Description: Biologically Inspired Algorithms for Financial Modelling Please note: this item is printed on demand and will take extra time before it can be dispatched to you (up to 20 working days). Author(s): Anthony Brabazon, Michael O'Neill Format: Paperback Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Germany Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K ISBN-13: 9783642065736, 978-3642065736 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.
Price: 72.55 GBP
Location: Aldershot
End Time: 2024-01-06T17:57:07.000Z
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Book Title: Biologically Inspired Algorithms for Financial Modelling
Subject Area: Data Analysis
Item Height: 235mm
Item Width: 155mm
Author: Michael O'neill, Anthony Brabazon
Publication Name: Biologically Inspired Algorithms for Financial Modelling
Format: Paperback
Language: English
Publisher: Springer-Verlag Berlin AND Heidelberg Gmbh & Co. KG
Subject: Engineering & Technology, Accounting, Finance, Computer Science, Management
Publication Year: 2010
Type: Textbook
Item Weight: 456g
Number of Pages: 277 Pages
