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Importance Sampling for Credit Portfolio Simulation
Jan 1, 2010
Risk measurement relies heavily on Monte Carlo simulation. We describe a variance reduction technique, importance sampling, that focuses simulation on scenarios in the adverse tail of the return distribution. Importance sampling can greatly enhance the speed and accuracy of credit portfolio statistics without biasing them.
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