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Expected Correlation and Future Market Returns

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  • Buss, Adrian
  • Vilkov, Grigory
  • ,

Abstract

We document that information about the comovement of individual stocks, jointly extracted from index options and individual stock options, can be used to predict future market excess returns for horizons of up to 1 year, both in-sample and out-of-sample. The predictive power is incremental to that of risk measures exclusively based on the marginal distribution of the market, including (semi)variances and their risk premiums.~We attribute this predictability to the ability of expected correlation to capture expected variations in idiosyncratic risk and in the cross-sectional dispersion in systematic risk. A novel extension of the contemporaneous-beta approach significantly improves out-of-sample predictability.

Suggested Citation

  • Buss, Adrian & Vilkov, Grigory & ,, 2018. "Expected Correlation and Future Market Returns," CEPR Discussion Papers 12760, C.E.P.R. Discussion Papers.
  • Handle: RePEc:cpr:ceprdp:12760
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    3. Bevilacqua, Mattia & Tunaru, Radu, 2021. "The SKEW index: extracting what has been left," LSE Research Online Documents on Economics 108198, London School of Economics and Political Science, LSE Library.

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    More about this item

    Keywords

    Expected (implied) correlation; Correlation risk premium; Return predictability; Idiosyncratic risk; Option-implied information; Contemporaneous betas;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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