Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
Edition: 1 edition
Publisher: Springer
Published: February 10, 2006
Language: eng
Format: Hardcover
Number of pages: 275
ISBN-13: 9783540262527
Subjects: Algorithms & procedures; Computer modelling & simulation; Investment & securities; Mathematical models; Computers; Computers - General Information; Computer Books: General; Operations Research; Computer Science; Finance; Computers / Computer Science; ant colony systems; artificial immune systems; biologically inspired algorithms (BIAs); computer trading; evolutionary methodologies; financial markets; financial trading; genetic algorithms (GAs); grammatical evolution (GE)
Description: 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.