We investigate credit value adjustments (CVAs) in the presence of wrong-way risk (WWR) by introducing jumps at default to model correlation between counterparty’s default and relevant risk factors. We focus on the foreign-exchange and interest-rate cases, presenting efficient CVA approximations based on the CVA formulas derived under the independence assumption.

Numerical examples for a cross-currency swap and a vanilla interest-rate swap are showcased.

Bio:

Fabio is global head of Quantitative Analytics at Bloomberg LP, New York. His team is responsible for the research on and implementation of cross-asset analytics for derivatives pricing, XVA valuations and credit and risk management. Fabio is also adjunct professor at NYU, and a former CME risk committee member. He has jointly authored the book 'Interest rate models: theory and practice' and published extensively in books and international journals, including 16 cutting-edge articles in Risk Magazine. Fabio holds a BSc in Applied Mathematics from the University of Padua, Italy, and a PhD in Mathematical Finance from the Erasmus University of Rotterdam, The Netherlands.