Pricing VIX Futures and Options With Good and Bad Volatility of Volatility

ABSTRACT This article studies the pricing of VIX futures and options by directly modeling the dynamics of VIX, based on realized semivariances computed from high‐frequency data of VIX. We derive the closed‐form pricing formula for both the VIX futures and options. The empirical results show that the new model provides superior pricing performance compared with the model based on conventional unsigned realized variance and the classic Heston‐Nandi GARCH model, both in sample and out of sample. Our study confirms that the decomposition of realized variance into upside and downside components helps to improve the pricing performance for VIX futures and options.

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Publication Details

Journal
Journal of Futures Markets
Published
2024-08-19
DOI
https://doi.org/10.1002/fut.22545
Citations
1
Primary Topic
Stochastic processes and financial applications
Type
article
Field-Weighted Citation Impact
0.54

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article

Pricing VIX Futures and Options With Good and Bad Volatility of Volatility

Zhuo Huang, Chen Tong, Zhiyu Guo
1 citations
Journal of Futures Markets
Stochastic processes and financial applications
0.54
article

Pricing VIX Futures and Options With Good and Bad Volatility of Volatility

Zhuo Huang, Chen Tong, Zhiyu Guo
article en
1 citations

Abstract

ABSTRACT This article studies the pricing of VIX futures and options by directly modeling the dynamics of VIX, based on realized semivariances computed from high‐frequency data of VIX. We derive the closed‐form pricing formula for both the VIX futures and options. The empirical results show that the new model provides superior pricing performance compared with the model based on conventional unsigned realized variance and the classic Heston‐Nandi GARCH model, both in sample and out of sample. Our study confirms that the decomposition of realized variance into upside and downside components helps to improve the pricing performance for VIX futures and options.

Journal of Futures MarketsVol. 44(11)
Xiamen University (CN), China Foreign Affairs University (CN), Peking University (CN), Xiamen University of Technology (CN)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Xiamen University
Openalex Percentile: Top 32%
Stochastic processes and financial applications
0.54
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Pricing VIX Futures and Options With Good and Bad Volatility of Volatility — Zhuo Huang, Chen Tong, et al. · Journal of Futures Markets (2024) | TGRS Research Map | TGRS