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The Cross-Section of Volatility and Expected Returns: Then and Now

Author

Listed:
  • Andrew Detzel
  • Jefferson Duarte
  • Avraham Kamara
  • Stephan Siegel
  • Celine Sun

Abstract

We successfully replicate the main results of Ang et al. (2006): Aggregate-volatility risk and idiosyncratic volatility (IV) are each priced in the cross-section of stock returns from 1963 to 2000. We also examine the pricing of volatility outside the original time period and under more recent asset-pricing models. With the exception of NASDAQ stocks, aggregate-volatility risk continues to be priced in the years following the Ang et al. (2006) sample period, and none of the more recent asset-pricing models we consider consistently accounts for the pricing of aggregate-volatility risk. The difference in abnormal returns between stocks with high and low IV decreases but remains significant out of sample. More recent asset-pricing models do not resolve the IV anomaly for the Ang et al. (2006) sample, but the four-factor model of Stambaugh and Yuan (2017) and the six-factor model of Barillas and Shanken (2018) resolve the anomaly out of sample and over the extended period of 1967 to 2016. Finally, both models eliminate the arbitrage asymmetry that Stambaugh et al. (2015) propose as an explanation of the IV anomaly.

Suggested Citation

  • Andrew Detzel & Jefferson Duarte & Avraham Kamara & Stephan Siegel & Celine Sun, 2023. "The Cross-Section of Volatility and Expected Returns: Then and Now," Critical Finance Review, now publishers, vol. 12(1-4), pages 9-56, August.
  • Handle: RePEc:now:jnlcfr:104.00000125
    DOI: 10.1561/104.00000125
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    More about this item

    Keywords

    Factor models; Trading costs; Mispricing;
    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
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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