Neural Networks for financial forecast

摘要

We use Neural Networks algorithms for forecasting financial time series. We check first the kind of correlations that the series exhibits by means of the estimate of the Hurst' s H parameter. The range of correlations characterize the time series and gives useful hints for choosing the network and the training set. The time series considered is given by the values of the futures of Italian BTP.