International Conference on Computational Science , ICCS 2013 A benchmark approach of counterparty credit exposure of Bermudan option under Lévy Process : the Monte Carlo-COS Method

An advanced method, which we call Monte Carlo-COS method, is proposed for computing the counterparty credit exposure profile of Bermudan options under Levy process. The different exposure profiles and exercise intensity under different mea- sures, P and Q, are discussed. Since the COS method [1] delivers accurate Bermudan prices, and no change of measure [2] needed to get the P-probability distribution, the exposure profile produced by the Monte Carlo-COS algorithm can be used as a benchmark result, E.g., to analyse the reliability of the popular American Monte Carlo method [3], [4] and [5]. The efficient calculation of expected exposure (EE) [6] can be further applied to the computation of credit value adjustment (CVA) [6].

[2]  G. Cesari,et al.  Modelling, Pricing, and Hedging Counterparty Credit Exposure: A Technical Guide , 2010 .

[3]  D. Duffie,et al.  Measuring and marking counterparty risk , 2003 .

[4]  Cornelis W. Oosterlee,et al.  A Novel Pricing Method for European Options Based on Fourier-Cosine Series Expansions , 2008, SIAM J. Sci. Comput..

[5]  Samim Ghamami Counterparty Credit Risk , 2013 .

[6]  A. Antonov,et al.  Algorithmic Exposure and CVA for Exotic Derivatives , 2011 .

[7]  Jean-Charles Rochet,et al.  Changes of numéraire, changes of probability measure and option pricing , 1995, Journal of Applied Probability.

[8]  Georges Dionne,et al.  Credit Risk: Pricing, Measurement, and Management , 2005 .

[9]  Paul Glasserman,et al.  Monte Carlo Methods in Financial Engineering , 2003 .

[10]  Cornelis W. Oosterlee,et al.  Two-Dimensional Fourier Cosine Series Expansion Method for Pricing Financial Options , 2012, SIAM J. Sci. Comput..

[11]  Credit Risk Pricing , 2013 .

[12]  James A. Tilley Valuing American Options in a Path Simulation Model , 2002 .

[13]  S. Shreve Stochastic Calculus for Finance II: Continuous-Time Models , 2010 .

[14]  On the Estimation of Credit Exposures Using Regression-Based Monte Carlo Simulation , 2008 .

[15]  M. Omizo,et al.  Modeling , 1983, Encyclopedic Dictionary of Archaeology.

[16]  A Conditional Valuation Approach for Path-Dependent Instruments , 2005 .

[17]  Measuring Counterparty Credit Risk for Trading Products under Basel II , 2006 .

[18]  Potential Future Exposure Calculations of Multi-Asset Exotic Products using the Stochastic Mesh Method , 2010 .

[19]  Steven H. Zhu,et al.  A Guide to Modeling Counterparty Credit Risk , 2008 .