Ordinary Shares, Exotic Methods: Financial Forecasting Using Data Mining Techniques

Financial Forecasting Using Data Mining Techniques

Lijuan Cao, Lixiang Shen, Eng-hock Francis Tay

• Publisher: World Scientific
• Year: 2003
• Print ISBN: 9789812380753, 9789812380753
• eBook ISBN: 9789812791375
• Topic: Business
• Subtopic: Finance
• Index: Business

Exotic methods refer to specific functions within general soft computing methods such as genetic algorithms, neural networks and rough sets theory. They are applied to ordinary shares for a variety of financial purposes, such as portfolio selection and optimization, classification of market states, forecasting of market states and data mining. This is in contrast to the wide spectrum of work done on exotic financial instruments, wherein advanced mathematics is used to construct financial instruments for hedging risks and for investment.In this book, particular aspects of the general method are used to create interesting applications. For instance, genetic niching produces a family of portfolios for the trader to choose from. Support vector machines, a special form of neural networks, forecast the financial markets; such a forecast is on market states, of which there are three — uptrending, mean reverting and downtrending. A self-organizing map displays in a vivid manner the states of the market. Rough sets with a new discretization method extract information from stock prices.

Table of contents

• Contents
• 1 Financial Forecasting Problem and Data Mining Techniques
• 2 Genetic Algorithms and Genetic Niching
• 3 Portfolio Selection and Optimization Using Genetic Operators
• 4 The Rough Sets Theory Basics and Its Applications in Economic and Financial Forecasting
• 5 Time Series Forecasting using Rough Sets Theory
• 6 A Review of Support Vector Machines in Regression Estimation
• 7 Application of Support Vector Machines in Financial Time Series Forecasting
• 8 Other Methods and Their Applications
• References
• Index