Neural Networks and the Financial Markets
Title | Neural Networks and the Financial Markets PDF eBook |
Author | Jimmy Shadbolt |
Publisher | Springer Science & Business Media |
Pages | 266 |
Release | 2012-12-06 |
Genre | Computers |
ISBN | 1447101510 |
This volume looks at financial prediction from a broad range of perspectives. It covers: - the economic arguments - the practicalities of the markets - how predictions are used - how predictions are made - how predictions are turned into something usable (asset locations) It combines a discussion of standard theory with state-of-the-art material on a wide range of information processing techniques as applied to cutting-edge financial problems. All the techniques are demonstrated with real examples using actual market data, and show that it is possible to extract information from very noisy, sparse data sets. Aimed primarily at researchers in financial prediction, time series analysis and information processing, this book will also be of interest to quantitative fund managers and other professionals involved in financial prediction.
Neural Networks in Finance
Title | Neural Networks in Finance PDF eBook |
Author | Paul D. McNelis |
Publisher | Academic Press |
Pages | 262 |
Release | 2005-01-05 |
Genre | Business & Economics |
ISBN | 0124859674 |
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
Neural Network Solutions for Trading in Financial Markets
Title | Neural Network Solutions for Trading in Financial Markets PDF eBook |
Author | Dirk Emma Baestaens |
Publisher | Pitman Publishing |
Pages | 274 |
Release | 1994 |
Genre | Business & Economics |
ISBN |
Offers an alternative technique in forecasting to the traditional techniques used in trading and dealing. The book explains the shortcomings of traditional techniques and shows how neural networks overcome many of the disadvantages of these traditional systems.
Neural Networks in Finance and Investing
Title | Neural Networks in Finance and Investing PDF eBook |
Author | Robert R. Trippi |
Publisher | Irwin Professional Publishing |
Pages | 872 |
Release | 1996 |
Genre | Business & Economics |
ISBN |
This completely updated version of the classic first edition offers a wealth of new material reflecting the latest developments in teh field. For investment professionals seeking to maximize this exciting new technology, this handbook is the definitive information source.
Artificial Neural Networks in Finance and Manufacturing
Title | Artificial Neural Networks in Finance and Manufacturing PDF eBook |
Author | Kamruzzaman, Joarder |
Publisher | IGI Global |
Pages | 299 |
Release | 2006-03-31 |
Genre | Computers |
ISBN | 1591406722 |
"This book presents a variety of practical applications of neural networks in two important domains of economic activity: finance and manufacturing"--Provided by publisher.
Neural Network Time Series
Title | Neural Network Time Series PDF eBook |
Author | E. Michael Azoff |
Publisher | |
Pages | 224 |
Release | 1994-09-27 |
Genre | Business & Economics |
ISBN |
Comprehensively specified benchmarks are provided (including weight values), drawn from time series examples in chaos theory and financial futures. The book covers data preprocessing, random walk theory, trading systems and risk analysis. It also provides a literature review, a tutorial on backpropagation, and a chapter on further reading and software.
Financial Prediction Using Neural Networks
Title | Financial Prediction Using Neural Networks PDF eBook |
Author | Joseph S. Zirilli |
Publisher | |
Pages | 168 |
Release | 1997 |
Genre | Business & Economics |
ISBN |
Focusing on approaches to performing trend analysis through the use of neural nets, this book comparess the results of experiments on various types of markets, and includes a review of current work in the area. It appeals to students in both neural computing and finance as well as to financial analysts and academic and professional researchers in the field of neural network applications.