Vulnerable options under a Hawkes jump-diffusion model with two-factor stochastic volatility

IF 10.2 1区 经济学 Q1 BUSINESS, FINANCE
Puneet Pasricha , Xin-Jiang He
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引用次数: 0

Abstract

In this article, we address the valuation of a European vulnerable options within a structural framework. Specifically, we model the underlying asset and the asset of the option writer using a joint Hawkes jump-diffusion model with two-factor stochastic volatility. We derive a general analytical integral formula for prices of European options, applicable under any modeling framework as long as the joint characteristic function of asset prices associated with the underlying and option writer is available analytically. Distinguished from the pricing formulae in the literature, especially in a jump-diffusion framework, which is either in the form of the expectation over the jump process or requires evaluating several layers of infinite sums, our formula is significantly simplified and computationally efficient. Moreover, our model dynamics encompasses a wide range of commonly used models as special cases, for which we provide explicit analytical forms of the joint characteristic functions. Finally, we present numerical experiments demonstrating the accuracy and computational efficiency of our formula, along with sensitivity analysis to highlight the impact of various model parameters on the option prices.
具有两因素随机波动率的Hawkes跳-扩散模型下的脆弱期权
在本文中,我们将在结构框架内解决欧洲脆弱期权的估值问题。具体来说,我们使用一个具有双因素随机波动率的联合Hawkes跳-扩散模型对标的资产和期权出权人的资产进行建模。我们推导了欧式期权价格的一般解析积分公式,只要与标的和期权出售者相关的资产价格的联合特征函数是可解析的,它就适用于任何建模框架。与文献中的定价公式不同,特别是在跳跃-扩散框架中,价格公式要么以跳跃过程的期望形式出现,要么需要评估几层无限和,我们的公式显着简化,计算效率高。此外,我们的模型动力学包含了广泛的常用模型作为特殊情况,为此我们提供了联合特征函数的显式分析形式。最后,我们通过数值实验证明了我们的公式的准确性和计算效率,并通过敏感性分析来突出各种模型参数对期权价格的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
10.30
自引率
9.80%
发文量
366
期刊介绍: The International Review of Financial Analysis (IRFA) is an impartial refereed journal designed to serve as a platform for high-quality financial research. It welcomes a diverse range of financial research topics and maintains an unbiased selection process. While not limited to U.S.-centric subjects, IRFA, as its title suggests, is open to valuable research contributions from around the world.
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