The main goal of this article is to provide an answer to the question: does anything forecast
exchange rates, and if so, which variables? It is well known that exchange rate fluctuations …

This article proposes new methodologies for evaluating economic models' out-of-sample
forecasting performance that are robust to the choice of the estimation window size. The …

This paper examines the asymptotic and finite-sample properties of tests of equal forecast
accuracy and encompassing applied to direct, multistep predictions from nested regression …

Artificial neural networks (ANNs) have been widely applied to finance and economic
forecasting as a powerful modeling technique. By reviewing the related literature, we …

In the last few years there have been many efforts in econophysics studying how network
theory can facilitate understanding of complex financial markets. These efforts consist mainly …

In the recent years we have seen widespread discussion about productivity. The most
common measures of productivity that are widely used by economists and business …

This study integrated new hybrid asymmetric volatility approach into artificial neural
networks option-pricing model to improve forecasting ability of derivative securities price …

We report evidence on the profitability and statistical significance among 2,127 technical
trading rules. The best rules are found to be significantly profiTable based on standard tests …

The book focuses on forecasting foreign exchange rates via artificial neural networks. It
creates and applies the highly useful computational techniques of Artificial Neural Networks …

Recently, support vector machine (SVM), a novel artificial neural network (ANN), has been
successfully used for financial forecasting. This paper deals with the application of SVM in …