Overview

Predicting the future for financial gain is a difficult, sometimes profitable activity. The focus of this book is the application of biologically inspired algorithms (BIAs) to financial modeling. In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modeling. Then Part I provides a thorough guide to the various bioinspired methodologies - neural networks, evolutionary computing (particularly genetic algorithms and grammatical evolution), particle swarm and ant colony optimization, and immune systems. Part II brings the reader through the development of models of market trading systems, defining the criteria and explaining how indicators should be analyzed. Finally, Part III examines real-world case studies where BIA methodologies were employed, among others trading systems in equity and foreign exchange markets, and the prediction of corporate bond ratings and corporate failures. The book was written for specialists in the finance community who want to apply BIAs in financial modeling, and for computer scientists who want an introduction to this growing application domain.

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9786610608652

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