We study the impact of wrong way risk (WWR) on credit valuation adjustment (CVA) for Bermudan options. WWR is modeled by a dependency between the underlying asset and the intensity of the counterparty's default. Two WWR models are proposed, based on a deterministic function and a CIR-jump (CIRJ) model, respectively. We present a nonnested Monte Carlo approach for computing CVA-VaR and CVA-expected shortfall (ES) for Bermudan options. By varying correlation coefficients, we study the impact of credit quality and WWR on the optimal exercise boundaries and CVA values of Bermudan products. Stress testing is performed.

Additional Metadata
Keywords Bermudan options, Credit Valuation Adjustment (CVA), Nonnested Monte Carlo, Wrong way risk (WWR)
Persistent URL dx.doi.org/10.1142/S021902491750056X
Journal International Journal of Theoretical and Applied Finance
Project Advanced Estimation of Credit Valuation Adjustment
Citation
Feng, Q, & Oosterlee, C.W. (2018). Computing credit valuation adjustment for Bermudan options with wrong way risk. International Journal of Theoretical and Applied Finance, 20(8). doi:10.1142/S021902491750056X