Predictive modelling of stock index by means of data mining techniques

This study examines the value of technical, financial and macroeconomic variables in stock index prediction. In tandem, it also assesses the applicability of multiple regression and two data mining techniques: decision trees and artificial neural networks to develop prediction models for the purpose...

Full description

Saved in:
Bibliographic Details
Main Authors: Foong, Kar Seng, Han, Alex Wei, Yang, Kevin Zhi Rong
Other Authors: Koh, Hian Chye
Format: Final Year Project
Published: 2008
Subjects:
Online Access:http://hdl.handle.net/10356/9659
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
id sg-ntu-dr.10356-9659
record_format dspace
spelling sg-ntu-dr.10356-96592023-05-19T06:16:17Z Predictive modelling of stock index by means of data mining techniques Foong, Kar Seng Han, Alex Wei Yang, Kevin Zhi Rong Koh, Hian Chye Nanyang Business School DRNTU::Business::Finance::Equity This study examines the value of technical, financial and macroeconomic variables in stock index prediction. In tandem, it also assesses the applicability of multiple regression and two data mining techniques: decision trees and artificial neural networks to develop prediction models for the purpose of forecasting the stock index. 2008-09-24T07:34:48Z 2008-09-24T07:34:48Z 2005 2005 Final Year Project (FYP) http://hdl.handle.net/10356/9659 Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
topic DRNTU::Business::Finance::Equity
spellingShingle DRNTU::Business::Finance::Equity
Foong, Kar Seng
Han, Alex Wei
Yang, Kevin Zhi Rong
Predictive modelling of stock index by means of data mining techniques
description This study examines the value of technical, financial and macroeconomic variables in stock index prediction. In tandem, it also assesses the applicability of multiple regression and two data mining techniques: decision trees and artificial neural networks to develop prediction models for the purpose of forecasting the stock index.
author2 Koh, Hian Chye
author_facet Koh, Hian Chye
Foong, Kar Seng
Han, Alex Wei
Yang, Kevin Zhi Rong
format Final Year Project
author Foong, Kar Seng
Han, Alex Wei
Yang, Kevin Zhi Rong
author_sort Foong, Kar Seng
title Predictive modelling of stock index by means of data mining techniques
title_short Predictive modelling of stock index by means of data mining techniques
title_full Predictive modelling of stock index by means of data mining techniques
title_fullStr Predictive modelling of stock index by means of data mining techniques
title_full_unstemmed Predictive modelling of stock index by means of data mining techniques
title_sort predictive modelling of stock index by means of data mining techniques
publishDate 2008
url http://hdl.handle.net/10356/9659
_version_ 1770566763509972992