Econometric Analysis of Financial Data (Financial Econometrics)
Professor Zongwu Cai
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Preliminary Materials
Review of Probability (Lecture Notes from E. Zivot
http://faculty.washington.edu/ezivot/econ483/probrev.pdf )
Review of Statistics
Linear Algebra and Matrix Methods in Econometrics .
Syllabus for this course (pdf format)
Information on how to install R and Ox (pdf format)
R-Manual (ABC) (pdf format, 109 pages)
RMetrics (simple descriptions of functions in R for financial engineering and computational finance) (pdf format, 4 pages)
tseries (Detailed descriptions of functions in R for analysis of financial time series data) (pdf format, 54 pages)
An Important Link
A list of packages useful for Empirical Finance.
Some simple examples of using R (pdf format) [This is
a lab assignment. Please download this file and download R and install it to your computer
and then follow the commands in this file to learn how to use R]
THE LECTURE NOTES
Reading Materials I Lecture Notes on "Advanced
Topics in Analysis of Economic and Financial Data Using R and SAS"
Reading Materials II (Lecture Materials for
Model Selection and Regression with Correleted Errors)
Reading Materials III (Lecture Materials for HAC)
Reading Materials IV (Lecture Materials for GMM from
Chapter 11 of Cochrane (2001))
Reading Materials V (Chapter 7 of Taylor (2005))
Reading Materials VI (the paper by Hansen (2001) on
GMM).
Reading Materials VII (the paper by
Jagannathan, Skoulakis and Wang (2002) on GMM in finance).
Reading Materials VIII Chapter 17 of Hamilton (1994).
Topic 1
A motivation example
Data
R-Code
Basic Concepts
Univariate Linear Models
R-code for the programming in Chapter 2.
R-code for the programming in Chapter 3.
Other R-codes: 1-23.r.
Other R-codes: 2-13.r.
Other R-codes: 2-20.r.
Other R-codes: 4-9.r.
Other R-codes: 4-12.r.
Cai, Z. and Y. Hong (2009). Some Recent Developments in Nonparametric Finance.
Forthcoming in Advances in Econometrics
Cai, Z. and Q. Li (2009). Some Recent Developments in Nonparametric Econometrics.
Forthcoming in Advances in Econometrics
Cai, Z., X. Chen, Y. Fan and X. Wang (2009). Selection of Copulas in Risk Management.
Working Paper
Topic 2
Predictability of Asset Returns
Fama, F.F. (1991). Efficient Capital Markets: II.
The Journal of Finance 46(5) , p.1575 - 1617
Kuan, C.-M. and W.-M. Lee (2004). A new test of the martingale difference hypothesis. Studies in Nonlinear Dynamics & Econometrics 8, Issue 4, Article 1.
Granger, C.W.J. (2005). The past and future of empirical finance: some personal
comments. Journal of Econometrics, 129 , p.35-40.
Campbell, J. and M. Yogo (2006). Efficient tests of stock return predictability.
Journal of Financial Economics, 81 , p.27-60.
Amihud, Y. and C. Hurvich (2004). Predictive regressions: A reduced-bias estimation
method. Journal of Financial and Quantitative Analysis,
39 , p.813-841.
Paye, B.S. and A. Timmermann (2006). Instability of return prediction models.
Journal of Empirical Finance, 13 , p. 274-315.
R-code for the programming in Chapter 4.
Download the data file SP-A.txt
Topic 3
Market (Single Index) Model
Akdeniz, L., A. Altay-Salih and M. Caner (2003). Time-varying betas help in asset pricing: The threshold CAPM.
Studies in Nonlinear Dynamics and Econometrics, No.4, Article 1 .
Cai, Z. (2007). Trending time varying coefficient time series models with serially correlated errors Journal of Econometrics 137, 163-188
Cui, H., X. He and L. Zhu (2002). On regression estimators with de-noised variables. Statistica Sinica, 12, 1191-1205
You, J. and J. Jiang (2005). Inferences for varying-coefficient partially linear
models with serially correlated errors. In Advances in Statistical Modeling and Inference: Essays in Honor of Kjell A. Doksum, Ed. Vijay Nair. Series in Biostatistics, 3, 175-195.
The Event Study Analysis
Topic 4
An Introduction to Portfolio Theory
Bevan, A. and K. Winkelmann, Goldman Sachs, June 1998,
Using the Black-Litterman Global Asset Allocation Model:
Three Years of Practical Experience .
Campbell, J.Y. (2000). Asset Pricing at the Millennium.
The
Journal of Finance 55(4), p. 1515 - 1567
He, G. and R. Litterman, Goldman Sachs, December 1999,
The Intuition Behind the Black-Litterman Model Portfolios
Idzorek, T. M.,
A step-by-step guide to the Black-Litterman model
Ledoit, O. and M. Wolf (2003). Improved estimation of the
covariance matrix of stock returns with an application to
portfolio selection.
Journal of Empirical Finance 10(5), 603-621
Ledoit, O. and M. Wolf (2004). A well-conditioned estimator for
large-dimensional covariance matrices.
Journal of Multivariate Analysis 88, 365-411
Fan, J., Y. Fan and J. Lv (2006). High Dimensional Covariance Matrix Estimation
Using a Factor Model.
Working Paper
Data library of Ken French
Data File "34stocks.csv"
Topic 5
An Introduction to CAPM
Fama, E.F. and K.R. French (1992). The cross-section of expected stock returns.
The Journal of Finance 47(2), 427- 465
Kothari, S.P., J. Shanken and R.G. Sloan (1995). Another look at the cross-section of expected stock returns.
The Journal of Finance 50(1), 185 - 224
Liew, J. and M. Vassalou (2000). Can book-to-market, size and
momentum be risk factors that predict economic growth?
Journal of Financial Economics 57, 221-245
Cai, Z. and C.M. Kuan (2005). Time-varying betas models: A nonparametric analysis.
Working Paper (from Dr. Cai)
Cai, Z. (2007). Trending time varying coefficient time series models with serially correlated errors Journal of Econometrics 137, 163-188
Topic 6
Multi-factor Pricing Models
Topic 7
Term Structure Models
Backus, D., Foresi, S., and C. Telmer (2000). Discrete-time models of bond pricing.
NBER Working paper 6736. In Advanced Fix Income Valuation
Tools (N. Jegadeesh and B. Tuckman, eds.) .
Chan, K., G. Karolyi, F. Longstaff and A. Sanders (1992). An empirical comparison of alternative models of the short-term rate.
Journal of Finance 47, 1209 - 1227.
Cai, Z. and Y. Hong (2003) Nonparametric methods in continuous-time finance: A selective review. In Recent Advances and Trends in Nonparametric Statistics (M.G. Akritas and D.M. Politis, eds.), 283-302 Download from here .
Topic 8
ARCH/GARCH models
Stochastic Volatility Models (State Space Models and the Kalman Filter)
Application to VaR
Maximum Likelihood Estimation
Harvey, A., E. Ruiz and N. Shephard (1994). Multivariate stochastic variance models.
Review of Economic Studies 61, 247-264
Andersen, T.G., T. Bollerslev, P.F. Christoffersen and F. X. Diebold (2005).
Volatility and correlation forecasting . Handbook of Economic Forecasting.
Engle, R. (2001). GARCH101: the use of ARCH/GARCH models in applied Econometrics.
Journal of Economic Perspectives 15(4), 157-168
Engle, R. and A.J. Patton (2001). What good is a volatility model.
Quantitative Finance 1, 237 - 245.
Taylor, J.W. (2004). Volatility forecasting with smooth transition exponential smoothing.
International Journal of Forecasting 20, 273-286.
Topic 9
Inferences from Option Prices
Topic 10
Fixed-Income Securities
Topic 11
Style Analysis (Sharpe 1992)
The structure of multi-factor equity risk models
Portfolio performance evaluation