Non-linear volatility with normal inverse Gaussian innovations: ad-hoc analytic option pricing
REVIEW OF QUANTITATIVE FINANCE AND ACCOUNTING(2024)
摘要
This paper proposes an approximate closed-form option-pricing model based on a non-linear GARCH process with Normal Inverse Gaussian (NIG) Lévy innovations. We develop the mathematical framework and demonstrate how to obtain a closed-form solution to the option price when the return dynamics are characterized by NIG innovations for volatility that follow a non-linear GARCH process. Using a sample of S&P 500 index options, we calibrate the proposed model alongside popular existing models. Overall, from a unified comparison of various analytic pricing approaches, we find that our model performs significantly better than existing models, both in-sample and out-of-sample.
更多查看译文
关键词
Levy innovations,Stochastic volatility,GARCH,Calibration,NIG,G12,G13
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要