Wrong Way Risk corrections to CVA in CIR reduced-form models

IF 1.3 Q3 SOCIAL SCIENCES, MATHEMATICAL METHODS Computational Management Science Pub Date : 2023-10-16 DOI:10.1007/s10287-023-00480-0
Fabio Antonelli, Alessandro Ramponi, Sergio Scarlatti
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Abstract

Abstract In this paper we provide an efficient methodology to compute the credit value adjustment of a European contingent claim subject to some default event concerning the issuer solvability, when the underlying and the default event are correlated. In particular, in a Black and Scholes market/CIR intensity-default model, we consider a second order expansion around the origin of a vulnerable call option with respect to a correlation parameter $$\rho$$ ρ , which may be used to describe the wrong way risk of the contract, measuring the dependence between the underlying asset price and the option’s issuer default intensity. Numerical implementations of this approach are compared with the benchmark Monte Carlo simulations.
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在CIR简化模型中对CVA的风险修正
摘要在本文中,我们提供了一种有效的方法来计算欧洲或有债权的信用价值调整,当基础和违约事件相关时,涉及发行人的偿债能力。特别地,在Black和Scholes市场/CIR强度-违约模型中,我们考虑了围绕脆弱看涨期权起源的二阶展开式,相关参数$$\rho$$ ρ可用于描述合约的错误方式风险,测量标的资产价格与期权发行者违约强度之间的依赖性。该方法的数值实现与基准蒙特卡罗模拟进行了比较。
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来源期刊
Computational Management Science
Computational Management Science SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
1.90
自引率
11.10%
发文量
13
期刊介绍: Computational Management Science (CMS) is an international journal focusing on all computational aspects of management science. These include theoretical and empirical analysis of computational models; computational statistics; analysis and applications of constrained, unconstrained, robust, stochastic and combinatorial optimisation algorithms; dynamic models, such as dynamic programming and decision trees; new search tools and algorithms for global optimisation, modelling, learning and forecasting; models and tools of knowledge acquisition. The emphasis on computational paradigms is an intended feature of CMS, distinguishing it from more classical operations research journals. Officially cited as: Comput Manag Sci
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