Khindanova, I.N.; Rachev, S.T. - 2000
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...