Brabazon / O'Neill

Biologically Inspired Algorithms for Financial Modelling

2005. Buch. xv, 277 S.: 39 s/w-Tabelle, Bibliographien. Hardcover
Springer ISBN 978-3-540-26252-7
Format (B x L): 15,5 x 23,5 cm
Gewicht: 1310 g
In englischer Sprache
Das Werk ist Teil der Reihe:
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 modelling.

In a detailed introduction, the authors explain computer trading on financial markets and the difficulties faced in financial market modelling. 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 market trading systems. Finally, Part III examines real-world case studies where BIA methodologies are employed to construct trading systems in equity and foreign exchange markets, and for the prediction of corporate bond ratings and corporate failures.

The book was written for those in the finance community who want to apply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain.



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Applies biologically inspired algorithms (BIAs) to financial modeling Shows how financial modeling benefits from techniques developed for biological studies: neural networks, evolutionary computing, particle swarm and ant colony optimization, and immune systems The authors are unusually well qualified to explain BIA methodologies to financial trading specialists, and financial trading models to computer scientists This approach has been refined in postgraduate classes in both disciplines