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...

This paper analyses mutual causalities between crude oil price and euro / US dollar exchange rate. Instead of focusing on long-run macroeconomic linkages like the bulk of the relevant literature takes a financial markets perspective using daily data. The fast-running simultaneousimpacts are...

We analyse the impact of news on five financial markets in the Czech Republic, Hungary and Poland using a newly constructed data set in a GARCH framework. Macroeconomic shocks (on GDP, inflation rate, current account and trade balance) are constructed as deviations from expected values....