In recent years support vector regression (SVR), a novel neural network (NN) technique, has been successfully used for financial forecasting. This paper deals with the application of SVR in volatility forecasting. Based on a recurrent SVR, a GARCH method is proposed and is compared with a moving...

Using a GARCH model, we study the effects of Canadian and U.S. central bank communication and macroeconomic news on Canadian bond, stock, and foreign exchange market returns and volatility. First, news in both categories and from both countries has an impact on all financial markets. Canadian...