CVA and vulnerable options pricing by correlation expansions

Autor:	Antonelli, Fabio, Ramponi, Alessandro, Scarlatti, Sergio
Rok vydání:	2018
Předmět:	Quantitative Finance - Computational Finance
Druh dokumentu:	Working Paper
Popis:	We consider the problem of computing the Credit Value Adjustment ({CVA}) of a European option in presence of the Wrong Way Risk ({WWR}) in a default intensity setting. Namely we model the asset price evolution as solution to a linear equation that might depend on different stochastic factors and we provide an approximate evaluation of the option's price, by exploiting a correlation expansion approach, introduced in \cite{AS}. We compare the numerical performance of such a method with that recently proposed by Brigo et al. (\cite{BR18}, \cite{BRH18}) in the case of a call option driven by a GBM correlated with the CIR default intensity. We additionally report some numerical evaluations obtained by other methods. Comment: 21 pages
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1811.07294 Zobrazit plný text záznamu View this record from Arxiv