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Smile and default: the role of stochastic volatility and interest rates in counterparty credit risk
Authors:S Simaitis  N Hari  D Kandhai
Institution:1. Computational Science, University of Amsterdam, Science Park 904, 1098 XHAmsterdam, The Netherlands.;2. Quantitative Analytics, ING Bank, Foppingadreef 7, 1102 BDAmsterdam, The Netherlands.;3. Quantitative Analytics, ING Bank, Foppingadreef 7, 1102 BDAmsterdam, The Netherlands.
Abstract:In this research, we investigate the impact of stochastic volatility and interest rates on counterparty credit risk (CCR) for FX derivatives. To achieve this we analyse two real-life cases in which the market conditions are different, namely during the 2008 credit crisis where risks are high and a period after the crisis in 2014, where volatility levels are low. The Heston model is extended by adding two Hull–White components which are calibrated to fit the EURUSD volatility surfaces. We then present future exposure profiles and credit value adjustments (CVAs) for plain vanilla cross-currency swaps (CCYS), barrier and American options and compare the different results when Heston-Hull–White-Hull–White or Black–Scholes dynamics are assumed. It is observed that the stochastic volatility has a significant impact on all the derivatives. For CCYS, some of the impact can be reduced by allowing for time-dependent variance. We further confirmed that Barrier options exposure and CVA is highly sensitive to volatility dynamics and that American options’ risk dynamics are significantly affected by the uncertainty in the interest rates.
Keywords:Exposure  FX  Heston  Hull–White  FDMC  Stochastic volatility  Stochastic interest rates  EURUSD  Counterparty risk
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