运动中的微笑:非对称隐含波动率的日内分析

Martin Wallmeier
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引用次数: 9

摘要

本文提出了一种新的方法来衡量隐含波动率的变动与股票指数收益之间的日内关系。它利用了高频数据中微笑轮廓的特定特征。利用2000年至2011年欧洲斯托克50期权和1995年至2011年DAX期权(1400万笔交易)的交易数据,我们发现波动率的日内演变通常不符合交易者的经验法则,如粘性罢工或粘性增量规则。平均而言,指数回报对隐含波动率的影响是粘性罢工规则预测的1.3至1.5倍。驱动调整因子变化的主要因素是指数收益。我们的研究结果对期权估值、套期保值和杠杆效应的理解具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Smile in Motion: An Intraday Analysis of Asymmetric Implied Volatility
We present a new method to measure the intraday relationship between movements of implied volatility smiles and stock index returns. It exploits a specific characteristic of the smile profile in high-frequency data. Using transaction data for EuroStoxx 50 options from 2000 to 2011 and DAX options from 1995 to 2011 (14 million transactions), we find that the intraday evolution of volatility smiles is generally not consistent with traders' rules of thumb such as the sticky strike or sticky delta rule. On average, the impact of index return on implied volatility is 1.3 to 1.5 times stronger than the sticky strike rule predicts. The main factor driving variations of the adjustment factor is the index return. Our results have implications for option valuation, hedging and the understanding of the leverage effect.
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