Biologically Inspired Algorithms for Financial Modelling (Natural Computing Series) - Softcover

Brabazon, Anthony; O'Neill, Michael

Softcover

ISBN 10: 3642065732 ISBN 13: 9783642065736

Publisher: Springer, 2010

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.

About this title

About the Author

Prof. Anthony Brabazon is currently Associate Dean of the Smurfit Graduate School of Business, University College Dublin (UCD) and Professor of Accountancy; previous positions include Vice-Principal of Research and Innovation for the College of Business and Law, Head of Research for the School of Business and Programme Director for the Master of Accounting Degree. His primary research interests concern the development of natural computing theory and the application of related algorithms to real-world problems, particularly in the domain of business and finance and he has pioneered multidisciplinary collaborations with industry in areas such as financial mathematics, financial economics and computer science. He is cofounder and co director of the Natural Computing Research and Applications Group at UCD, among the most successful research groups dedicated to this subject. He has a bachelor's degree in commerce and a diploma in accounting, he is a qualified professional accountant andhe has postgraduate qualifications in statistics and operations research. Prof. Michael O'Neill holds the ICON Chair of Business Analytics, is Vice-Principal for Research, Innovation & Impact in the UCD College of Business, and is a founding Director of the UCD Natural Computing Research and Applications Group, among the most successful international research groups dedicated to this subject. He is one of the inventors of Grammatical Evolution and is independently ranked as one of the top 5 researchers in Genetic Programming, with over 250 peer-reviewed publications, over 4000 citations and a H-index of 29. He has held senior positions in the key academic conference committees, journal boards and review committees in this field and he has supervised many Ph.D. and research M.Sc. projects in evolutionary computing. He has a bachelor's degree in biology and a Ph.D. in computer science. Dr. Seán McGarraghy is the Director of the UCD Smurfit Graduate School of Business M.Sc. in Business Analytics. He has qualifications in electronics, mathematics and management and his teaching and academic publications cover many aspects of business analytics and operations research. Particular topics of interests include combinatorial enumeration and optimization, network algorithms, supply chain management, quadratic forms and K-theory.

From the Back Cover

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.

Edition details

• Publisher: Springer
• Publication date: 2010
• Language: English
• ISBN 10: 3642065732
• ISBN 13: 9783642065736
• Binding: Paperback
• Number of pages: 277