Biologically Inspired Algorithms for Financial Modelling (Natural Computing)

by Anthony Brabazon and Department of English Michael O'Neill

0 ratings • 0 reviews • 0 shelved
Book cover for Biologically Inspired Algorithms for Financial Modelling

Bookhype may earn a small commission from qualifying purchases. Full disclosure.

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.

  • ISBN10 3540812008
  • ISBN13 9783540812005
  • Publish Date 31 August 2008 (first published 16 December 2005)
  • Publish Status Withdrawn
  • Out of Print 18 October 2014
  • Publish Country US
  • Imprint Springer
  • Format Paperback (US Trade)
  • Pages 296
  • Language English