In search of a unified model for prediction of stock prices.

The objective of this study is to model a stock market index in Singapore as a function of major macroeconomic variables and past index values, with the aim of predicting stock market movements more accurately by combining fundamental and technical analyses. The study draws on the theoretical models...

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Main Author: Kan, Andrew Mun Kit.
Other Authors: Yeo, Gillian Hian Heng
Format: Theses and Dissertations
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/20102
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-201022024-01-12T10:14:30Z In search of a unified model for prediction of stock prices. Kan, Andrew Mun Kit. Yeo, Gillian Hian Heng Nanyang Business School DRNTU::Business::Finance::Equity The objective of this study is to model a stock market index in Singapore as a function of major macroeconomic variables and past index values, with the aim of predicting stock market movements more accurately by combining fundamental and technical analyses. The study draws on the theoretical models and empirical results of Chen et al. (1986), Cheng et al. (1990), and Larrain (1991), a theoretical framework which integrates the arbitrage pricing theory, noise trading, and chaos theory. Master of Business Administration (Banking & Finance) 2009-12-14T08:17:13Z 2009-12-14T08:17:13Z 1995 1995 Thesis http://hdl.handle.net/10356/20102 en NANYANG TECHNOLOGICAL UNIVERSITY 86 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Business::Finance::Equity
spellingShingle DRNTU::Business::Finance::Equity
Kan, Andrew Mun Kit.
In search of a unified model for prediction of stock prices.
description The objective of this study is to model a stock market index in Singapore as a function of major macroeconomic variables and past index values, with the aim of predicting stock market movements more accurately by combining fundamental and technical analyses. The study draws on the theoretical models and empirical results of Chen et al. (1986), Cheng et al. (1990), and Larrain (1991), a theoretical framework which integrates the arbitrage pricing theory, noise trading, and chaos theory.
author2 Yeo, Gillian Hian Heng
author_facet Yeo, Gillian Hian Heng
Kan, Andrew Mun Kit.
format Theses and Dissertations
author Kan, Andrew Mun Kit.
author_sort Kan, Andrew Mun Kit.
title In search of a unified model for prediction of stock prices.
title_short In search of a unified model for prediction of stock prices.
title_full In search of a unified model for prediction of stock prices.
title_fullStr In search of a unified model for prediction of stock prices.
title_full_unstemmed In search of a unified model for prediction of stock prices.
title_sort in search of a unified model for prediction of stock prices.
publishDate 2009
url http://hdl.handle.net/10356/20102
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