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Learning about Beta: time-varying factor loadings, expected returns and the conditional CAPM Author info | Abstract | Publisher info | Download info | Related research | Statistics Franzoni, Francesco ()
Adrian, Tobias
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This paper explores the theoretical and empirical implications of time-varying and unobservable beta. Investors infer factor loadings from the history of returns via the Kalman filter. Due to learning, the history of beta matters. Even though the conditional CAPM holds, standard OLS tests can reject the model if the evolution of investor's expectations is not properly modelled. The authors use their methodology to explain returns on the twenty-five size and book-to-market sorted portfolios. Their learning version of the conditional CAPM produces pricing errors that are significantly smaller than standard conditional or unconditional CAPM and the model is not rejected by the data.
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Paper provided by Groupe HEC in its series Les Cahiers de Recherche with number
828.
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Length: 42 pages
Date of creation: 20 Sep 2005Date of revision:
Handle: RePEc:ebg:heccah:0828Contact details of provider: Postal: HEC Business School, 78351 Jouy-en-Josas cedex, France Web page: http://www.hec.fr/hec/eng/index.html More information through EDIRC
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Keywords: Capital Asset Pricing Model CAPM investments Find related papers by JEL classification: C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Hypothesis Testing C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
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