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Cited by 710

The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.

What Does the Individual Option Volatility Smirk Tell Us About Future Equity Returns?

Xing, Yuhang, Zhang, Xiaoyan, Zhao, Rui·2010·Journal of Financial and Quantitative Analysis

Abstract

The shape of the volatility smirk has significant cross-sectional predictive power for future equity returns. Stocks exhibiting the steepest smirks in their traded options underperform stocks with the least pronounced volatility smirks in their options by 10.9% per year on a risk-adjusted basis. This predictability persists for at least 6 months, and firms with the steepest volatility smirks are those experiencing the worst earnings shocks in the following quarter. The results are consistent with the notion that informed traders with negative news prefer to trade out-of-the-money put options, and that the equity market is slow in incorporating the information embedded in volatility smirks.

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Metadata

Authors
Xing, Y., Zhang, X., & Zhao, R.
Venue
Journal of Financial and Quantitative Analysis
Published
2010-03-31
Volume
45
Issue
3
Pages
641-662
ISSN
  • 0022-1090 (ISSN-L)
  • 1756-6916
OpenAlex
W3123326583
Cited by
710
References
28
FWCI
59.74
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: What Does the Individual Option Volatility Smirk Tell Us About Future Equity Returns? https://app.cochat.ai/papers/10.1017/s0022109010000220
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Xing, Y., Zhang, X., & Zhao, R. (2010). What Does the Individual Option Volatility Smirk Tell Us About Future Equity Returns? Journal of Financial and Quantitative Analysis. https://doi.org/10.1017/s0022109010000220

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.