GET 2005/06: mutual funds
·
Data on PIFs (to be
edited and updated):
o
Daily data on NAV and TNA in 1999-2003, 2004, and 2005
o
Fund characteristics, as of end 2003
General readings
Required:
·
Haugen,
Modern Investment Theory, ch. 11-12. Basics of performance evaluation.
·
Grinblatt
and Titman, Performance evaluation (Ch. 19 in the Handbook on Finance). Review
of the return-based and characteristic-based approaches to performance
evaluation.
·
Goriaev, 2002, On
the behavior of mutual fund investors and managers, Ph.D. Dissertation,
Chapters 1-2. Basic information about the structure of the mutual fund
industry and introduction to the literature on mutual funds.
·
Gruber, 1996, Another puzzle: The
growth in actively managed mutual funds, Journal
of Finance 51, 783-810. Broad view on several research issues in the literature on mutual funds,
including performance persistence, performance chasing (flow-performance
relationship), and smart money effect (predictive power of flows). The main
question is why active mutual funds grow so fast despite unimpressive average
performance.
Additional:
·
Wermers,
2000, Mutual fund performance:
An empirical decomposition into stock-picking talent, style, transactions
costs, and expenses, Journal of Finance 55,
1655-1695. Portfolio-based approach to mutual fund performance measurement.
·
DeRoon and Nijman,
2001, Testing for mean-variance spanning: A survey, Journal of Empirical Finance 8/2,
111-156, a survey of mean-variance spanning tests.
·
Kiselev, Kapitan, and Kokorev, A
note on Russian PIFs.
·
Russian federal law on PIFs.
Fund performance and ratings
·
Ferson and Schadt, 1996,
Measuring fund strategy and performance in changing economic conditions, Journal of Finance 51, 425-461. Conditional approach to
performance measurement.
·
Mamaysky,
Spiegel, and Zhang, 2005, Improved Forecasting of Mutual Fund Alphas and Betas.
·
Stutzer,
2005, Mutual Fund Ratings: What is the Risk in Risk-Adjusted Fund Returns?
Performance persistence
·
Brown and
Goetzmann, 1995, Performance persistence, Journal
of Finance 50, 679-698. Analysis of performance persistence,
controlling for the cross-correlation and survivor bias.
·
Carhart, 1997, On persistence in
mutual fund performance, Journal of
Finance 52, 57-82. Classic analysis of mutual fund performance
persistence on the basis of a four-factor model.
Determinants of mutual fund flows
·
Sirri
and Tufano, 1998, Costly search and mutual fund flows, Journal of Finance 53, 1589-1622.
·
Chevalier
and Ellison, 1997, Risk Taking by Mutual Funds as a Response to Incentives, Journal of Political Economy 105, 1167-1200.
Estimating the flow-performance relationship using the semi-parametric
methodology.
Measuring timing ability
·
Ferson and Schadt, 1996,
Measuring fund strategy and performance in changing economic conditions, Journal of Finance 51, 425-461. Conditional approach to
performance measurement (including market timing measures).
Style analysis
·
Brown and Goetzmann,
1997, Mutual fund styles, Journal of
Financial Economics 43, 373-399.
·
TerHorst,
2004, Evaluating style analysis, Journal
of Empirical Finance 11, 29-53.
Bayesian approach to performance
evaluation
Aggregate fund flows and
sentiment factor
Risk-taking behavior
·
Chevalier
and Ellison, 1997, Risk Taking by Mutual Funds as a Response to Incentives, Journal of Political Economy 105,
1167-1200. Estimating the flow-performance relationship, resulting
risk-taking incentives for mutual funds, and response to these incentives by
fund managers.
Master theses
·
Barinov,
2003, Measuring performance of Russian equity funds.
·
Kobelev,
2004, Performance evaluation of Russian mutual funds.
·
Chan