Barker | Java Methods for Financial Engineering | Buch | 978-1-85233-832-9 | sack.de

Buch, Englisch, 568 Seiten, Format (B × H): 162 mm x 245 mm, Gewicht: 1027 g

Barker

Java Methods for Financial Engineering

Applications in Finance and Investment

Buch, Englisch, 568 Seiten, Format (B × H): 162 mm x 245 mm, Gewicht: 1027 g

ISBN: 978-1-85233-832-9
Verlag: Springer


In order to build a successful, Java-based application it is important to have a clear understanding of the principles underlying the various financial models. Those models guide the application designer in choosing the most appropriate Java data structures and implementation strategy. This book describes the principles of model building in financial engineering and explains those models as designs and working implementations for Java-based applications.

Throughout the book a series of packaged classes are developed to address a wide range of financial applications. Java methods are designed and implemented based on the most widely used models in financial engineering and investment practice. The classes and methods are explained and designed in a way which allows the financial engineer complete flexibility. The classes can be used as off-the-shelf working solutions or the innovative developer can re-arrange and modify methods to create new products
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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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