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Testing Conditional Factor ModelsAndrew AngColumbia Business School - Finance and Economics; National Bureau of Economic Research (NBER) Dennis KristensenUniversity College London; University of Aarhus - CREATES; Cemmap (Centre for Microdata Methods and Practice) November 2011 NBER Working Paper No. w17561 Abstract: Using nonparametric techniques, we develop a methodology for estimating conditional alphas and betas and long-run alphas and betas, which are the averages of conditional alphas and betas, respectively, across time. The tests can be performed for a single asset or jointly across portfolios. The traditional Gibbons, Ross, and Shanken (1989) test arises as a special case of no time variation in the alphas and factor loadings and homoskedasticity. As applications of the methodology, we estimate conditional CAPM and multifactor models on book-to-market and momentum decile portfolios. We reject the null that long-run alphas are equal to zero even though there is substantial variation in the conditional factor loadings of these portfolios. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
Number of Pages in PDF File: 59 working papers seriesDate posted: November 4, 2011Suggested CitationContact Information
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