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Variance Risk Premia on Stocks and Bonds

Author

Listed:
  • Petar Sabtchevsky

    (London School of Economics)

  • Paul Whelan

    (Copenhagen Business School)

  • Andrea Vedolin

    (London School of Economics)

  • Philippe Mueller

    (London School of Economics)

Abstract

We study equity (EVRP) and Treasury variance risk premia (TVRP) jointly and document a number of findings: First, relative to their volatility, TVRP are comparable in magnitude to EVRP. Second, while there is mild positive co-movement between EVRP and TVRP unconditionally, time series estimates of correlation display distinct spikes in both directions and have been notably volatile since the financial crisis. Third $(i)$ short maturity TVRP predict excess returns on short maturity bonds; $(ii)$ long maturity TVRP and EVRP predict excess returns on long maturity bonds; and $(iii)$ while EVRP predict equity returns for horizons up to 6-months, long maturity TVRP contain robust information for long run equity returns. Finally, exploiting the dynamics of real and nominal Treasuries we document that short maturity break-even rates are a power determinant of the joint dynamics of EVRP, TVRP and their co-movement. We argue this result is consistent with an economy in which derivative markets embed fears about deflation.

Suggested Citation

  • Petar Sabtchevsky & Paul Whelan & Andrea Vedolin & Philippe Mueller, 2017. "Variance Risk Premia on Stocks and Bonds," 2017 Meeting Papers 1161, Society for Economic Dynamics.
  • Handle: RePEc:red:sed017:1161
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    References listed on IDEAS

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    Cited by:

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    2. Torben G. Andersen & Nicola Fusari & Viktor Todorov, 2020. "The Pricing of Tail Risk and the Equity Premium: Evidence From International Option Markets," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(3), pages 662-678, July.
    3. Kita, Arben & Tortorice, Daniel L., 2021. "Same firm, two volatilities: How variance risk is priced in credit and equity markets," Journal of Corporate Finance, Elsevier, vol. 69(C).

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