classify the companies in performance groups, using: a) minimal pre-processing of the original company data; b) dimensionality …

This study investigates the use of two different types of the Artificial Neural Networks (ANNs), Feed-Forward (FF … the US dollar against the three major currencies: the Euro, the Pound and the Yen. Although the ANNs technique is not very … prediction than those of the standard econometric techniques such as ARMA. ANNs are, in fact, capable of dealing with high …

has been used, known as artificial neural networks (ANNs). In order to forecast the necessary future volumes of timber in …

provide a very good performance. The conclusion is that Artificial Neural Network (ANN) models are able to identify key …

neural network (ANN) and random forest (RF) models to predict the stock index returns. The performance of ARIMA-SVM, ARIMA …-ANN and ARIMA-RF are compared with performance of ARIMA, SVM, ANN and RF models. The various competing models are evaluated in … terms of statistical metrics and trading performance criteria via a trading strategy. The analysis shows that the hybrid …

volatility estimation) has a superior performance comparing the warrant pricing by using the Black-Scholes model with historical …