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How do alphas and betas move? Uncertainty, learning and time variation in risk loadings

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  • Carmine Trecroci

Abstract

I employ a parsimonious model with learning but without conditioning information to extract time-varying measures of market-risk sensitivities, pricing errors and pricing uncertainty. Parameters estimated for U.S. equity portfolios show significant fluctuations, along patterns that change across size and book-to-market categories of stocks. Time-varying betas display superior predictive accuracy for portfolio returns against constant and rolling-window OLS estimates. I also study the relationship of betas with business-cycle variables, finding that those of high BE/ME stocks move pro-cyclically, unlike those of low BE/ME stocks. Investment growth, rather than consumption, predicts the betas of high BE/ME and small-firm portfolios.

Suggested Citation

  • Carmine Trecroci, 2010. "How do alphas and betas move? Uncertainty, learning and time variation in risk loadings," Working Papers 1012, University of Brescia, Department of Economics.
  • Handle: RePEc:ubs:wpaper:1012
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    Cited by:

    1. Carmine Trecroci, 2012. "Uncertainty and the Dynamics of Multifactor Loadings and Pricing Errors," Economics Bulletin, AccessEcon, vol. 32(3), pages 2453-2463.
    2. Bua, Giovanna & Trecroci, Carmine, 2016. "International Equity Markets Interdependence: Bigger Shocks or Contagion in the 21st Century?," MPRA Paper 74771, University Library of Munich, Germany.
    3. Ciner, Cetin, 2015. "Time variation in systematic risk, returns and trading volume: Evidence from precious metals mining stocks," International Review of Financial Analysis, Elsevier, vol. 41(C), pages 277-283.

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