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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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Previews available in: English
Subjects
Mathematical models, Finance, Computer simulation, Information theory, Banks and banking, Operations research, Computer science, Computer algorithms, Neural networks (computer science), Theory of Computation, Quantitative Finance, Simulation and Modeling, Operations Research/Decision Theory, Finance /Banking, Computer ApplicationsShowing 3 featured editions. View all 3 editions?
Edition | Availability |
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1
Biologically Inspired Algorithms for Financial Modelling
2010, Springer Berlin / Heidelberg
in English
3642065732 9783642065736
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2
Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
February 10, 2006, Springer
Hardcover
in English
- 1 edition
3540262520 9783540262527
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3
Biologically Inspired Algorithms for Financial Modelling
2006, Springer London, Limited
in English
3540313079 9783540313076
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