Introduction to Empirical Finance

Instructor: Eric Ghysels

Meets McColl Buidling Room 4731 Mondays 5:00 - 8:00

Course Description

This course will cover a selected list of current empirical research topics in finance and related econometric methods. We start with a brief review of elementary asset pricing theory. Next we discuss several special cases such as the CAPM, the ICAPM, the APT and discuss GMM estimation of generic asset pricing models as well as specific cases. We also cover microstructure theory and address empirical issues in the area. The course concludes with selected topics which vary from year to year.

Prerequisites

Prerequisites are: Econ 271, 272. Knowledge of the material in Econ 274 (Time Series) is beneficial.

Grading


Students taking the course for credit will be required to do the homeworks, accounting for 70% of the grade and take the final exam counting for the remaining 30%. The homeworks will consist of  replicating, updating and possibly extending major results contained in the following articles:

1. Fama, Eugene F. and James D. MacBeth, 1973, "Risk, Return, And Equilibrium: Empirical Tests," Journal of Political Economy, 71, 607-636.

2. Fama, Eugene F. and Kenneth R. French, 1992, "The Cross-Section Of Expected Stock Returns," Journal of Finance, 47, 427-466.

3. Hansen, L.P. and K.J. Singleton, 1982, Generalized instrumental variables estimation of nonlinear rational expectations models Econometrica 50, 1269-1286 [Erratum Vol 52 267-268].

4. Hansen, L. and R. Jagannathan, 1991, Implications of security market data for models of dynamic economies Journal of Political Economy 99, 225-262.

5. French, Kenneth R., William Schwert, and Robert F. Stambaugh, 1987, Expected stock returns and volatility, Journal of Financial Economics 19, 3–29.

6. Vasicek, O., 1977, "An equilibrium characterisation of the term structure," Journal of Financial Economics 5, 177-188.



will consist of replicating and extending results from several important papers related to the material taught in the course

Material from two texbooks will be used thoughout the course:

[CLM} John Y. Campbell, Andrew W. Lo and A. Craig MacKinlay, The Econometrics of Financial Markets, Princeton University Press, 1997.

[AP} John Cochrane, Asset Pricing, Princeton University Press, 2001.
 

In addition to the textbooks we will also assign journal articles (most downloadable from JSTOR and/or UNC e-journal links). We will not have time to explicitly cover all of the papers on this reading list in class, although we will cover many of them. Nevertheless, students are encouraged to read the papers before class and should have a working knowledge of all of the readings on the list below.

Tentative Schedule



0. A look at some stylized facts: historical evidence of finanical asset returns

    0.1 Historical facts

    0.2 The Declining U.S. Equity Premium, Jagannathan et al. Federal Reserve Bank of Minneapolis Quarterly Review


I. Introduction and Background: Consumption-based Model, Discount Factor


    I.1 Textbook reading material

        i. [AP] preface, Chapter 1, Chapter 2, consumption-based model
        ii. [AP] Chapter 4, discount factor

    I. 2. Links to lecture notes:
               
       Lecture 1: Asset Pricing Theory - A brief Review

       Lecture 2: Hansen-Richard and the Stochastic Discount Factor


       I.3 Additional papers

Hansen, L. P. and S. F Richard (1987) The role of conditioning information in deducing testable restricions implied by dynamic asset pricing models. Econometrica, 55:587-613.

Jagannathan, R., and Z. Wang (1996) The Conditional CAPM and the Cross-Section of Expected Returns,Journal of Finance, 51, 3-54.

II. Econometric Tool: GMM


    II.1 Textbook reading material

Practrical Help


I. Students may use whatever software that suits them best. In case they decide to use Matlab, useful links are:

Mike Cliff's GMM Matlab code

<>II. Regarding data downloads:

Students taking the class for credit can download data by creating a WRDS account. Here is the process.

Go to http://wrds.wharton.upenn.edu/wrdsauth/account_req.shtml
Use the pull down menu to select PhD as the type of account
Use the pull down menu to select University of North Carolina at Chapel Hill as the School
Then fill in the rest of the form as appropriate.
 
When you have finished filling out the form click on submit request. It will take some time to approve the account. Once this is done
and e-mail with  instructions will be sent  and the student and then the student will need to SET their own password.



References



Campbell, J. Y., and J. H. Cochrane (1999): ÕBy Force of Habit: A Consumption-
Based Explanation of Aggregate Stock Market Behavior,Ô Journal of Political Economy,
107, 205Û251.
(2000): ÕExplaining the Poor Performance of Consumption-Based Asset Pricing
Models,Ô Journal of Finance, 55(6), 2863Û2878.
Campbell, J. Y., and R. J. Shiller (1988): ÕThe Dividend-Price Ratio and Expectations
of Future Dividends and Discount Factors,Ô Review of Financial Studies, 1, 195Û227.
(2001): ÕValuation Ratios and the Long-Run Stock Market Outlook: An Update,Ô
NBER working paper No. 8221.
Campbell, J. Y., and T. Voulteenaho (2002): ÕGood Beta, Bad Beta,Ô Unpublished
paper, Harvard University.
6
Campbell, J. Y., and M. Yogo (2002): ÕEácient Tests of Stock Return Predictability,Ô
Unpublished paper, Harvard University.
Chen, N.-F., R. Roll, and S. A. Ross (1986): ÕEconomic Forces and the Stock Market,Ô
Journal of Business, 59(3), 383Û403.
Cochrane, J. H. (1991): ÕVolatility Tests and Eácient Markets: A Review Essay,Ô Journal
of Monetary Economics, 127, 463Û485.
(1994): ÕPermanent and Transitory Components of GDP and Stock Prices,Ô Quar-
terly Journal of Economics, 109, 241Û265.
(1996): ÕA Cross-Sectional Test of an Investment-Base Asset Pricing Model,Ô
Journal of Political Economy, 104, 572Û621.
De Bondt, W. F.-M., and R. Thaler (1985): ÕDoes the Stock Market Overreact?,Ô
Journal of Finance, 40(3), 793Û805.
Fama, E. F. (1991): ÕEácient Markets II,Ô Journal of Finance, 46(5), 1575Û1618.
Fama, E. F., and K. R. French (1988a): ÕDividend Yields and Expected Stock Returns,Ô
Journal of Financial Economics, 22, 3Û27.
(1988b): ÕPermanent and Temporary Components of Stock Prices,Ô Journal of
Political Economy, 96(2), 246Û273.
(1989): ÕBusiness Conditions and Expected Returns on Stocks and Bonds,Ô Journal
of Financial Economics, 25, 23Û49.
(1992): ÕThe Cross-Section of Expected Returns,Ô Journal of Finance, 47, 427Û465.
(1993): ÕCommon Risk Factors in the Returns on Stocks and Bonds,Ô Journal of
Financial Economics, 33, 3Û56.
(1996): ÕMultifactor Explanations of Asset Pricing Anomalies,Ô Journal of Finance,
51, 55Û84.
Fama, E. F., and J. MacBeth (1973): ÕRisk, Return and Equilibrium: Empirical Tests,Ô
Journal of Political Economy, 81, 607Û636.
Gibbons, M. R., S. A. Ross, and J. Shanken (1989): ÕA test of the Eáciency of a
Given Portfolio,Ô Econometrica, 57(5), 1121Û1152.
7
Gonzalo, J., and S. Ng (2001): ÕA Systematic Framework for Analyzing the Dynamic
EÞects of Permanent and Transitory Shocks,Ô Journal of Economic Dynamics and Control,
25(10), 1527Û1546.
Hansen, L. P., and R. Jagannathan (1991): ÕRestrictions on Intertemporal Marginal
Rates of Substitution Implied by Asset Returns,Ô Journal of Political Economy, 99, 225Û
262.
Hansen, L. P., and K. Singleton (1982): ÕGeneralized Instrumental Variables Estima-
tion of Nonlinear Rational Expectations Models,Ô Econometrica, 50(5), 1269Û86.
Hodrick, R. (1992): ÕDividend Yields and Expected Stock Returns: Alternative Proce-
dures for Inference and Measurement,Ô Review of Financial Studies, 5, 357Û386.
Inoue, A., and L. Kilian (2002): ÕIn-Sample or Out-of-Sample Tests of Predictability:
Which One Should We Use?,Ô Unpublished paper, Department of Economics, University
of Michigan.
Jagannathan, R., and Z. Wang (1996): ÕThe Conditional CAPM and the Cross-Section
of Expected Returns,Ô Journal of Finance, 51, 3Û54.
Jegadeesh, N., and S. Titman (1993): ÕReturns to Buying Winners and Losers: Impli-
cations for Stock Market Eáency,Ô Journal of Finance, 48(1), 65Û91.
LeRoy, S., and R. Porter (1981): ÕThe Present Value Relation: Tests Based on Variance
Bounds,Ô Econometrica, 49, 555Û557.
Lettau, M., and S. C. Ludvigson (2001a): ÕConsumption, Aggregate Wealth and Ex-
pected Stock Returns,Ô Journal of Finance, 56(3), 815Û849.
(2001b): ÕMeasuring and Modeling Variation in the Risk-Return TradeoÞ,Ô Un-
published paper, New York University.
(2001c): ÕResurrecting the (C)CAPM: A Cross-Sectional Test When Risk Premia
are Time-Varying,Ô Journal of Political Economy, 109(6), 1238Û1287.
(2002a): ÕExpected Returns and Expected Dividend Growth,Ô Unpublished Paper,
New York University.
(2002b): ÕUnderstanding Trend and Cycle in Asset Values,Ô Unpublished Paper,
New York University.
8
Lewellen, J. W. (2001): ÕPredicting Returns With Financial Ratios,Ô Unpublished paper,
MIT Sloan School of Management.
Mehra, R., and E. Prescott (1985): ÕThe Equity Premium Puzzle,Ô Journal of Mone-
tary Economics, 15, 145Û161.
Merton, R. C. (1973): ÕAn Intertemporal Capital Asset Pricing Model,Ô Econometrica,
41, 867Û887.
Piazzesi, M., M. Schneider, and S. Tuzel (2002): ÕHousing, Consumption, and Asset
Pricing,Ô Unpublished paper, UCLA.
Santos, J., and P. Veronesi (2000): ÕLabor Income and Predictable Stock Returns,Ô
Unpublished paper, University of Chicago.
Schwert, G. W. (1989): ÕWhy Does Stock Market Volatility Change over Time,Ô Journal
of Finance, 44(5), 1115Û53.
Shanken, J. (1992): ÕOn the Estimation of Beta-Pricing Models,Ô Review of Financial
Studies, 5, 1Û34.
Shiller, R. J. (1981): ÕDo Stock Prices Move Too Much to be Justißed by Subsequent
Changes in Dividends?,Ô American Economic Review, 71, 421Û436.
Stambaugh, R. F. (1999): ÕPredictive Regressions,Ô Journal of Financial Economics, 54,
375Û421.
Valkanov, R. (2001): ÕLong-Horizon Regressions: Theoretical Results and Applications,Ô
Journal of Financial Economics, forthcoming.
9

Links to lecture notes:

1.  Lecture 1: Asset Pricing Theory - A brief Review

2.  Lecture 2: Hansen-Richard and the Stochastic Discount Factor

3.  Lecture 3: Introduction to GMM

4.  Lecture 4: More on GMM

5.  Lecture 5: HJ Distances

   Material pertaining to the remaining lectures will be distributed in class

 Homework 3

Data for Homework 3