Pricing VXX Options With Observable Volatility Dynamics From High-Frequency VIX Index

IF 1.8 4区 经济学 Q2 BUSINESS, FINANCE
Shan Lu
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引用次数: 0

Abstract

This paper develops a discrete-time joint analytical framework for pricing volatility index (VIX) and VXX options consistently. We show that our framework is more flexible than continuous-time VXX models as it allows the information contained in the high-frequency VIX index to be incorporated for the joint pricing of VIX and VXX options, and the joint pricing formula is derived. Our empirical analysis shows that the model that utilizes the realized variance (RV) computed from the high-frequency VIX index data significantly outperforms the model that does not rely on the VIX RV in the joint pricing both in-sample and out-of-sample, reinforcing the beliefs that high-frequency data are informative about the derivatives pricing

基于高频波动率指数的VXX期权定价
本文建立了波动性指数(VIX)和VXX期权一致性定价的离散时间联合分析框架。我们表明,我们的框架比连续时间VXX模型更灵活,因为它允许将高频VIX指数中包含的信息纳入VIX和VXX期权的联合定价,并推导出联合定价公式。我们的实证分析表明,利用高频VIX指数数据计算的已实现方差(RV)的模型在样本内和样本外联合定价方面都明显优于不依赖VIX RV的模型,从而强化了高频数据对衍生品定价具有信息的信念
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来源期刊
Journal of Futures Markets
Journal of Futures Markets BUSINESS, FINANCE-
CiteScore
3.70
自引率
15.80%
发文量
91
期刊介绍: The Journal of Futures Markets chronicles the latest developments in financial futures and derivatives. It publishes timely, innovative articles written by leading finance academics and professionals. Coverage ranges from the highly practical to theoretical topics that include futures, derivatives, risk management and control, financial engineering, new financial instruments, hedging strategies, analysis of trading systems, legal, accounting, and regulatory issues, and portfolio optimization. This publication contains the very latest research from the top experts.
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