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Other titles in the Springer Professional Computing series:
Java Methods for Financial Engineering (Springer Professional Computing)by Philip Barker
Synopses & Reviews
This book is structured around the main theories and models used by practitioners to engineer finance and investment tools. The methods developed and implemented in the text are organized as chapters which cover the core areas. Each chapter is largely self-contained, thus the practitioner or student can conveniently focus on a defined tool and have immediate access to an implemented solution. Those engaged in the design and evaluation of new products will find the quick access to a wide range of robust core methods invaluable in constructing bespoke implementations. With the pervasiveness and rapid pace of advancement in Web based technologies, it is now a given that any commercially useful computational tool is able to make an effective and efficient use of Web based platforms. Java is the language of choice for developing highly efficient Web based applications. All of the methods in this book are written in Java and use is made of the fully optimised Java Collections for data manipulation. For practitioners and students alike who are still working with legacy C++ or Visual Basic implementations, this book will serve as an excellent reference for translating or porting their applications into a Web centric environment. Phil Barker followed an academic career for many years , holding a lectureship in Computer Science at Heriot-Watt University, Edinburgh where he led undergraduate degree and postgraduate master's courses in Computer Science and Accountancy. He has a considerable depth of commercial experience having directed research, technical and operations functions within technology based companies serving blue chips in finance, investment and banking. He is currently CEO of BWA Technologies Ltd a company specializing in the development of investment and risk management software.
In order to build a successful, Java-based, business application using investment and financial techniques it is important to have a clear understanding of all the necessary methods required to create software implementations of the calculations and data manipulations commonly used. This book describes all the numerical methods and shows how to implement them as Java classes, before going on to develop application classes covering a range of key areas in finance and investment computation.
A series of 'black box' packaged libraries for computation of business classes at the application level are presented and these can be used, modified of re-used without the need to look into the base mathematics. The core mathematical classes are also explained and developed in a separate class package for those who need more detail of the 'box' before implementation. These classes can also be used and extended to provide specialist applications for a whole range of appropriate tools.
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
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.
This book is for practitioners who are building Java based business applications involving the use of investment & finance techniques. It covers all the necessary methods needed to create a software implementation of calculations & data manipulations most widely used in the finance & investment field. Features include: * Explanation of the fundamental numerical methods & algorithms in a form that non-mathematical specialists can use * A comprehensive set of ready-to-use software classes for investment & finance applications * Contains a wide range of numerical classes that financial software engineers can combine to provide unique software solutions. * Provides a series of packaged Java classes containing statistical, numerical & business application methods in a form that practitioners can make immediate use of. Guide to Java Methods for Finance & Investment is a practice-based book covering all the appropriate numerical and application code needed to carry out web-based investment & finance business applications.
About the Author
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.
Table of Contents
Introduction.- Part 1: Application Classes.- Portfolio Analysis.- Portfolio Performance.- Derivative Futures & Swaps.- Derivative Options.- Pricing Methods for Options.- Mortgage Based Securities.- Part 2: Core Classes.- Functions.- Interpolation and Extrapolation.- Roots of a Function.- Series Integration of Functions.- Linear Algebra.- Part 3: Statistical Classes.- Statistical Measures.- Statistical Distributions and Functions.- Statistical Analysis.
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