Neural Networks for Economic and Financial Modelling

This book emphasizes the theoretical applications of artificial neural networks to economics and finance. Its main aim is to show that the tools that are used as standard practice in one field may be fruitfully applied to tackle other problems. Specifically, the authors propose ways of looking at economic issues and clarify that neural networks may be applied, at both theoretical and practical levels, to relevant economic questions.
A notable feature of Neural Networks for Economic and Financial Modelling is its coverage of the modelling of artificial agents and markets, a topic that has received considerably less attention in the available literature than the use of neural networks in purely financial applications.
This book should appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems, computer scientists who are looking for potential applications of artificial neural networks, and practitioners who are looking for new perspectives on how to use models for everyday operations.

Andrea Beltratii works in the Faculty of Economics at the University of Turin, Italy.