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Synopsis
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.
"synopsis" may belong to another edition of this title.
Review
From the reviews:
"Anthony Brabazon and Michael O’Neill ... have just published an interesting book that introduces a wide range of biologically inspired algorithms and their applications in financial modelling. ... This book is a well-written, easy to read, brief introduction to the state-of-the-art biologically inspired algorithms." (Mak Kaboudan, Genetic Programming and Evolvable Machines, Vol. 7, 2006)
“The objective of this book is to provide an introduction to biologically inspired algorithms and some tightly scoped practical examples in finance. ... provides some new insights and alternative tools for the financial modelling toolbox. ... The goal and objective of the book is to provide practical examples using these evolutionary algorithms and it does that decently ... . Overall I found the book very enlightening ... and it has provided ideas and alternative ways to think about solutions.” (Brad G. Kyer, SIGACT News, Vol. 40 (4), 2009)"About this title" may belong to another edition of this title.
- PublisherSpringer
- Publication date2005
- ISBN 10 3540262520
- ISBN 13 9783540262527
- BindingHardcover
- LanguageEnglish
- Number of pages292
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Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
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Springer (edition 2006), 2005
ISBN 10: 3540262520
ISBN 13: 9783540262527
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Biologically Inspired Algorithms for Financial Modelling
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Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series) Brabazon, Anthony and O'Neill, Michael
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Biologically Inspired Algorithms for Financial Modelling
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Buch. Condition: Neu. Neuware - 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 toapply BIAs in financial modelling, and for computer scientists who want an introduction to this growing application domain. Seller Inventory # 9783540262527
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Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series)
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