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The Value-at-Risk (VAR) measurements are widely applied to estimate exposure to market risks. The traditional approaches to VAR computations - the variance-covariance method, historical simulation, Monte Carlo simulation, and stress-testing - do not provide satisfactory evaluation of possible...
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We analyze a multistage stochastic asset allocation problem with decision rules.
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The Value-at-Risk (VAR) measurements are widely applied to estimate exposure to market risks. The traditional approaches to VAR computations -the variance-covariance method, historical simulation, Monte Carlo simulation, and stress-testing- do not provide satisfactory evaluation of possible...
Persistent link: https://www.econbiz.de/10005245562
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