A robust LR test for the GARCH model

In this paper a robust likelihood ratio test is proposed for drawing inference on the conditional variance parameters in the GARCH model. The test is simple to compute, and its finite sample properties with respect to size and power are comparable to those of robust Wald and Lagrange multiplier statistics.