Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

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Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version
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Transcript of Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Page 1: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Risk and Return – Introduction

For 9.220, Term 1, 2002/0302_Lecture12.pptStudent Version

Page 2: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Outline

Introduction What is risk? An overview of market performance Measuring performance

Return and risk measures Summary and Conclusions

Page 3: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Introduction It is important to understand the relation

between risk and return so we can determine appropriate risk-adjusted discount rates for our NPV analysis.

At least as important, the relation between risk and return is useful for investors (who buy securities), corporations (that sell securities to finance themselves), and for financial intermediaries (that invest, borrow, lend, and price securities on behalf of their clients).

Page 4: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

What is risk?

Definition: risk is the potential for divergence between the actual outcome and what is expected.

In finance, risk is usually related to whether expected cash flows will materialize, whether security prices will fluctuate unexpectedly, or whether returns will be as expected.

Page 5: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

An overview of market performance – is there risk?

DJIA (Dow 30) January 1930 to October 2002

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Page 6: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

An overview of market performance – is there risk?

Monthly % Change in DJIA (Dow 30) January 1930 to October 2002

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Page 7: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

An overview of market performance – is there risk?

NASDAQ Composite IndexNovember 1984-October 2002

200700120017002200270032003700420047005200

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Page 8: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

An overview of market performance – is there risk?

Monthly % Change in NASDAQ Composite Index

October 1984 to October 2002

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Page 9: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

An overview of market performance – is there risk?

S&P/TSX Composite IndexApril 1984 - October 2002

20003000400050006000700080009000100001100012000

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Page 10: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

An overview of market performance – is there risk?

Monthly % Changes of S&P/TSX Composite Index April 1984-October 2002

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Page 11: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Measuring Performance: Returns

Dollar return (over one period):= Dividends + End of Period Price – Beginning of Period Price

Percentage return (over one period):=Dollar return/Beginning of Period Price=(Dividends + End of Period Price)/Beginning of Period Price -1

Examples: calculate both $ and % returns1. P0=$50, Div1=$2, P1=$55.50

2. P0=$20, Div1=$0.25, P1=$12.75

3. P0 = $30, Div1=$1, Capital Gain=$5

4. P0 = $130, Div1=$0, Capital Loss=$128

Page 12: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Holding Period Returns Let Rt be the observed

return earned in year t, then the holding period return over a T-period time frame is as follows:

The average compound rate of return or geometric average rate of return (GAR) just converts the HPR to an equivalent effective annual rate:

T

1ttT to 1 R1HPR1

T

1T

1ttT

1

T to 1T to1 )R(1HPR1GAR1

Page 13: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Mean returns The mean return is the

arithmetic average rate of return and is calculated as follows: T

RR return Mean

T

1tt

Page 14: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

The risk premium Definition: the risk premium is the return on

a risky security minus the return on a risk-free security (often T-bills are used as the risk-free security) Another name for a security’s risk premium is

the excess return of the risky security. The market risk premium is the return on

the market (as a whole) minus the risk-free rate of return.

We may talk about the past observed risk premium, the average risk premium, or the expected risk premium.

Page 15: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Risk Measures Studies of stock returns indicate they are

approximately normally distributed. Two statistics describe a normal distribution, the mean and the standard deviation (which is the square root of the variance). The standard deviation shows how spread out is the distribution.

For stock returns, a more spread out distribution means there is a higher probability of returns being farther away from the mean (or expected return).

For our estimate of the expected return, we can use the mean of returns from a sample of stock returns.

For our estimate of the risk, we can use the standard deviation or variance calculated from a sample of stock returns.

Page 16: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Sample standard deviation and variance

Sample variance is a measure of the squared deviations from the mean and is calculated as follows:

Sample standard deviation is just the square root of the sample variance:

VarSDs

R-R1T

1Vars

T

1t

2

t2

and

Page 17: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

How to interpret the standard deviation as a measure of risk

Given a normal distribution of stock returns … there is about a 68.26% probability that the

actual return will be within 1 standard deviation of the mean.

there is about a 95.44% probability that the actual return will be within 2 standard deviations of the mean.

There is about a 99.74% probability that the actual return will be within 3 standard deviations of the mean.

Page 18: Risk and Return – Introduction For 9.220, Term 1, 2002/03 02_Lecture12.ppt Student Version.

Summary and conclusions We can easily calculate $, %, holding

period, geometric average, and mean returns from a sample of returns data.

We can also do the same for a security’s risk premium.

The mean and standard deviation calculated from sample returns data are often used as estimates of expected returns and the risk measure for a security or for the market as a whole.