Neural Networks in Finance :Gaining Predictive Edge in the Market ( Academic Press Advanced Finance )

Publication subTitle :Gaining Predictive Edge in the Market

Publication series :Academic Press Advanced Finance

Author: McNelis   Paul D.  

Publisher: Elsevier Science‎

Publication year: 2005

E-ISBN: 9780080479651

P-ISBN(Paperback): 9780124859678

P-ISBN(Hardback):  9780124859678

Subject: F830.49 modernization management

Language: ENG

Access to resources Favorite

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Description

This book explores the intuitive appeal of neural networks and the genetic algorithm in finance. It demonstrates how neural networks used in combination with evolutionary computation outperform classical econometric methods for accuracy in forecasting, classification and dimensionality reduction.

McNelis utilizes a variety of examples, from forecasting automobile production and corporate bond spread, to inflation and deflation processes in Hong Kong and Japan, to credit card default in Germany to bank failures in Texas, to cap-floor volatilities in New York and Hong Kong.

* Offers a balanced, critical review of the neural network methods and genetic algorithms used in finance
* Includes numerous examples and applications
* Numerical illustrations use MATLAB code and the book is accompanied by a website

Chapter

Front cover

pp.:  1 – 4

Title page

pp.:  4 – 5

Copyright page

pp.:  5 – 6

Table of contents

pp.:  6 – 18

1 Introduction

pp.:  18 – 28

Part I Econometric Foundations

pp.:  28 – 130

Part II Applications and Examples

pp.:  130 – 238

Bibliography

pp.:  238 – 250

Index

pp.:  250 – 262

The users who browse this book also browse


No browse record.