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Tail Risk Premia and Return Predictability

Author

Listed:
  • Tim Bollerslev

    (Duke University, NBER and CREATES)

  • Viktor Todorov

    (Northwestern University and CREATES)

  • Lai Xu

    (Duke University)

Abstract

The variance risk premium, defined as the difference between actual and risk-neutralized expectations of the forward aggregate market variation, helps predict future market returns. Relying on new essentially model-free estimation procedure, we show that much of this predictability may be attributed to time variation in the shape of the tails and compensation demanded by investors for bearing jump tail risk. Our results are consistent with the idea that the temporal variation in the separate diffusive and jump risk components of the variance risk premium may be associated with notions of time-varying economic uncertainty and changes in risk aversion, or market fears, respectively.

Suggested Citation

  • Tim Bollerslev & Viktor Todorov & Lai Xu, 2014. "Tail Risk Premia and Return Predictability," CREATES Research Papers 2014-49, Department of Economics and Business Economics, Aarhus University.
  • Handle: RePEc:aah:create:2014-49
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    More about this item

    Keywords

    Variance risk premium; time-varying jump tails; market sentiment and fears; return predictability.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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