% is to be
submitted.
Individual assignment (15%):
Each student has to submit an individual written report comprising
1,500 - 2,000 words with similarity check of not more than 15%.
Final examination (50%)
The final examination is for 3 hours and is OPEN BOOK. You can bring
any hard copy materials, including books, lecture notes, slides, etc. to
the examination room for reference. Photocopy of books and print out
of e-books are not allowed for copyright reasons. No electronic devices
are allowed.
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Seminars 39 Hrs.
Other student study effort:
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▪ Studying subject materials/reference books
and doing assignments 78 Hrs.
Total student study effort 117 Hrs.
Reading List and
References
J.A. Hall, Accounting Information Systems, Cengage Learning, 10th
edition, 2019.
J.A. Hall, Information Technology Auditing, Cengage Learning, 4th
edition, 2016.
M.B. Romney and P.J. Steinbart, Accounting Information Systems,
Pearson Prentice Hall, 14th edition, 2017.
K.C. Laudon and J.P. Laudon, MIS: Managing the Digital Firm, Global
Edition, 15th edition, Pearson, 2018.
Contemporary articles and journals
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Subject Code AF5312
Subject Title Principles of Corporate Finance
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
Pre-requisite: None
Exclusion: AF5318 Financial Management
AF5327 Finance for Executives
AF5331 Corporate Financial Management
Role and Purposes This course introduces students to the foundation knowledge and
techniques in corporate finance, as well as covering more specialised
aspects of corporate finance on which other subjects can be built. This
course will help students to identify real life corporate finance issues
and explain the related observations or phenomena in terms of sound
financial theories concepts (MSc AFA Programme Outcome 1).
Students are also able to apply the up-to-date corporate finance
principles and see their impact on corporate policies and strategies.
Subject Learning
Outcomes
Upon successful completion of this course, students should be able to:
a. Understand the major tasks of corporate finance;
b. Understand the role of financial markets and interest rate in
corporate financing and how they should be incorporated in
corporate financing decisions;
c. Understand the importance of time value of money and its
relevance to corporate financial decisions, and be able to apply the
up-to-date knowledge acquired in the course to solve similar capital
budgeting problems in other real case situations;
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d. Understand the return-risk relation and the CAPM;
e. Understand issues of cost of capital, capital structure, and different
methods of equity and debt financing.
Subject Synopsis/
Indicative Syllabus
Key Concepts of Corporate Finance
Corporate finance and the financial manager; goals of corporate
management; agency problem, corporate governance and control of
the corporation; value of the firm expressed as contingency claims;
time value of money and present value.
Valuation and Capital Budgeting
Evaluation of capital investment decisions using the net present value
rule; alternative rules for capital budgeting; Risk and return; the CAPM.
Market Efficiency and Behavioral Finance
The efficient market hypothesis; behavioral finance; financial tsunami.
Capital Structure
Financial leverage and firm value; implications of Modigliani and Miller
propositions; capital structure and cost of capital; optimal capital
structure; limits to the use of debt; valuation and capital budgeting for
the levered firm.
Dividend Policy
Types of dividend; dividend policies; factors affecting dividend payout
policy.
Long-term Equity and Debt Financing
Public issue; alternative issue methods; cash offer; announcement of
new equity and the value of the firm; cost of new issues; rights; the
new-issue puzzle; types of bonds; public issue of bonds; bond
refunding; bond rating; private placement of securities.
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Teaching/Learning
Methodology
The subject is structured around lectures/seminars, supplemented by
exercises within and outside class. Participants are urged to prepare
themselves well for each class and to proactively interact with both the
instructor and other students. Students should read all relevant
chapters a few times and try the practice questions at the end of each
chapter. Problem areas should be clarified as early as possible.
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d e
1. Class participation 10% ✓ ✓ ✓ ✓ ✓
2. Homework 10% ✓ ✓ ✓ ✓ ✓
3. Mid-term test 30% ✓ ✓ ✓
4. Final examination 50% ✓ ✓ ✓
Total 100 %
Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
Class participation−Students are required to actively participate in
classroom discussion.
Homework assignments –By doing assignments at home, students are
required to think through the problems and to apply concepts and
techniques learned in the class to the problems.
Mid-term test−A closed-book test with compulsory multiple choice
questions and short analytical questions. It covers the intended
learning outcomes (a), (b), and (c).
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Final examination−3-hour closed book examination with compulsory
questions covering most of the intended learning outcomes.
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Lectures / Seminars 39Hrs.
Other student study effort:
▪ On average, students are expected to spend
about 39 hours for reading teaching materials
and doing exercise questions.
39 Hrs.
▪ On average students are expected to spend
36 hours for the group project discussion,
presentation, and report writing.
36 Hrs.
Total student study effort 114 Hrs.
Reading List and
References
Textbook
Ross, Westerfield, Jaffe, Lim, Tan and Wong, Corporate Finance, (Asia
Global Edition), McGraw-Hill, 2015. (ISBN: 978-1-25901183-2)
Reference
Brealey, R., Myers, S., and F. Allen, Principles of Corporate Finance,
McGraw-Hill, latest edition.
Copeland, T., Weston, J., and Shastri, K., Financial Theory and
Corporate Policy, Pearson, latest edition.
Shefrin, H., Behavioral Corporate Finance, McGraw-Hill, latest edition.
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Journal Article
Baker, Malcolm and Xuan, Yuhai,” Under new management: Equity
issues and the attribution of past returns.” Journal of Financial
Economics, 2016 (121) pp.66-78.
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Subject Code AF5344
Subject Title Investments
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
None
Role and Purposes This course provides a comprehensive coverage of the basic concepts,
theories, applications and decision-making rules for financial
investments. A balance between theories and applications, particularly
in the Asian securities markets, is emphasized.
This subject contributes towards the achievement of the programme
objectives, in particular apply conceptual frameworks drawn from
economics and quantitative method to the analysis of investment
issues (MSc AFA Programme Outcome 1), and formulate financial
strategies and envision their outcomes.).
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. Understand modern portfolio theory and its use in the investment
management process; (Outcome 1)
b. Apply various valuation methods on different financial securities
including equity, bonds, and derivatives; (Outcome 1)
c. Understand the process of portfolio management and portfolio
performance evaluation. (Outcome 3)
Subject Synopsis/
Indicative Syllabus
The Investment Environment
Typical investment instruments; investment process; risk free assets;
MSc in Accounting and Finance Analytics 2019/20
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market indexes and benchmarks; short sales; primary and secondary
markets for equities and bonds; investment companies.
Portfolio Theory
Measure of return and risk; risk return trade-off; diversification and
portfolio risk; optimal risky portfolios; risk-free lending and borrowing;
asset allocation.
Asset Pricing Models
Capital Asset Pricing Model (CAPM); multi-factor models;
Efficient Market Hypothesis
Theory and empirical evidence in favour of and against market
efficiency; limits to arbitrage; behavioural finance; implication of the
debate for investors. Efficient market hypothesis and the financial
market turmoil of 2007-09.
Fundamentals of Equity Valuation
Valuation concepts and methods; valuation models such as dividend
discount model; P/E based models. Implications of financial bubbles
and crises for equity valuation.
Fundamentals of Bond Analysis
Basic features of debt securities; basic valuation models; yield
computation; term structure of interest rates; interest rate risk; duration;
convexity, management of fixed income portfolios.
Fundamentals of Derivatives Securities
Basic terminology; option payoffs; option strategies; futures; use of
derivatives in portfolio management.
Performance Evaluation
Time-weighted versus dollar-weighted returns; risk adjustment in
performance evaluation; performance attribution analysis.
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Teaching/Learning
Methodology
The theoretical aspects of this course will be covered in the class
through lectures. This allows direct contact and discussion between
lecturer and students. Assignments, newspaper articles, and case
studies will be used to illustrate the application of the ideas, and to
encourage independent learning skills. These discussions would play
a critical role in achieving the learning objectives set out for the
programme (MSc AFA Programme Outcome 1).
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c
1. Class
Participation
10% ✓ ✓ ✓
2. Mid-Term Test 20% ✓ ✓
3. Project 20% ✓ ✓
4. Final Examination 50% ✓ ✓ ✓
Total 100 %
Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
Class participation – Students should read assigned readings before
the class to prepare for better learning and possible Q&A sessions in
class.
Homework assignments test students on their understanding of
investments theories and valuation methods.
Group project – the stock portfolio management project applies
portfolio theory in the investment management process and portfolio
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performance evaluation.
Final examination – 3 hours closed book examination with compulsory
questions covering all the intended learning outcomes.
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Reading 39 Hrs.
▪ Homework and Project 39 Hrs.
Total student study effort 117 Hrs.
Reading List and
References
Bodie, Zvi, Alex Kane and Alan J. Marcus, Essentials of Investments,
9th edition, 2013, McGraw-Hill/Irwin, International edition. (Required
Textbook)
Bodie, Zvi, Alex Kane and Alan J. Marcus, Investments, 10th edition,
2013, McGraw-Hill/Irwin.
Malkiel, Burton G., A Random Walk Down Wall Street: The Time-
Tested Strategy for Successful Investing, 10th Edition, 2012, W.W.
Norton & Company.
Reilly, Frank K. and Keith C. Brown, Investment Analysis and Portfolio
Management, 10th edition, 2011, Cengage Learning.
Topical readings from the financial press about local and international
markets.
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Subject Code AF5364
Subject Title Quantitative Methods for Accounting and Finance
Credit Value 3
Level 5
Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
Recommended Background Knowledge:
Undergraduate level statistical analysis; quantitative analysis; and
microeconomics.
Role and Purposes This subject covers the basic concepts and techniques of classical
econometrics, such as sampling theory, probability theory, hypothesis
testing, regressions, etc. Considerable attention is devoted to the
applications of the concepts and techniques to accounting and finance.
We will review basic financial mathematics and some advanced
statistical techniques will also be briefly introduced. This subject is also
designed for those who wish to take the Chartered Financial Analysts
(CFA) examinations.
This subject contributes to the achievement of the MSc in Accounting
and Finance Analytics programme learning outcomes by enabling
students to understand the fundamental quantitative and technological
methods in accounting and finance (MSc AFA Programme Outcome
2).
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. Develop a systematic understanding of the fundamental statistical
and econometric concepts and methodologies;
b. Apply the concepts and methodologies to explain issues related to
accounting and finance; and
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c. Develop ability to resolve real world accounting and finance
problems by applying the quantitative methods to data analysis.
Subject Synopsis/
Indicative Syllabus
Basic Financial Mathematics (Review)
Compounding and discounting; present value and future value
calculations; annuities and perpetuities; dollar and time-weighted rate
of return.
Basic Statistics Concepts
Types of statistical data; measures of central tendency and dispersion.
Probability Concepts
Basic concepts of probability; random variables and probability;
probability theorems; covariance and correlation; expected value and
variance; probability distributions.
Sampling and Estimation
Random sampling and sampling distributions; point and interval
estimates; confidence intervals.
Hypothesis Testing and Statistical Inference
The concepts of hypothesis testing; types of hypothesis testing;
analysis of variance.
Regression Analysis
Linear regression and correlation; multiple regression analysis.
Teaching/Learning
Methodology Concepts and techniques will be introduced through lectures. Students
are required to apply the knowledge and skills in doing exercises and
project. The use of relevant computer package is required.
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Assessment Methods in Alignment with Intended Learning Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c
1. Class Participation 5% ✓ ✓ ✓
2. Homework & Project 25% ✓ ✓ ✓
3. Mid-term Test 20% ✓ ✓ ✓
4. Final Examination 50% ✓ ✓ ✓
Total 100 %
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study Effort Expected
Class contact:
Lectures / Seminars 39 Hrs.
Other student study effort:
Reading materials/textbook and working on
exercises, depending on each student’s
background.
78 Hrs.
Total student study effort 117 Hrs.
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Reading List and References
Quantitative Investment Analysis, by Richard Armand Defusco, Dennis
W. McLeavey, Jerald E. Pinto, David E. Runkle, 3rd edition, John Wiley
& Sons, Inc.
Econometric Methods, 4th edition by Jack Johnston and John DiNardo
Some additional readings will be distributed in class.
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Subject Code AF5122
Subject Title Business Analytics in Accounting and Finance
Credit Value 3
Level 5
Normal
Duration
One Semester
Pre-requisite /
Co-requisite/
Exclusion
None
Role and
Purposes
This subject introduces students to the basic concepts, methods and
approaches of data analytics in accounting and finance.
This subject contributes to the achievement of the MSc in Accounting and
Finance Analytics programme learning outcomes by enabling students to
understand the fundamental quantitative and technological methods in
accounting and finance (MSc AFA Programme Outcome 2).
Subject
Learning
Outcomes
Upon successful completion of this subject, students should be able to:
a. Effectively gather, clean and transform accounting and financial data;
b. Summarize, visualize and present accounting and financial data; and
c. Analyze accounting and financial data with basic analytical approaches.
Subject
Synopsis/
Indicative
Syllabus
Introduction of XBRL
XBRL (eXtensible Business Reporting Language) for Internet
communication among businesses.
Basic Concepts and Methods of Data Analytics
Data preparation and cleaning; Data analytics approaches; Data
visualization and summarization.
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Applications of Data Analytics
Diagnostic, predictive and prescriptive analytics in managerial and financial
accounting and consumer banking.
Teaching/Lear
ning
Methodology
Key concepts and techniques will be introduced through lectures. The
subject places a lot of emphasis on project work. Students will be required to
deliver a project which emphasizes on real-world accounting and finance
issues. By completing the project, students should have hands-on
experience in using the knowledge they have learnt in class to solve
accounting and finance problems in practice. Students are encouraged to
share their views and experiences actively with their lecturer and classmates.
Assessment
Methods in
Alignment with
Intended
Learning
Outcomes
Note: To pass this subject, students are required to obtain Grade D or
above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted based on
the pedagogical needs of subject lecturers.
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed (Please
tick as appropriate)
a b c
1. Lab Quizzes and
Class Participation
20% ✓ ✓ ✓
2. Group Project 15% ✓ ✓ ✓
3. Mid-term test 15% ✓ ✓ ✓
4. Final examination 50% ✓ ✓ ✓
Total 100 %
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Student Study
Effort
Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Reading materials / textbook questions / lab quizzes 39 Hrs.
▪ On average around 16 hours will be spent on the
individual critique and around 20 hours for the group
project discussion, presentation and written report
36 Hrs.
Total student study effort 114 Hrs.
Reading List
and
References
References
Data Analytics for Accounting, 2019, by Richardson, Teeter and Terrell,
McGraw-Hill.
2018 SEC reporting taxonomy
(https://www.fasb.org/jsp/FASB/Page/SectionPage&cid=1176169700059)
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Subject Code AF5365
Subject Title Applications of Computing and Technology in Accounting and Finance I
Credit Value 3
Level 5
Normal
Duration
One Semester
Pre-requisite /
Co-requisite/
Exclusion
None
Role and
Purposes
This subject is designed to study the scientific computing skills and apply the
skills in accounting and finance. The subject covers basic stochastic
modeling, uses Python/R/VBA to value different financial products and do
static/dynamic risk hedging and cash flow replications using Monte Carlo
method, Variance Reduction method, Metropolis Hasting and Gibbs sampler,
and other methods. Direct Market Access is introduced with the applications
in electronic trading using scientific computing tools. After studying this
subject, the student should master the necessary analytical tools for further
study and work.
This subject contributes to the achievement of the MSc in Accounting and
Finance Analytics programme learning outcomes by enabling students to
apply technology and data analytics skills to solve accounting and finance
problems faced in real-life situations in an ethical manner (MSc AFA
Programme Outcome 3).
Subject
Learning
Outcomes
Upon successful completion of this course, students should be able to:
a. Master the basic scientific computing skills
b. Achieve the direct market access
c. Understand the risk measures and their calculation using the real data
MSc in Accounting and Finance Analytics 2019/20
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d. Utilize the Monte Carlo methods to simulate the financial products’
dynamics and implementing pricing models of derivatives
Subject
Synopsis/
Indicative
Syllabus
Business Ethics
The issues in applying business technology and analytical tools in an ethical
way.
Basic Scientific Computing
The issues in the use of scientific computing software packages such as
Python/R/VBA.
Monte Carlo Methods (including Derivative Pricing)
How to implement the Monte Carlo methods to simulate the financial
products’ dynamics, valuate the derivative products’ prices and formulate
corresponding static / dynamic hedging strategies; scenario analysis in
financial statements and stress test.
Electronic Trading / Direct Market Access (DMA)
Utilize the Application Programming Interface (API) to achieve the direct
market access; understand the basic order types and how to construct the
electronic trading platforms.
Risk Measures
Introduce the risk measures and know how to calculate the measures using
scientific computing based on the data from DMA.
Teaching/Lear
ning
Methodology
Key concepts and techniques will be introduced through lectures. The
subject places a lot of emphasis on project work. Students will be required to
deliver a project which emphasizes on real-world accounting and finance
issues. By completing the project, students should have hands-on
experience in using the knowledge they have learnt in class to solve
accounting and finance problems in practice. Students are encouraged to
share their views and experiences actively with their lecturer and classmates.
MSc in Accounting and Finance Analytics 2019/20
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Assessment
Methods in
Alignment with
Intended
Learning
Outcomes
Specific assessment
methods/tasks
%
weightin
g
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d
1. Class participation 5% ✓ ✓ ✓ ✓
2. Quizzes & assignment 25% ✓ ✓ ✓ ✓
3. Group Project 20% ✓ ✓
4. Final examination 50% ✓ ✓ ✓ ✓
Total 100 %
Class participation – Students have to read assigned reading materials and
complete exercises to participate actively in class discussion, which would
assess their understanding of the key concepts and techniques, and their
applications.
Quizzes & assignment – are used to test students’ ability in understanding
the materials and in achieving the intended learning outcomes through a
more in-depth investigation of different topics.
Group Project – Group project will be used for students to apply what is
taught in class and allow the students to learn from one another.
Final Examination – Final examination are used to test students’ overall
ability in applying the knowledge learnt in the subject.
Note: To pass this subject, students are required to obtain Grade D or
above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted based on
the pedagogical needs of subject lecturer.
MSc in Accounting and Finance Analytics 2019/20
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Student Study
Effort
Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Reading materials / textbook questions 39 Hrs.
▪ On average around 16 hours will be spent on the
individual critique and around 20 hours for the group
project discussion, presentation and written report
36 Hrs.
Total student study effort 114 Hrs.
Reading List
and
References
References
Monte Carlo Methods in Financial Engineering, 2003 Edition, P. Glasserman,
Springer
Algorithmic Trading and DMA: An introduction to direct access trading
strategies, 2010 Edition, Barry Johnson, 4Myeloma Press.
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Subject Code AF5123
Subject Title Financial Analysis and Valuation with Programming
Credit Value 3
Level 5
Normal
Duration
One Semester
Pre-requisite /
Co-requisite/
Exclusion
AF5365 Applications of Computing and Technology in Accounting and
Finance I
AF5122 Business Analytics in Accounting and Finance
AF5115 Accounting for Business Analysis
Role and
Purposes
This subject is designed to enable students to conduct financial analysis and
valuation with analytical and computing skills learnt in the pre-requisite
subjects.
This subject contributes to the achievement of the MSc in Accounting and
Finance Analytics programme learning outcomes by enabling students to
apply technology and data analytical skills to solve accounting and finance
problems faced in real-life situations in an ethical manner (MSc AFA
Programme Outcome 3).
Subject
Learning
Outcomes
Upon successful completion of this subject, students should be able to:
a. Develop the ability to gather and analyze financial reports with computing
skills;
b. Apply analytical and computer skills to assess the values of businesses;
and
c. Provide an analysis of companies’ fundamentals and conduct their
valuation with efficient data analytical skills.
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Subject
Synopsis/
Indicative
Syllabus
Application of NLP
Introduction of NLP (Natural Language Processing)
Business Strategy Analysis
Assessment of the profit potential of a firm at a qualitative level; the role of
macroeconomic analysis; framework of industry and competitive analysis.
Accounting and Financial Analysis
The use of XBRL to assess financial statements; Evaluation of a firm’s
performance in the context of its stated goals and strategy; Applications of
frequently used tools such as ratio analysis, cash flow analysis, and
common-base as well as common-size financial statements.
Valuation Principles, Techniques and Practice
Common techniques (e.g. DCF, capitalization of dividends, asset-based
valuation, WACC, CAPM) in valuing business; Contextual analysis with NLP.
Teaching/Lear
ning
Methodology
Key concepts and techniques will be introduced through lectures. The
subject places a lot of emphasis on project work. Students will be required to
deliver a project which emphasizes on real-world business valuation issues.
By completing the project, students should have hands-on experience in
using the knowledge they have learnt in class to conduct financial analysis
in practice. Students are encouraged to share their views and experiences
actively with their lecturer and classmates.
Assessment
Methods in
Alignment with
Intended
Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed (Please
tick as appropriate)
a b c
1. Class
participation
5% ✓ ✓ ✓
MSc in Accounting and Finance Analytics 2019/20
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2. Project &
assignment
25% ✓ ✓ ✓
3. Mid-term test 20% ✓ ✓ ✓
4. Final examination 50% ✓ ✓ ✓
Total 100 %
Note: To pass this subject, students are required to obtain Grade D or
above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted based on
the pedagogical needs of subject lecturers.
Student Study
Effort
Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Reading materials / textbook questions 39 Hrs.
▪ On average around 16 hours will be spent on the
individual critique and around 20 hours for the
group project discussion, presentation and written
report
36 Hrs.
Total student study effort 114 Hrs.
Reading List
and
References
References
Investment Valuation, 3rd Edition 2012 University Edition, by Damodaran, A.,
John Wiley & Sons.
2018 SEC reporting taxonomy
(https://www.fasb.org/jsp/FASB/Page/SectionPage&cid=1176169700059)
MSc in Accounting and Finance Analytics 2019/20
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Subject Code AF5366
Subject Title Applications of Computing and Technology in Accounting and Finance
II
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
AF5365 Applications of Computing and Technology in Accounting and
Finance I
Role and Purposes
This subject is designed to study the new developments in accounting
and finance technology. Students are provided with the knowledge and
practical skills necessary to develop a strong foundation on core
paradigms and algorithms of machine learning (ML), with a particular
focus on applications of ML to various practical problems in Finance.
With the scientific computing skills and necessary theoretical
background in AI and ML, students learn how to implement the
Python/R/VBA to achieve the algorithms and apply the skills in High
Frequency Modelling, Portfolio Analytics, Financial Statement Fraud,
M&A Prediction and others. Application Programming Interface (API)
will be introduced for students to understand Direct Market Access
(DMA) and automatic information collection, data analyses, and order
execution.
This subject contributes to the achievement of the MSc in Accounting
and Finance Analytics programme learning outcomes by enabling
students to apply technology and data analytics skills to solve
accounting and finance problems faced in real-life situations in an
ethical manner (Outcome 3).
Subject Learning
Outcomes
Upon successful completion of this subject, students should be able to:
MSc in Accounting and Finance Analytics 2019/20
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a. Understand the applications of artificial intelligence and machine
learning in accounting and finance
b. Implement the computing tools to achieve some AL and ML
algorithms
c. Construct an algorithmic trading systems and run simple strategies
Subject Synopsis/
Indicative Syllabus
An introduction to Artificial Intelligence and Machine Learning
Start from the regression function and bias variance trade-off to
demonstrate their applications in accounting and finance practice.
Classification/Prediction problems
Introduce the predictive models, Machine Learning, and the
corresponding trading strategies with implementation using scientific
computing tools.
Algorithmic Trading Systems
Utilize the Application Programming Interface (API) and existing trading
strategy to systematically collect exchange data, analyze the data, and
automatically execute the orders and the risk control systems.
Cyber Security
Understand the risk of cyber-attacks and issues of cyber security in
accounting and finance practice.
Teaching/Learning
Methodology
Key concepts and techniques will be introduced through lectures. The
subject places a lot of emphasis on project work. Students will be
required to deliver a project which emphasizes on real-world
accounting and finance issues. By completing the project, students
should have hands-on experience in using the knowledge they have
learnt in class to solve accounting and finance problems in practice.
Students are encouraged to share their views and experiences actively
with their lecturer and classmates.
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Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c
1. Class participation 5% ✓ ✓ ✓
2. Project &
assignment
25% ✓ ✓ ✓
3. Mid-term test 20% ✓ ✓
4. Final examination 50% ✓ ✓ ✓
Total 100 %
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Reading materials / textbook questions 39 Hrs.
▪ On average around 16 hours will be spent on
the individual critique and around 20 hours for
the group project discussion, presentation and
written report
36 Hrs.
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Total student study effort 114 Hrs.
Reading List and
References
References
The Elements of Statistical Learning: Data Mining, Inference, and
Prediction, 2nd Edition, Trevor Hastie, Robert Tibishirani, Jerome
Friedman, Springer
An Introduction to Statistical Learning: with Applications in R, 1st
Edition, Gareth James, Daniela Witten, Trevor Hastie, Robert
Tibishirani, Springer
Algorithmic Trading and DMA: An introduction to direct access trading
strategies, 2010 Edition, Barry Johnson, 4Myeloma Press.
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Subject Code AF5112
Subject Title Management Accounting
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
None
Role and Purposes This subject aims to equip students with a thorough understanding in
management accounting concepts and techniques, and to provide
them with an understanding of the uses and limitations of data in
planning, control and decision making. It contributes to the
achievement of Programme Outcomes by enabling students to use
cost accounting and financial accounting information effectively for
planning, control and decision making, appreciate management
accounting as an interdisciplinary subject in its context as an
information and decision support system within the modern industrial
and commercial organizations and apply planning and control
techniques for strategy formulation and implementation (MSc AFA
Programme Outcome 1).
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. explain the overall management accounting framework and it’s
implications in business context;
b. explain the basic costing concepts and the various costing systems
in both traditional and contemporary manufacturing environment
and determine product cost under traditional and contemporary
costing systems;
c. use cost information and other factors to aid management decision
MSc in Accounting and Finance Analytics 2019/20
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making;
d. explain the planning and control framework and their implications
to management functions and use financial / non-financial
information to aid planning and control; and
e. appreciate management accounting as an interdisciplinary subject
in its context as an information and decision support system within
modern industrial and commercial organizations.
Subject Synopsis/
Indicative Syllabus
Job-order and Process Costing
The flow of cost. Problems of overhead application. Job-order
costing in service companies. Equivalent unit computations. First-
in-first-out and weighted average method.
Activity-based Costing
ABC vs. traditional costing systems. Cost pools and cost hierarchies.
First and second stage allocation. Activity-based management.
Joint and By-product Costing
Differentiate between joint and by-products. Accounting for joint and
by-products.
Cost-Volume-Profit Analysis and Decision Making
Review of Cost Behavior. Approaches to analyse the cost function.
Breakeven point for single and multi-product settings. The concepts
of operating leverage and margin of safety. Use of relevant cost in
different decision environments. Buy versus make decision. Keep or
abandon. Decision Making under Uncertainty.
Standard Costing and Budgeting
Budgetary Process. Behavioural aspects of the budgetary process.
Basic and advance variance computations. Application of variances
in management control.
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Performance Measurement
Review of different performance indicators. The choice of the
appropriate performance measures. Behavioural aspects of
performance measures.
Transfer Pricing Policy
Examine various transfer pricing policy and the criteria of a good
transfer policy will be examined. The behavioural aspects of
implementing different transfer policy.
Responsibility to Clients, Management and Owners
Contemporary Issues in Management Accounting
Teaching/Learning
Methodology
Key concepts and principles will be introduced in the 3-hour seminar.
Class discussion will also be conducted to stimulate students’ critical
thinking on the subject matter. Students will immediately apply the
knowledge they have learnt in completing group assignments.
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d e
1. Term test 25% ✓ ✓
2. Class participation 10% ✓ ✓ ✓ ✓ ✓
3. Group
assignments
15% ✓ ✓ ✓ ✓ ✓
4. Final examination 50% ✓ ✓ ✓ ✓ ✓
Total 100 %
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Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
The term test assesses the students’ understanding of costing
principles. The test requires students to analyze and apply costing
principles to determine product cost under different manufacturing or
non-manufacturing settings.
Class participation stimulates students’ critical thinking in issues
related to product cost determination and using financial/non-financial
information for strategic and operational planning, control and decision
making.
Group assignments require students to complete a problem/mini-case
by applying the concepts presented in class.
Final examination – The 3-hour examination tests the students’ ability
to apply financial and non-financial information towards management
planning, control and decision-making.
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
• 13 weeks of three-hour seminar 39 Hrs.
Other student study effort:
• Class preparations, reading subject
materials/textbook, assignments and group
discussions
78 Hrs.
Total student study effort 117 Hrs.
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Reading List and
References
Garrison, Noreen, Brewer, et al, Managerial Accounting, Asian Global
Edition, Latest edition, latest edition, McGraw Hill.
Horngren, Datar, Foster, Ittner, Cost Accounting, latest edition,
Prentice Hall.
Antony & Govindarajan, Management Control Systems, latest edition,
McGraw Hill.
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Subject Code AF5201
Subject Title Auditing Framework
Credit Value 3
Level 5
Pre-requisite /
Co-requisite/
Exclusion
AF5111 Co-requisite: Accounting for Corporations
Role and Purposes The subject provides students with a set of basic concepts and
methodology of the modern auditing and assurance services, with a focus
on the financial statement audits. The subject emphasizes the audit
process, reporting and current issues affecting auditing and assurance
services. It contributes to the achievement of the Programme Outcomes
by enabling students to apply and evaluate contemporary development
and framework in Auditing and analyze and evaluate the ethical issues
facing professional accountants (MSc AFA Programme Outcome 1).
Subject Learning
Outcomes
On successfully completing this subject, students will be able to:
a. explain the concepts and development of the modern auditing and
assurance services, the objectives of auditing and professional
standards;
b. apply basic skills of managing, designing and implementing
methodologies for examining, verifying, evaluating and reporting on
financial organizations;
c. explain the underlying concepts and objectives of internal control and
audit risk under both IT and manual environment as well as ethical
principles; and
d. analyze the major ethical issues in accountancy and of the conduct
expected of professional accountants by HKICPA.
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Subject Synopsis/
Indicative Syllabus
An Overview of Auditing, and Legal, Professional and Ethical
Requirements
Nature and objective of auditing and assurance services. Types of audit.
Independence and professional ethics. Hong Kong Companies
Ordinance requirements and Auditing Standards in Hong Kong.
Audit planning, Materiality, Audit Risk, Sample Testing and Evidence
Engagement planning. The assessment of materiality and audit risk. The
audit-risk model. Sample testing and evidential matters. Types of audit
tests.
Internal Control and Internal Audit
Concept of internal control. The study and evaluation of internal control
applicable to several major cycles. Effectiveness of internal control
system on audit strategies and audit testing.
Concept of internal audit and operational audit. Differences between
internal & external audit. The assessment of and reliance on internal audit.
Methodologies for Examining the Financial Statements
Audit of sales and collection, purchases and payment, and payroll and
personnel cycle, fixed assets, inventory and liabilities. Review of financial
statements.
Auditing IT Systems
Auditing IT systems. Understanding the internal control structure in an
IT environment. Auditing concepts of control, risk and evidence in an IT
environment.
Reporting
The concept of a true and fair view. Qualified and unqualified audit
report.
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Teaching/Learning
Methodology
The three hours of lecture per week will be used flexibly by the instructor
for discussion of core concepts of subject syllabus and their applications
with students and for carrying out other learning activities with them.
Students are expected to play an active role to share their views and
experiences with their instructor and other classmates.
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d
1. Mid-term test 30% ✓ ✓ ✓ ✓
2. In-class discussion,
case presentation &
participation
20% ✓ ✓ ✓ ✓
3. Final examination 50% ✓ ✓ ✓ ✓
Total 100 %
Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
Mid-term test - A practical audit case(s) requiring students to analyze the
facts/audit issues and apply relevant auditing concepts, standards and
procedures to provide appropriate solution.
In-class discussion, case presentation & participation – Students are
required to actively participate in in-class discussion of questions or short
cases to consolidate the materials covered in the lecture and to help
crystallising the concepts learnt as well as their applications. Students are
also required to present a practical case(s) on the various aspects related
to basic auditing skills and auditing concepts on a group basis.
Final examination – 3 hours examination testing students’ understanding
of fundamental auditing concepts, and ability to analyze the given
MSc in Accounting and Finance Analytics 2019/20
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facts/audit issues and apply relevant auditing concepts, standards and
procedures to provide appropriate solution.
Note: To pass this subject, students are required to obtain Grade D
or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted based
on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ 13 weeks of 3 hours seminar each 39 Hrs.
Other student study effort:
▪ Students are on average expected to spend
around 2 hours for each contact hour for
reading subject material/textbook, doing
presentation discussion and written report
78 Hrs.
Total student study effort 117 Hrs.
Reading List and
References
Elder, R. J., M.S. Beasley and A.A. Arens, Auditing and Assurance
Services: An Integrated Approach, latest edition, Prentice Hall.
Leung, P., P. Coram, B. J. Cooper and P Richardson, Modern Auditing &
Assurance Services, latest Edition, Wiley.The Hong Kong Standards on
Auditing
Code of Ethics for Professional Accountants
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Subject Code AF5322
Subject Title Corporate Risk Management
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
Pre-requisite: AF5344 Investments
Exclusion: AF5333 Risk Management for Corporations
AF5336 Business Risk Management
Role and Purposes This course is to prepare students to establish the body of knowledge
necessary for independent risk management analysis and decision-
making. It builds on basic finance concepts and gives the students
an understanding on how a business can identify, measure and control
its risks. It contributes to the achievement of the programme
outcomes by enabling students to identify, explain and solve real-life
risk management problems of non-financial and financial institutions
(MSc AFA Programme Outcome 1).
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. Understand the basic principles of risk management and the role
of risk management in business firms
b. Identify and analyze underlying factors that lead to good/poor risk
management of a business
c. Use relevant tools to identify, measure and control risk exposure
related to operation, financing and investment in a global market
d. Apply Value-at-Risk (VAR) methodology to assess various types
of risk for a business
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Subject Synopsis/
Indicative Syllabus Basic Concepts of Risk and Risk Management
Definitions of risk and risk management. Risk concepts and
processes.
Risk Identification, Measurement and Control
Classification of risk. Basic tools. Value-at-Risk (VAR). Stress
testing.
Liquidity Risk
Asset liquidity risk. Funding liquidity risk. Liquidity-adjusted VAR.
Credit Risk
Credit exposure. Default risk. Pricing credit risk.
Operational Risk
Identification, assessment and loss distributions. Data challenge.
Integrated/Enterprise Risk Management
Enterprise-wide risk management, its importance and principles.
Teaching/Learning
Methodology
Lectures and seminars will be conducted on the topics of the syllabus.
Lecture time will be used flexibly for discussing key concepts and their
applications with students and carrying out other learning activities with
them. Such activities include group discussions and student
presentations of their work (to develop students’ critical thinking,
analytical skills, teamwork, and communication skills). To maximize
benefits, students are encouraged to share their views and
experiences actively with their lecturer and classmates.
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Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d
1. Individual Essay 20% ✓ ✓ ✓ ✓
2. Project
Presentation
20% ✓ ✓ ✓ ✓
3. Participation 10% ✓ ✓ ✓ ✓
4. Final Examination 50% ✓ ✓ ✓ ✓
Total 100 %
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Preparing for classes and reviewing course
materials. 38 Hrs.
▪ Writing individual essay 10 Hrs.
▪ Preparing for group presentation 10 Hrs.
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▪ Preparing for final exam 20 Hrs.
Total student study effort 117 Hrs.
Reading List and
References
Required Text
An E-book “Risk Management” by McGraw Hill with selected chapters
from:
Crouhy, M, D. Galai and R. Mark, The Essentials of Risk Management,
2nd edition, McGraw Hill, 2014.
Jorion, Philippe, Value At Risk: The New Benchmark for Managing
Financial Risk,3rd edition, McGraw Hill, 2007.
Other References
Lam, James, Enterprise Risk Management, Wiley, 2003.
Hull, John, Risk Management and Financial Institutions, 2nd edition,
Prentice Hall, 2010.
Chance & Brooks, An Introduction to Derivatives & Risk Management,
9th edition, Thomson, 2013.
Marthinsen, John, Risk Takers: Uses and Abuses of Financial
Derivatives, 2nd edition, Pearson, 2009.
Additional readings will be distributed in class or put into Blackboard.
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Subject Code AF5323
Subject Title Fixed Income Securities
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
Pre-requisite: AF5344 Investments
Role and Purposes This course is concerned with fixed income securities and interest rate
risk management. It will introduce tools used to explore the
theoretical and empirical aspects of fixed income securities and their
derivatives. It contributes to the achievement of the programme
outcomes by enabling students to understand and explain real life
issues related to fixed income securities, and apply relevant concepts
and tools to solve problems on fixed income investment (MSc AFA
Programme Outcome 1).
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. Understand and explain the issues in pricing, hedging, and
arbitrage in the fixed income securities markets.
b. Evaluate various types of fixed income products and analyze their
potential risk and return.
c. Apply theories and concepts learned and appreciate fixed income
investment decisions.
d. Understand and explain the recent developments and issues of
the fixed income markets.
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Subject Synopsis/
Indicative Syllabus
The Basic Products
Bond price arithmetic. Treasury bills, notes, bonds and strips.
Organization of government bond markets. Spot rates, par rates and
forward rates. Constructing zero curves.
Risk Management
Measures of price sensitivity. Simple hedging strategies using fixed
income derivatives. Eurodollar futures. Bond futures. Interest rate
swaps.
Pricing Interest Rate Claims
Theories of the term structure. Arbitrage free pricing.
Corporate Securities and Credit Risk
Corporate bonds and credit risk. Credit derivatives.
Mortgages and Their Derivatives
Mortgages and mortgage backed securities. Prepayment risk.
Securitization and credit crisis.
Bonds with Embedded Options
Basic pricing principles. Static spread and option-adjusted spread.
Negative convexity. Effective duration and convexity.
Teaching/Learning
Methodology
Lectures and seminars will be conducted on the topics of the syllabus.
Lecture time will be used flexibly for discussing key concepts and their
applications with students and carrying out other learning activities with
them. Such activities include group discussions and student
presentations of their work (to develop students’ critical thinking,
analytical skills, teamwork, and communication skills). To maximize
benefits, students are encouraged to share their views and
experiences actively with their lecturer and classmates.
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Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d
1. Mid-term Test 15% ✓ ✓
2. Individual Essay 15% ✓ ✓ ✓
3. Group Presentation 15% ✓ ✓ ✓
4. Participation 5% ✓ ✓ ✓ ✓
5. Final Examination 50% ✓ ✓ ✓ ✓
Total 100 %
Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
Mid-term Test – It is a closed-book test to cover the intended subject
learning outcomes.
Individual Essay – Students have to do a case study or write on a topic
about fixed income securities or markets so as to test their abilities to
apply concepts taught.
Group Presentation – Students are required to work on a group basis
and present an analysis of a current issue about fixed income
securities or markets. They have to demonstrate their understanding
of concepts taught and their abilities to explain the recent development
of the markets.
Participation – Students have to actively discuss questions presented
to them in classes to show their understanding of concepts taught and
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their abilities to apply relevant tools to analyze fixed income securities
products.
Final Exam – It is a 3-hour closed-book exam with compulsory
problem-solving type and essay type questions to test students’
understanding of and abilities to apply all concepts taught.
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Preparing for classes and reviewing course
materials. 39 Hrs.
▪ Writing individual essay 10 Hrs.
▪ Preparing for group presentation 10 Hrs.
▪ Preparing for mid-term test and final exam 20 Hrs.
Total student study effort 118 Hrs.
Reading List and
References
Textbook
Fabozzi, F., Bond Markets, Analysis, and Strategies, 8th edition,
Pearson, 2013.
References
Ceva, K.J. (2014) “Opportunities in Emerging Market Debt” CFA
Institute Conference Proceedings Quarterly, Fourth Quarter, 1-10.
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Vandersteel, T. (2014) “Assessing Value Across Emerging Debt
Markets” CFA Institute Conference Proceedings Quarterly, Fourth
Quarter, 62-71.
Levine, R., How to Make Money with Junk Bonds, 2012, McGraw Hill.
Supplementary readings from academic/professional journals and
websites.
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Subject Code AF5351
Subject Title Derivatives Securities
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite /
Co-requisite/
Exclusion
Pre-requisite: AF5344 Investments
Role and Purposes This subject contributes to the achievement of the Programme
Outcomes by enabling students to solve asset management/corporate
finance problems as they present themselves in real-life situations
(MSc AFA Programme Outcome 1)).
Subject Learning
Outcomes
Upon completion of the subject, students will be able to:
a. have an in-depth understanding of the derivative assets such as
options, futures, and forwards;
b. price and formulate different trading strategies of derivatives
traded in the financial market;
c. use derivative assets in hedging and trading from the perspectives
of a corporate treasurer or trader; and
d. construct and price complex derivative financial instruments.
Subject Synopsis/
Indicative Syllabus
Derivative Assets and Markets
Characteristics of forward, futures, options and swaps; market
structures and conventions.
Pricing and Trading Strategies of Futures
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Properties of forward and futures prices; forward and futures pricing
model; futures trading strategies.
Pricing and Trading Strategies of Options
The Binomial model; the Black-Scholes Model: assumptions,
adjustments and applications; option trading strategies including
spreads, straddles, straps and strips.
Hedging and Trading Strategies for Options and Futures
Hedging concepts; types of hedges; determination of hedge ratios.
Teaching/Learning
Methodology
Most of the material will be covered in a lecture format but class
participation is strongly recommended for students to obtain the most
out of this course.
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
To assess whether the students achieved the learning outcomes of this
subject, the focus of mid-term examination will be on the use and the
principle of pricing of forward and futures. Students are also required
to do a group project to demonstrate their in-depth understanding of
various derivative instruments. The final examination will have an
emphasis on the pricing and formulation of the trading strategies of
derivative instruments and the usage of derivative securities in the
hedging and trading from a corporate treasurer or trader’s perspective.
Specific assessment
methods/tasks
%
weighting
Intended subject learning
outcomes to be assessed
(Please tick as appropriate)
a b c d
1. Mid-term Test 20% ✓ ✓ ✓
2. Individual Essay 15% ✓
3. Group Project 10% ✓ ✓ ✓ ✓
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4. Participation 5% ✓ ✓ ✓ ✓
5. Final Examination 50% ✓ ✓ ✓ ✓
Total 100 %
Explanation of the appropriateness of the assessment methods in
assessing the intended learning outcomes:
Mid-term Test – 1 hour 30 minutes closed book examination with
compulsory questions covering the intended learning outcome.
Individual Essay – Each student is required to submit two individual
essays. The objective is to test students’ abilities to apply subject
knowledge to a practical situation.
Group Project – Students are required to apply techniques to process
and analyze information from financial statements of a listed company
as part of the decision making in certain business context such as
credit analysis and equity analysis.
Final Exam – 3 hours closed book examination with compulsory
questions covering the intended learning outcome.
Note: To pass this subject, students are required to obtain Grade
D or above in BOTH the Continuous Assessment and Examination
components. In addition, the specific requirements on individual
assessment components discussed above could be adjusted
based on the pedagogical needs of subject lecturers.
Student Study
Effort Expected
Class contact:
▪ Seminars 39 Hrs.
Other student study effort:
▪ On average, students are expected to spend
around 8 hours (for seven week block mode)
for reading materials/ textbook and to answer
56 Hrs.
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questions and solve numerical problems a
weekly basis.
▪ Group project discussions and preparation 22 Hrs.
Total student study effort 117 Hrs.
Reading List and
References
Indicative Reading
Chance, D., & Brooks, R., An Introduction to Derivatives and Risk
Management, 9th edition, Cengage, 2013.
Hull, J., Fundamentals of Futures, Options Markets, 9th edition,
Pearson, 2016.
Black, F., & Scholes, M. (1973) “The pricing of options and corporate
liabilities”, Journal of Political Economy 3, 637-654.
Merton, R. C. (1973) “The theory of rational option pricing”, Bell Journal
of Economics and Management Sciences 4, 141-183.
Cox, J. C., Ross, S. A., & Rubenstein, M. (1979) “Option pricing: A
simplified approach”, Journal of Financial Economics 7, 229-263.
Statman, M. (2009) “Regulating financial markets: Protecting us from
ourselves and others”, Financial Analysts Journal, vol. 65, 3, 1-10.
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Subject Code AF5353
Subject Title Security Analysis and Portfolio Management
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite / Co-requisite/ Exclusion
Pre-requisite: Investments (AF5344)
Have good knowledge of using basic functions and commands in EXCEL
Role and Purposes There are two major emphases in this course. The first part of the course focuses on portfolio analysis and the second part of the course focuses on investment management process. This subject helps achieve the Outcomes by enabling students to apply theories and professional knowledge to conduct portfolio analysis with real investment problems and solve portfolio management issues (Outcome 2), and to critically examine the internal and external situations relate to investment problems (MSc AFA Programme Outcome 1).
Subject Learning Outcomes
Upon successful completion of this course, students should be able to:
a. Understand Risk and Return in the financial markets
b. Give recommendation of investment plans based on investors’ circumstance including policy statement, asset allocation strategy, mutual fund selection, and the portfolio construction
c. Apply single-factor and multifactor models to construct real equity portfolios
d. Evaluate the performance of equity funds with up-to-date performance measures
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Subject Synopsis/ Indicative Syllabus
The Mean-Variance Analysis and Portfolio Optimization in Practice
The issues in the use of the mean-variance optimization in practice and possible solutions for them
Asset Pricing Models and Factor Models
The single-factor model and multi-factor models; the correlation structures of security returns under asset pricing models; and the applications of asset pricing models in equity portfolio construction
Investment Management Process
Policy statement, asset allocation strategy, portfolio construction and implementation, and international issues
Equity Portfolio Management Strategies
Asset allocation strategies; active, passive and semi-active portfolio management strategies
Portfolio Performance Evaluation and Risk Measure
Holding-based portfolio performance measures; and an introduction of downside risk measures and the Value-at-Risk measure
Alternative Investment and Structured Securities
An introduction of alternative investments, hedge fund strategies and pricing structured securities
Behavioral Finance (Optional)
The impact of heuristic-driven biases on investment decision making including representativeness, overconfidence, anchoring-and-adjustment, and aversion to ambiguity
Teaching/Learning Methodology
Key concepts and techniques will be introduced through lectures. The course places a lot of emphasis on project work. Students will be required to deliver a project which emphases on real-world investment issues. By completing the project, students should have hands-on experience in using the knowledge they have learned in class to solve investment problems in practice. Students are encouraged to share their views and experiences actively with their lectures and classmates.
Assessment Methods in Alignment with
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Intended Learning Outcomes
Specific assessment methods/tasks
% weighting
Intended subject learning outcomes to be assessed (Please tick as appropriate)
a b c d e
1. Class Participation 5% ✓ ✓ ✓ ✓ ✓
2. Project & Assignment
25% ✓ ✓ ✓ ✓ ✓
3. Midterm 30% ✓ ✓ ✓
4. Final examination 40% ✓ ✓ ✓
Total 100 %
Explanation of the appropriateness of the assessment methods in assessing the intended learning outcomes:
Note: To pass this subject, students are required to obtain Grade D or above in BOTH the Continuous Assessment and Examination components. In addition, the specific requirements on individual assessment components discussed above could be adjusted based on the pedagogical needs of subject lecturers.
Student Study Effort Expected
Class contact:
▪ Lectures / Seminars 39 Hrs.
Other student study effort:
▪ Reading materials / textbook questions 39 Hrs.
▪ On average around 16 hours will be spent on the individual critique and around 20 hours for the group project discussion, presentation and written report
36 Hrs.
Total student study effort 114 Hrs.
Reading List and References
Reference
Essentials of Investment, 9th edition, Zvi Bodie, Alex Kane and Alan Marcus (McGraw-Hill/Irwin, 2012)
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Modern Portfolio Theory and Investment Analysis, 8th edition, Edwin J. Elton, Martin J. Gruber, Stephen J. Brown, and William N. Goetzmann (John Wiley & Sons, 2011)
Analysis of Investments and Management of Portfolios, 10th edition, Frank K. Reilly and Keith C. Brown (South-Western, 2012)
Other Reference
Title Authors Why?
(Other good textbooks)
Investment Zvi Bodie, Alex Kane and Alan Marcus
An advanced version of Essentials of Investment
Investment Science David Luenberger
First course in Quantitative Finance (Intermediate Investment)
Statistical Models and Methods for Financial Market
TL Lai and H. Xing Best statistical modeling book
Algorithmic Trading and DMA
Barry Johnson First course in algorithmic trading and orders splitting
(Investment in Practice)
Active Portfolio Management
Richard Grinold and Ronald Kahn
A Quantitative Approach for Providing Superior Returns and Controlling Risk
The Intelligent Investor
Benjamin Graham Best book of practice in Value Investing
A random walk down wall street
Burton G. Malkiel
Individual investors are better off buying and holding onto index funds
A non-random walk down wall street
Andrew Lo and A. C. MacKinlay
views again the previous book
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Fooled by randomness
Nassim N. Taleb Lucky or Skill?
Black Swan Nassim N. Taleb All the swans are white?
Irrational Exuberance Robert J. Shiller
Internet Bubble 1998-2001, most famous word of Nobel Laureates
(Investment Banking)
Monkey Business John Rolfe and Peter Troob
Entry level iBanker's life
Barbarians at the Gate
Bryan Burrough and Johb Helyar
M&A classic book (usually higher level)
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Subject Code AF5937
Subject Title Accounting and Finance Analytics Project
Credit Value 3
Level 5
Normal Duration One Semester
Pre-requisite / Co-requisite/ Exclusion
None
Role and Purpose
This subject allows students to integrate theory with practice through intensive and extensive investigations to come up with a quality report with relevant findings and sound recommendations. It aims to develop and measure the students’ abilities to analyze and solve a complex problem.
This subject contributes to the achievement of the MSc in Accounting and Finance Analytics programme learning outcomes by enabling students to apply technology and data analytics skills to solve accounting and finance problems faced in real-life situations in an ethical manner (MSc AFA Programme Outcome 3)
Subject Learning Outcomes
Upon completion of the project, students should be able to:
a. identify problem areas or critical issues that are related to various functions of accounting and finance;
b. design and select the appropriate research methodologies by making reference to well-established literature;
c. collect and analyse relevant data, provide solutions to problems and draw appropriate conclusions;
d. carry out their study in a logical, disciplined and timely manner; and
e. apply appropriate presentation skills to write up a project report in a clear, concise, precise and systematic manner.
Subject Synopsis/ Indicative Syllabus
There is no formal syllabus. Students are required to carry out, under the supervision of their supervisors, a series of activities which are set out in the Project Manual.
Teaching/Learning Methodology
An introduction seminar will be given at the beginning to explain the key issues of the subject; students are then required to carry out their 3-credit projects in consultation with their supervisors.
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Assessment Methods in Alignment with Subject Learning Outcomes
Specific assessment methods/tasks
% weighting
Subject learning outcomes to be assessed (Please tick as appropriate)
a b c d e
1. Proposal write-up 25% ✓ ✓ ✓ ✓ ✓
2. Final written report 75% ✓ ✓ ✓ ✓ ✓
Total 100 %
Explanation of the appropriateness of the assessment methods in assessing the outcomes:
The project proposal enables students to identify the problem area or critical issues and design and select the appropriate research methodologies. The final project report allows students to conduct their study and come up with sound recommendations.
Note: The minimum passing grade of this subject is D.
Student Study Effort Required
Class contact:
▪ Discussion with project supervisors 14 Hrs.
Other student study effort:
▪ Self-study 115 Hrs.
Total student study effort 129 Hrs.
Reading List and References
(Specific to the project topic)
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Subject Code MM5412
Subject Title Business Intelligence and Decisions
Credit Value 3
Level 5
Pre-requisite / Co-requisite/ Exclusion
None
Role and Purposes Business intelligence (BI) encompasses tools, systems, methodologies and applications, all of which are integrated to improve business decision making. The purpose of BI is to support better business decision making. BI is evolving from its origins as primarily a support tool for executives and is quickly becoming a commodity shared by managers, decision makers and analysts across organizations. This course is to introduce the students to theses various analytical tools and methodologies to support business decisions making (MSc AFA Programme Outcome 3).
Subject Learning Outcomes
Upon completion of the subject, students will be able to:
a. Perceive how the business intelligence (BI) can help in a complex business environment decision making and improvement.
b. Evaluate and select BI tools for the improvement of productivity and efficiency of an organization.
c. Apply BI to support better business decision making.
Subject Synopsis/ Indicative Syllabus
1. Introduction to BI
2. Applications of Data Mining in business
3. Discriminant analysis and logistic regression
4. Computational decision analysis and modelling
5. Decision tree
6. Analytical hierarchy process for decision making
7. Computational simulation for decision making
Teaching/Learning Methodology
The subject will be taught via lectures, seminars, and computer lab sessions with a variety of methods as its pedagogy to help students achieve the above learning outcomes.
1. General announcement and an opportunity for students to ask
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questions to address any unfinished thoughts from the previous class;
2. Overview of the current class agenda and its relationship to past discussion;
3. Extended period of students- or instructor-led discussion of the key issues in the assigned case or readings. Collaborative learning strategies (learning via discussion in a small group) may be employed during part of this time;
4. Lab sessions during tutorials to provide students hands-on experiences of using business analytics tools.
Assessment Methods in Alignment with Intended Learning Outcomes
Specific assessment methods/tasks
% weighting
Intended subject learning outcomes to be assessed (Please tick as appropriate)
a b c
Continuous Assessment
100%
1. Participation 20% ✓ ✓ ✓
2. Individual Assignments and quiz
40% ✓ ✓ ✓
3. Group Assignment 40% ✓ ✓ ✓
Total 100 %
*Weighting of assessment methods/tasks in continuous assessment may be different, subject to each subject lecturer.
To pass this subject, students are required to obtain Grade D or above in the Continuous Assessment components.
Explanation of the appropriateness of the assessment methods in assessing the intended learning outcomes: the various methods are designed to ensure that all students taking this subject to have a balanced learning experience.
Feedback is given to students immediately following the presentations and all students are invited to join this discussion.
Class contact:
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Student Study Effort Required
▪ Lectures 39 Hrs.
Other student study effort:
▪ Preparation for lectures 28 Hrs.
▪ Preparation of assignment / group assignment and presentation
56 Hrs.
Total student study effort 123Hrs.
Reading List and References
Hair, et al. (2013), Multivariate Data Analysis, Pearson International Edition.
Moore, J. H. and Weatherford, L. R. (2001) Decision Modelling with Microsoft Excel, (6th Edition), Prentice Hall.
Turban E., et al., (2008), Business Intelligence: A Managerial Approach, Pearson International Edition.
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Subject Code COMP 5112
Subject Title Data Structures and Database Systems
Credit Value 3
Level 5
Pre-requisite/
Co-requisite/
Exclusion
NIL
Objectives The objectives of this subject are:
1. Apply data structures, sorting and searching algorithms in developing computer programs.
2. Use and administrate a database system properly.
Intended Learning
Outcomes
Upon completion of the subject, students will be able to: (a) understand the properties, strengths and weaknesses of different data structures;
(b) possess the knowledge of sorting and searching algorithms;
(c) be able to use the associated tools and techniques for database systems;
(d) understand and apply the principles and practices of good database design and analysis.
Subject Synopsis/
Indicative
Syllabus
1. Data structures: representation and algorithms Linear structures: linked-lists, stacks, queues;
tree structures: binary trees, balanced trees, tree traversals; other common data structures: priority queues, heaps.
2. Sorting and searching algorithms Common sorting algorithms: bubble sort, insertion sort, selection sort, quick sort, merge sort, heap sort.
3. Basic concepts of database system Database and its applications; DBMS design objectives and its components; data independence.
4. Relational data model Relational structure; relational algebra; SQL; relational constraints
5. Database design Entity-relationship model; functional dependencies; normalization.
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6. Data storage and querying File organization; indexing and hashing; query processing
Teaching/Learning
Methodology
This subject emphasizes the technical aspects of data structures and practical aspects of database systems. It is intended to equip the student with knowledge and experience on solving real-life problems by using data structures and database systems.
The lectures will be used to deliver course material. Labs and tutorials will be used to practice exercises.
Assessment
Methods in
Alignment with
Intended Learning
Outcomes
Specific assessment methods/tasks
%
weighting
Intended subject learning outcomes to be assessed (Please tick as appropriate)
a b c d
1. Quizzes and Assignments
55% ✓ ✓ ✓ ✓
2. Exam 45% ✓ ✓ ✓ ✓
Total 100 %
Student Study
Effort Expected
Class contact:
▪ Lecture 26 Hrs.
▪ Tutorial/Lab 13 Hrs.
Other student study effort:
▪ Assignments, reading book chapters 80 Hrs.
Total student study effort 119 Hrs.
Reading List and
References
1. Frank M. Carrano, Data Abstraction & Problem Solving with
C++: Walls & Mirrors, 7th Edition, Pearson, 2017. 2. Goodrich, M.T. and Tamassia, R., Data Structures and
Algorithms in Java, 6th Edition, John Wiley, 2014. 3. A Silberschatz, H.F. Korth, S. Sudarshan. Database System
Concepts 6th Edition. McGraw Hill, 2011.
4. Hector Garcia-Molina, Jeffrey D. Ullman & Jennifer Widom.
Database System Implementation, Prentice Hall, 3rd Edition, 2008.
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Subject Code COMP 5511
Subject Title Artificial Intelligence Concepts
Credit Value 3
Level 5
Pre-requisite/Exclusion Nil
Objectives This subject aims to introduce the main concepts, ideas and
techniques of artificial intelligence (AI) to the students so that they could know the various aspects of AI, understand some essential principles and are able to implement some basic AI techniques in their projects or other related work.
Intended Learning Outcomes
Upon completion of the subject, students will be able to:
a) use logic programming (e.g. Prolog) to write programs to
solve simple AI problems;
b) master the basic searching techniques (e.g. breadth first search, depth first search, A search, etc.) for problem solving;
c) to know how to represent the knowledge and do reasoning;
d) to do reasoning in uncertainty situations;
e) know how to use the basic machine learning technique;
f) to use artificial neural networks for data classification; and
g) know the basic techniques in computer vision and image understanding.
Subject Synopsis/ Indicative Syllabus
• Logic Programming: Foundations of logic programming and the PROLOG language.
• Problem Solving and Search Strategies: Uninformed search and basic heuristic search strategies.
• Knowledge Representation: Logic Representations, Propositional logic, First order logic, Automated reasoning
• Reasoning in Uncertainty Situations: Non-monotonicity, Truth maintenance systems, Fuzzy logic, Bayesian reasoning.
• Artificial Neural Networks: What is ANN? The architectures of ANNs. What can ANN do? How do ANNs learn?
• Symbol based machine Learning: Version space search, Decision tree, Explanation-based learning, Unsupervised
learning.
• Selected Advanced Topics: Natural Languages Processing, Visual Image Understanding, Pattern Recognition, etc.
Teaching/Learning Methodology
This course explores the core AI concepts. It provides a comprehensive introduction to the problems and techniques of artificial intelligence. Theory and practice are both emphasized. To enhance the understanding of how conceptions and ideas in AI are actually implemented, prolog and expert system shells will be used for programming exercises and projects. Lectures will be
supplemented with video sessions to enhance student's learning. A fair portion of guided reading will also be provided.
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39 hours of class activities including - lecture, tutorial, lab, workshop seminar where applicable.
Assessment Methods in Alignment with Intended Learning Outcomes
Student study effort expected
Class Contact:
Class activities (lecture, tutorial, lab) 39 hours
Other student study effort:
Assignments, Quizzes, Projects, Exams 65 hours
Total student study effort 104 hours
Reading list and references
(1). Bratko, I., 2001, PROLOG, Programming for Artificial
Intelligence, 3rd edition, Addison-Wesley.
(2). Luger, G.F., 2009, Artificial Intelligence: Structures and Strategies for Complex Problem Solving, 6th edition, Addison-Wesley.
(3). Russell, S. and Norvig, P., 2003, Artificial Intelligence - A Modern Approach, 2nd edition, Prentice Hall.
Papers and articles selected from:
Artificial Intelligence AI Expert
AI Magazine Applied
Intelligence IEEE
Computer
IEEE Intelligent Systems and their Applications
IEEE Trans. Neural Networks
Specific Assessment Methods/Tasks
%
weighting
Intended subject learning outcomes to be assessed
a b c d e f g
Assignments, Tests & Projects
55 ✓ ✓ ✓ ✓ ✓ ✓ ✓
Final Examination 45 ✓ ✓ ✓ ✓ ✓ ✓ ✓
Total 100
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This Programme Document is subject to review and changes which the programme offering Faculty/Department /School/College can decide to make from time to time. Students will be informed of the changes as and when appropriate.
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