{"title":"Asymmetry and the Cross-section of Option Returns","authors":"Jianqiu Wang , Ke Wu , Sijie Yang , Dexin Zhou","doi":"10.1016/j.finmar.2024.100932","DOIUrl":null,"url":null,"abstract":"<div><div>We propose a novel measure of upside asymmetry based on probability density function that utilizes information from the distribution of option returns. Our analysis of U.S. option data reveals a positive cross-sectional relationship between the upside asymmetry (RML) and subsequent option returns. This relationship cannot be explained by stock or option characteristics studied in previous literature and do not reverse in the following months. Additionally, the relationship is stronger among firms with higher costs of arbitrage. RML robustly predicts future realized and implied volatilities after controlling for historical volatility and lagged implied volatility.</div></div>","PeriodicalId":47899,"journal":{"name":"Journal of Financial Markets","volume":"71 ","pages":"Article 100932"},"PeriodicalIF":2.1000,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Financial Markets","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1386418124000508","RegionNum":2,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
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Abstract
We propose a novel measure of upside asymmetry based on probability density function that utilizes information from the distribution of option returns. Our analysis of U.S. option data reveals a positive cross-sectional relationship between the upside asymmetry (RML) and subsequent option returns. This relationship cannot be explained by stock or option characteristics studied in previous literature and do not reverse in the following months. Additionally, the relationship is stronger among firms with higher costs of arbitrage. RML robustly predicts future realized and implied volatilities after controlling for historical volatility and lagged implied volatility.
期刊介绍：
The Journal of Financial Markets publishes high quality original research on applied and theoretical issues related to securities trading and pricing. Area of coverage includes the analysis and design of trading mechanisms, optimal order placement strategies, the role of information in securities markets, financial intermediation as it relates to securities investments - for example, the structure of brokerage and mutual fund industries, and analyses of short and long run horizon price behaviour. The journal strives to maintain a balance between theoretical and empirical work, and aims to provide prompt and constructive reviews to paper submitters.
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