风险中性偏度:收益可预测性及其来源

IF 0.4 4区 经济学 Q4 BUSINESS, FINANCE
Zahid Rehman, G. Vilkov
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引用次数: 114

摘要

利用单个股票期权的数据,我们表明当前观察到的期权隐含事前偏度与未来股票收益呈正相关。这与使用历史股票或期权数据来估计偏度的现有证据形成对比,并发现负偏度-收益关系。我们通过使用无模型隐含偏度(MFIS)来代理事前偏度,并表明在修正系统风险敞口后,高MFIS股票的表现比低MFIS股票每月高出45个基点。我们发现,正的MFIS-收益关系源于当前MFIS识别公司价值偏离其基本价值的能力,而估值过高的股票具有最大的负先验偏度。我们进一步发现,价值修正过程的速度取决于套利者试图利用观察到的低效率所面临的套利风险。我们的研究结果对股票和期权市场的分割以及股票市场的套利限制具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Risk-Neutral Skewness: Return Predictability and Its Sources
Using data on individual stock options, we show that the currently observed option-implied ex ante skewness is positively related to future stock returns. This contrasts with the existing evidence that uses historical stock or option data to estimate skewness and finds a negative skewness-return relation. We proxy for the ex ante skewness by using the model-free implied skewness (MFIS) and show that high MFIS stocks outperform low MFIS stocks by 45 basis points per month after correcting for systematic exposure. We find that the positive MFIS-return relation stems from the ability of the current MFIS to identify the deviation of a firm’s value from its fundamental value, and the most overvalued stocks have the most negative ex ante skewness. We further find that the speed of the value correction process depends on the arbitrage risk faced by arbitrageurs trying to exploit the observed inefficiencies. Our results have implications for the segmentation of equity and options markets as well as for limits of arbitrage in equity markets.
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来源期刊
Journal of Derivatives
Journal of Derivatives Economics, Econometrics and Finance-Economics and Econometrics
CiteScore
1.30
自引率
14.30%
发文量
35
期刊介绍: The Journal of Derivatives (JOD) is the leading analytical journal on derivatives, providing detailed analyses of theoretical models and how they are used in practice. JOD gives you results-oriented analysis and provides full treatment of mathematical and statistical information on derivatives products and techniques. JOD includes articles about: •The latest valuation and hedging models for derivative instruments and securities •New tools and models for financial risk management •How to apply academic derivatives theory and research to real-world problems •Illustration and rigorous analysis of key innovations in derivative securities and derivative markets
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