Performance Evaluation with Stochastic Discount Factors
50 Pages Posted: 14 Feb 2002 Last revised: 4 Apr 2022
There are 3 versions of this paper
Performance Evaluation with Stochastic Discount Factors
Performance Evaluation with Stochastic Discount Factors
Date Written: February 2002
Abstract
We study the use of stochastic discount factor (SDF) models in evaluating the investment performance of portfolio managers. By constructing artificial mutual funds with known levels of investment ability, we evaluate a large set of SDF models. We find that the measures of performance are not highly sensitive to the SDF model, and that most of the models have a mild negative bias when performance is neutral. We use the models to evaluate a sample of U.S. equity mutual funds. Adjusting for the observed bias, we find that the average mutual fund has enough ability to cover its transactions costs. Extreme funds are more likely to have good rather than poor risk adjusted performance. Our analysis also reveals a number of implementation issues relevant to other applications of SDF models.
Suggested Citation: Suggested Citation
Do you have negative results from your research you’d like to share?
Recommended Papers
-
Risk Taking by Mutual Funds as a Response to Incentives
By Judith A. Chevalier and Glenn Ellison
-
Mutual Fund Flows and Performance in Rational Markets
By Richard C. Green and Jonathan Berk
-
Mutual Fund Flows and Performance in Rational Markets
By Richard C. Green and Jonathan Berk
-
Career Concerns of Mutual Fund Managers
By Judith A. Chevalier and Glenn Ellison
-
Career Concerns of Mutual Fund Managers
By Judith A. Chevalier and Glenn Ellison
-
The Persistence of Risk-Adjusted Mutual Fund Performance
By Edwin J. Elton, Martin J. Gruber, ...
-
By Judith A. Chevalier and Glenn Ellison
-
Hot Hands in Mutual Funds: the Persistence of Performance, 1974-87
By Darryll Hendricks, Jayendu Patel, ...
-
By Narasimhan Jegadeesh, Hsiu-lang Chen, ...