Research Article

Quantile-Based Estimative VaR Forecast and Dependence Measure: A Simulation Approach

Table 2

The estimative VaR forecast and its coverage probability (in the bracket) of a random loss that depends on another random loss.

Normal

Bivariate normal1.9951 (0.9509)Bivariate 1.8636 (0.9500)
Gaussian copula1.5273 (0.9533) copula2.4528 (0.9543)
Clayton copula1.5359 (0.9542)Clayton copula2.4674 (0.9549)