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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