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(ebook - Business - Trading) Thesis Using Neural Networks and Genetic Algorithms to Predict Stock Market Returns.pdf

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(ebook - Business - Trading) Thesis Using Neural Networks and Genetic Algorithms to Predict Stock Market Returns.pdf

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(ebook - Business - Trading) Thesis Using Neural Networks and Genetic Algorithms to Predict Stock Market Returns.pdf

文档介绍

文档介绍:USING WORKS AND IC
ALGORITHMS TO PREDICT STOCK MARKET RETURNS







A THESIS SUBMITTED TO THE UNIVERSITY OF MANCHESTER
FOR THE DEGREE OF MASTER OF SCIENCE
IN PUTER SCIENCE
IN THE FACULTY OF SCIENCE AND ENGINEERING










By
Efstathios Kalyvas
Department puter Science
October 2001
Contents




Abstract 6
Declaration 7
Copyright and Ownership 8
Acknowledgments 9

1 Introduction 11

Aims and Objectives........................................................................................ 11
Rationale......................................................................................................... 12
Stock Market Prediction.................................................................................. 12
of the Study................................................................................ 13

2 Stock Markets and Prediction 15

The Stock Market ............................................................................................ 15
Investment Theories..................................................................................... 15
Data Related to the Market.......................................................................... 16
Prediction of the Market.................................................................................. 17
Defining the prediction task......................................................................... 17
Is the Market predictable?........................................................................... 18
Prediction Methods ..................................................................................... 19
Technical Analysis............................................................................... 20
Fundamental Analysis ....................................................................