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Performance Evaluation with Stochastic Discount Factors Author info | Abstract | Publisher info | Download info | Related research | Statistics Heber Farnsworth
Wayne E. Ferson
David Jackson
Steven Todd
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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.
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number
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Date of creation: Feb 2002Date of revision:
Handle: RePEc:nbr:nberwo:8791Note: APContact details of provider: Postal: National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A. Phone: 617-868-3900 Email: Web page: http://www.nber.org More information through EDIRC
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Find related papers by JEL classification: G12 - Financial Economics - - General Financial Markets - - - Asset Pricing G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
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