Pricing VIX derivatives using a stochastic volatility model with a flexible jump structure

IF 0.7 3区 工程技术 Q4 ENGINEERING, INDUSTRIAL Probability in the Engineering and Informational Sciences Pub Date : 2022-01-27 DOI:10.1017/S0269964821000577
Wuyi Ye, Bin Wu, Pengzhan Chen
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引用次数: 1

Abstract

This paper proposes a novel stochastic volatility model with a flexible jump structure. This model allows both contemporaneous and independent arrival of jumps in return and volatility. Moreover, time-varying jump intensities are used to capture jump clustering. In the proposed framework, we provide a semi-analytical solution for the pricing problem of VIX futures and options. Through numerical experiments, we verify the accuracy of our pricing formula and explore the impact of the jump structure on the pricing of VIX derivatives. We find that the correct identification of the market jump structure is crucial for pricing VIX derivatives, and misspecified model setting can yield large errors in pricing.
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采用具有弹性跳跃结构的随机波动率模型对VIX衍生品进行定价
提出了一种具有柔性跳跃结构的随机波动模型。这个模型允许同时和独立的回报和波动的跳跃。此外,时变的跳跃强度用于捕获跳跃聚类。在提出的框架中,我们为VIX期货和期权的定价问题提供了半解析解。通过数值实验验证了定价公式的准确性,并探讨了跳跃结构对VIX衍生品定价的影响。我们发现,市场跳跃结构的正确识别对于VIX衍生品的定价至关重要,而错误的模型设置会产生很大的定价误差。
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来源期刊
CiteScore
2.20
自引率
18.20%
发文量
45
审稿时长
>12 weeks
期刊介绍: The primary focus of the journal is on stochastic modelling in the physical and engineering sciences, with particular emphasis on queueing theory, reliability theory, inventory theory, simulation, mathematical finance and probabilistic networks and graphs. Papers on analytic properties and related disciplines are also considered, as well as more general papers on applied and computational probability, if appropriate. Readers include academics working in statistics, operations research, computer science, engineering, management science and physical sciences as well as industrial practitioners engaged in telecommunications, computer science, financial engineering, operations research and management science.
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