Java Methods for Financial Engineering: Applications in Finance and Investment

Java Methods for Financial Engineering: Applications in Finance and Investment

by PhilipBarker (Author)

Synopsis

This book describes the principles of model building in financial engineering. It explains those models as designs and working implementations for Java-based applications. The book provides software professionals with an accessible source of numerical methods or ready-to-use code for use in business applications. It is the first book to cover the topic of Java implementations for finance/investment applications and is written specifically to be accessible to software practitioners without prior accountancy/finance training. The book develops a series of packaged classes explained and designed to allow the financial engineer complete flexibility.

$118.13

Quantity

20+ in stock

More Information

Format: Hardcover
Pages: 561
Edition: first
Publisher: Springer
Published: 25 May 2007

ISBN 10: 1852338326
ISBN 13: 9781852338329

Media Reviews

From the reviews:

This is a book that aims to provide software professionals with an accessible source of numerical methods and/or a `ready-to-use' code for use in business applications. Anyone working in management sciences, in modeling or software development will want to peruse this text. ... `it is the first book to cover the topic of Java implementations for finance investment applications.' The book sets out to describe the principles of model building in financial engineering and to explain those models as designs for Java-based applications. (C.J.H. Mann, Kybernetes, Vol. 37 (1), 2008)

Author Bio

Phil Barker has considerable experience in both software engineering and in finance and investment having taught courses at the National Alvey HCI centre, a government funded organisation transferring university based research into commercial applications. Prior to this he lectured at Heriot-Watt University where he taught undergraduate and postgraduate courses in computer science and accountancy. His research focused on neural networks and cognitive modelling involving the use of software simulations. He is currently an independent consultant to the financial and investment sector.