This paper presents the principle of Monte Carlo optimize calculation of credit risk VaR for loanportfolio using Importance Sampling technique. Based on Matlab language, simulation experiments arecarried out and the result shows this approach can effectively reduce the numher of simulation runs andimprove the precision of parameter estimation.
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