Stock Return Autocorrelations and Expected Option Returns

We show that the return autocorrelation of underlying stock is an important determinant of expected equity option returns. Using an extended Black-Scholes model incorporating the presence of stock return autocorrelation, we demonstrate that expected returns of both call and put options are increasing in the return autocorrelation coefficient of the underlying stock. Consistent with this insight, we find strong empirical support in the cross-section of average returns of equity options. Our paper highlights the necessity to control for stock return autocorrelation when studying option return predictability. This paper was accepted by Agostino Capponi, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03071 .

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Publication Details

Journal
Management Science
Published
2024-09-23
DOI
https://doi.org/10.1287/mnsc.2023.03071
Citations
5
Primary Topic
Financial Markets and Investment Strategies
Type
article
Field-Weighted Citation Impact
2.16
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article

Stock Return Autocorrelations and Expected Option Returns

Raymond Kan, Yoontae Jeon, Gang Li
5 citations
Management Science
Financial Markets and Investment Strategies
2.16
article

Stock Return Autocorrelations and Expected Option Returns

Raymond Kan, Yoontae Jeon, Gang Li
article en
5 citations

Abstract

We show that the return autocorrelation of underlying stock is an important determinant of expected equity option returns. Using an extended Black-Scholes model incorporating the presence of stock return autocorrelation, we demonstrate that expected returns of both call and put options are increasing in the return autocorrelation coefficient of the underlying stock. Consistent with this insight, we find strong empirical support in the cross-section of average returns of equity options. Our paper highlights the necessity to control for stock return autocorrelation when studying option return predictability. This paper was accepted by Agostino Capponi, finance. Supplemental Material: The online appendix and data files are available at https://doi.org/10.1287/mnsc.2023.03071 .

Management ScienceVol. 71(6)
Chinese University of Hong Kong (HK), University of Toronto (CA), McMaster University (CA)
Openalex Percentile: Top 12%
Financial Markets and Investment Strategies
2.16
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Stock Return Autocorrelations and Expected Option Returns — Raymond Kan, Yoontae Jeon, et al. · Management Science (2024) | TGRS Research Map | TGRS