Barker | Java Methods for Financial Engineering | Buch | 978-1-84996-932-1 | sack.de

Buch, Englisch, 568 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 867 g

Barker

Java Methods for Financial Engineering

Applications in Finance and Investment
Softcover Nachdruck of hardcover 1. Auflage 2007
ISBN: 978-1-84996-932-1
Verlag: Springer

Applications in Finance and Investment

Buch, Englisch, 568 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 867 g

ISBN: 978-1-84996-932-1
Verlag: Springer


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.

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Zielgruppe


Professional/practitioner


Autoren/Hrsg.


Weitere Infos & Material


Interest Rate Calculations.- Bonds.- Duration.- Futures.- Options.- Modelling Stock Prices.- The Binomial Model.- Analytical Option Pricing Methods.- Sensitivity Measures (The ‘Greeks’).- Interest Rate Derivatives.- Conditional Options.- Complex Conditional Options.- Barrier Type Options.- Double Barrier Options.- Digital Options.- Special Case Barrier Options.- Other Exotics.


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.



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