New hybrid method revolutionizes financial risk prediction for banking and finance.
Financial experts compared different methods for predicting value-at-risk (VaR) using NASDAQ data. Most methods didn't perform well, but a hybrid model combining GARCH and extreme value theory did the best. Another model based on mixture distributions also did well. Some models based on CAViaR didn't work as well, but one extension showed promise.