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Estimation, Sensitivity Analysis, and Optimization of Distortion Risk Measures via Simulation
We present a simulation-based method for the estimation, sensitivity analysis, and optimization of distortion risk measures (DRMs), a class of performance measures that capture a wide range of risk attitudes through an underlying distortion function. Existing simulation approaches often approximate
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