The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange

Characterization of the stochastic process of stock market indices is vital in understanding the behavior of stock prices. Conventional share valuation models are subject to the nature of inter-temporal dependence between current and past movements. This paper studies the stochastic process of four...

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Main Author: Noor Azlan Ghazali
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 1998
Online Access:http://journalarticle.ukm.my/7978/
http://journalarticle.ukm.my/7978/1/820-1566-1-SM.pdf
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author Noor Azlan Ghazali,
author_facet Noor Azlan Ghazali,
author_sort Noor Azlan Ghazali,
building UKM Institutional Repository
collection Online Access
description Characterization of the stochastic process of stock market indices is vital in understanding the behavior of stock prices. Conventional share valuation models are subject to the nature of inter-temporal dependence between current and past movements. This paper studies the stochastic process of four KLsE indices (Composite Index,Industrial Index, Finatice Index, and Property Index). In addition to the standard unit root tests, the ARFlMA (Autoregressive Fractionally Integrated Moving Average) model which belongs to the class of long memory process is applied in the empirical analysis. The findings indicate that while the level of the indices is nonstationary, its growth rate exhibits stationary properties. Long memory is not supported for the level of the indices but is evidenced in its monthly growth rate. The growth rate of the indices can therefore be characterized as a long memory process that is mean reverting.
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spelling oai:generic.eprints.org:79782016-12-14T06:45:49Z http://journalarticle.ukm.my/7978/ The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange Noor Azlan Ghazali, Characterization of the stochastic process of stock market indices is vital in understanding the behavior of stock prices. Conventional share valuation models are subject to the nature of inter-temporal dependence between current and past movements. This paper studies the stochastic process of four KLsE indices (Composite Index,Industrial Index, Finatice Index, and Property Index). In addition to the standard unit root tests, the ARFlMA (Autoregressive Fractionally Integrated Moving Average) model which belongs to the class of long memory process is applied in the empirical analysis. The findings indicate that while the level of the indices is nonstationary, its growth rate exhibits stationary properties. Long memory is not supported for the level of the indices but is evidenced in its monthly growth rate. The growth rate of the indices can therefore be characterized as a long memory process that is mean reverting. Penerbit Universiti Kebangsaan Malaysia 1998 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7978/1/820-1566-1-SM.pdf Noor Azlan Ghazali, (1998) The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange. Jurnal Pengurusan, 17 . pp. 31-40. ISSN 0127-2713 http://ejournals.ukm.my/pengurusan/issue/view/207
spellingShingle Noor Azlan Ghazali,
The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange
title The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange
title_full The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange
title_fullStr The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange
title_full_unstemmed The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange
title_short The stochastic behavior of stock indices: a test of long memory in the Kuala Lumpur Stock Exchange
title_sort stochastic behavior of stock indices: a test of long memory in the kuala lumpur stock exchange
url http://journalarticle.ukm.my/7978/
http://journalarticle.ukm.my/7978/
http://journalarticle.ukm.my/7978/1/820-1566-1-SM.pdf