Introduction to Financial Time Series From Ruey. S. Tsay’s slides.
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Transcript of Introduction to Financial Time Series From Ruey. S. Tsay’s slides.
Introduction to Financial Time Series
From Ruey. S. Tsay’s slides
What is Financial Time Series Analysis Theory and practice of asset valuation over
time. Different from other T.S. analysis?
Close, but with some added uncertainty.
For example, FTS must deal with the ever-changing business & economic environment and the fact that volatility is not directly observed.
Examples of financial time series Daily log returns of GE stock Quarterly earnings of Johnson & Johnson
Seasonal time series useful in earning forecasts pricing weather related derivatives (e.g. energy) modeling intraday behavior of asset returns
US monthly interest rates Relations between the two series? Term structure of interest rates
Exchange rate between US Dollar vs Japanese Yen Fixed income, hedging, carry trade
Size of insurance claims Values of fire insurance claims from 1972 to 1992.
High-frequency financial data: Tick-by-tick data of Boeing stock: December 5, 2005.
Example of FTS
Example of FTS (Cont.)
Objective of the Course
Provide some basic knowledge of financial time series data.
Introduce some statistical tools & econometric models useful for analyzing these series.
Gain empirical experience in analyzing FTS.
Design your own method to predict future FTS.
Asset Returns
From Ruey. S. Tsay’s slides
Asset Returns
Asset Return Example
Asset Returns
Compound Assert Returns
Compound Assert Returns
Compound Assert Returns
Asset Returns
For multi-period returns, we have
Captial Asset Price Model (CAPM): Consider the joint distribution of N return at a single time
index t, Or, study the distribution We will focus on the dynamic structure of individual
asset returns, in other words, we study the distribution of How to describe the joint distribution of
11 ...)( ktttt rrrkr
},...,{ 1 Ntt RR
},...,{ 1 iTi RRTtitR 1}{
Asset Returns
For discrete case:
For continuous case:
parameter of vector a is where
),...,|()...|()(
as );,...,(
11,121
1
θ
RRRFRRFRF
RRF
iTiiTiii
iTi
parameter of vector a is andfunction density is where
),...,|()...|()(
as );,...,(
11,121
1
θf
RRRfRRfRf
RRf
iTiiTiii
iTi
Marginal Distribution of Asset Returnd When asset returns have weak empirical serial
correlation, their marginal distributions are close to their conditional distributions. Thus the question is how to estimate marginal distributions.
Several statistical distributions have been proposed for marginal distribution of asset returns: Normal distribution Lognormal distribution Stable distribution Scale-Mixture Normal distribution
Linear Time Series Analysis
From Ruey. S. Tsay’s slides
Linear Time Series (TS) Models
Basic Concepts
Basic Concepts (Cont.)
Basic Concepts (Cont.)
Basic Concepts (Cont.)
Univariate TS Analysis Purpose:
Example of Linear Time Series
Linear Financial Time Series
AR Model
AR Model (Cont.)
AR Model (Cont.)
AR Model (Cont.)
AR(2) Model
Building an AR Model
Moving-Average (MA) Model
MA(1) Model (Cont.)
MA(2) Model
Building MA Model
Mixed ARMA Model
Mixed ARMA Model (Cont.)
Building an ARMA (1, 1) Model
Three Model Comparisons:
Seasonal Time Series
Examples of Seasonal Time Series (1)
Figure 1: Time plot of electricity demand of an industrial sector: 15th day of each month from1972 to 1993.
Example of Seasonal Time Series (2)
Example of Seasonal Time Series (3)
Figure 3: Time plot of quarterly logged earnings of Johnson and Johnson: 1960-1980
Seasonal Difference Model