THE IMPACT OF NEURAL NETWORKS IN FINANCE

The financial industry is becoming more and more dependent on advanced computer-technologies in order to maintain competitiveness in a globa l economy. Neural networks represent an exciting technology with a wid e scope for potential applications, ranging from routine credit assess ment operations to driving of large scale portfolio management strateg ies. Some of these applications have already resulted in dramatic incr eases in productivity. This paper brings together, from diverse source s, a collection of current research issues on neural networks in the f inancial domain. It examines a range of neural network systems related to financial applications from different levels of maturity to fielde d products. It discusses the success rate of the neural network system s, and their performance in resolving particular financial problems.