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Conditional Risk and Performance Evaluation: Volatility Timing, Overconditioning, and New Estimates of Momentum AlphasOliver BoguthArizona State University (ASU) - Finance Department Murray CarlsonUniversity of British Columbia - Sauder School of Business Adlai J. FisherUniversity of British Columbia - Sauder School of Business Mikhail SimutinUniversity of Toronto - Rotman School of Management November 1, 2011 Journal of Financial Economics (JFE), 102 (2), 363-389, November 2011. Abstract: Unconditional alphas are biased when conditional beta covaries with the market risk premium (“market-timing”) or volatility (“volatility-timing”). We demonstrate an additional bias (“overconditioning”) that can occur any time an empiricist estimates risk using information, such as a realized beta, that is not available to investors ex ante. Calibrating to U.S. equity returns, volatility-timing and overconditioning can plausibly impact alphas more than markettiming, which has been the focus of prior literature. To correct market- and volatility-timing biases without overconditioning, we show that incorporating realized betas into instrumental variables estimators is effective. Empirically, instrumentation reduces momentum alphas by 20-40%. Overconditioned alphas overstate performance by up to 2.5 times. We explain the sources of both the volatility-timing and overconditioning biases in momentum portfolios.
Number of Pages in PDF File: 54 Keywords: Overconditioning, Conditional CAPM, Performance Evaluation, Momentum JEL Classification: G12 Accepted Paper SeriesDate posted: July 4, 2007 ; Last revised: May 7, 2013Suggested CitationContact Information
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