Simulation Value at Risk


Author: Glyn A. Holton

Simulation is often the method of choice when estimating Value-at-Risk (VAR) for portfolios that contain non-linear instruments such as options.  The author compares Monte Carlo VAR and historical VAR, which are two popular approaches for simulating VAR.

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The Journal of Performance Measurement

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