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Multifactors risk loadings and abnormal returns under uncertainty and learning

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  • Carmine Trecroci

Abstract

This paper considers an environment where investors have limited knowledge of true systematic risks and therefore continuously re-estimate the forecasting model that they use to form expectations. Based on a parsimonious specification with learning and no conditioning information, I extract time-varying factor loadings, pricing errors, and a measure of pricing uncertainty for the Fama-French three-factor model. Estimated parameters display significant fluctuations over time, both short-run and long-term, along patterns that vary across industry portfolios. Besides being markedly variable across portfolios and over time, abnormal returns and risk loadings also display strong systematic correlations with market conditions and business-cycle developments. Overall, the estimates convey the idea that over the past two decades stocks have experienced a pervasive increase in the variability of their exposure to fundamental risks.

Suggested Citation

  • Carmine Trecroci, 2010. "Multifactors risk loadings and abnormal returns under uncertainty and learning," Working Papers 1011, University of Brescia, Department of Economics.
  • Handle: RePEc:ubs:wpaper:1011
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Carmine Trecroci, 2014. "How Do Alphas and Betas Move? Uncertainty, Learning and Time Variation in Risk Loadings," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 76(2), pages 257-278, April.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G31 - Financial Economics - - Corporate Finance and Governance - - - Capital Budgeting; Fixed Investment and Inventory Studies
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation

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