Abstract

Instability, complexity and chaotic behavior are distinguishing features of financial markets. As a result, financial analysis has greatly benefited from the application of concepts and tools from nonlinear science. In addition, the need to analyze huge amounts of financial data necessitates the utilization of computer-intensive methods. This chapter aims to provide an overview of the diverse research domains, in financial analysis, where nonlinear science, combined with computational intelligence, could find application.