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Mathematical Finance and Probability Seminars

Managing counterparty credit risk via backward SDEs

Tuesday, December 06, 2016 at 11:45am - 12:45pm

Anja Ritchter (CUNY Baruch)

Anja Ritchter, CUNY Baruch: Counterparty credit risk has recently moved to the forefront of attention of the financial industry. We discuss a general dynamic replication approach to counterparty credit risk modeling. This leads to a fundamental jump-process backward stochastic differential equation (BSDE) for the credit risk adjusted portfolio value. We then reduce the fundamental BSDE to a continuous BSDE. Depending on the close out value convention, the reduced fundamental BSDE's solution can be represented explicitly or through an approximate expression. We will furthermore discuss practical aspects of the approach, important for industry applications: (i) efficient numerical methodology for solving a BSDE driven by a moderate number of Brownian motions, and (ii) factor reduction methodology that allows one to approximately replace a portfolio driven by a large number of risk factors with a portfolio driven by a moderate number of risk factors.
Location   Hill 705

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Mathematical Finance Master's Program

Department of Mathematics, Hill 348
Hill Center for Mathematical Sciences
Rutgers, The State University of New Jersey
110 Frelinghuysen Road
Piscataway, NJ 08854-8019

Email: finmath (at)
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