Big data analytic techniques associated with machine learning algorithms are playing an increasingly important role in various application fields, including stock market investment. However, few studies have focused on forecasting daily stock market returns, especially when using powerful...

This paper analyses the forecasting performance of monetary policy reaction functions using U.S. Federal Reserve's Greenbook real-time data. The results indicate that artificial neural networks are able to predict the nominal interest rate better than linear and nonlinearTaylor rule models as...

Neural networks design, control and robotics application -- Hybrid evolutionary systems for modelling, control and robotics applications -- Fuzzy logic and bayesian systems -- Machine learning, evolutionary optimisation and information retrieval -- About the authors -- Index