{"title":"Pricing VXX Options With Observable Volatility Dynamics From High-Frequency VIX Index","authors":"Shan Lu","doi":"10.1002/fut.22591","DOIUrl":null,"url":null,"abstract":"<p>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</p>","PeriodicalId":15863,"journal":{"name":"Journal of Futures Markets","volume":"45 7","pages":"771-801"},"PeriodicalIF":1.8000,"publicationDate":"2025-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/fut.22591","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Futures Markets","FirstCategoryId":"96","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/fut.22591","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
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
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.