Proceedings of the 35th conference on Winter simulation: driving innovation
An Introduction to Copulas (Springer Series in Statistics)
An Introduction to Copulas (Springer Series in Statistics)
Analyzing the credit default swap market using Cartesian genetic programming
PPSN'10 Proceedings of the 11th international conference on Parallel problem solving from nature: Part I
Computing mean first exit times for stochastic processes using multi-level Monte Carlo
Proceedings of the Winter Simulation Conference
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In recent years, the credit derivatives market has grown explosively and credit derivatives have become popular tools for hedging credit risk of financial institutions. Among the more sophisticated credit derivatives are the ones where the contingent payoffs depend on the dependence relationship among several firms in a basket, such as First-to-Default Credit Default Swap. In this paper, we present a simulation-based First-to-Default Credit Derivative Swap pricing approach under jump-diffusion and compare it with the popular default-time approach via Copula.