South-East Asian Stock Markets Follow A Non-Random Walk

Are the returns of the major South-East Asian stock markets forecastable? This study resorts to time series models that estimate the current value of a variable solely based on its historical records. Technical analysis that explore, for instance, patterns such as head-and-shoulders are viewed as so...

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Main Authors: Venus, Khim-Sen Liew, Lim, Kian-Ping, Choong, Chee-Keong
Format: Working Paper
Language:en
Published: The Technical Analyst 2004
Subjects:
Online Access:http://ir.unimas.my/id/eprint/29607/1/south.pdf
http://ir.unimas.my/id/eprint/29607/
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author Venus, Khim-Sen Liew
Lim, Kian-Ping
Choong, Chee-Keong
author_facet Venus, Khim-Sen Liew
Lim, Kian-Ping
Choong, Chee-Keong
author_sort Venus, Khim-Sen Liew
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
continent Asia
country Malaysia
description Are the returns of the major South-East Asian stock markets forecastable? This study resorts to time series models that estimate the current value of a variable solely based on its historical records. Technical analysis that explore, for instance, patterns such as head-and-shoulders are viewed as some kinds of non-linearity in the financial time-series. As such, linear and non-linear models are considered in this study, together with the benchmark random walk model for forecastability comparison. Stock market returns of five major South-East Asian countries over the sample period ranges from January 1990 to October 2000 are examined in this study. Two linear and four non-linear models are estimated to generate 1-day, 1-week, 1month, 3-month, 9-month and 1-year forecasts. Results obtained shows that the random walk model ranked last in terns of forecast accuracy performance in all cases. Hence, it can be concluded that these stock market returns follow a non-random walk and are forecastable by time series models.
format Working Paper
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institution Universiti Malaysia Sarawak
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spelling my.unimas.ir-296072021-08-04T03:04:24Z http://ir.unimas.my/id/eprint/29607/ South-East Asian Stock Markets Follow A Non-Random Walk Venus, Khim-Sen Liew Lim, Kian-Ping Choong, Chee-Keong HG Finance Are the returns of the major South-East Asian stock markets forecastable? This study resorts to time series models that estimate the current value of a variable solely based on its historical records. Technical analysis that explore, for instance, patterns such as head-and-shoulders are viewed as some kinds of non-linearity in the financial time-series. As such, linear and non-linear models are considered in this study, together with the benchmark random walk model for forecastability comparison. Stock market returns of five major South-East Asian countries over the sample period ranges from January 1990 to October 2000 are examined in this study. Two linear and four non-linear models are estimated to generate 1-day, 1-week, 1month, 3-month, 9-month and 1-year forecasts. Results obtained shows that the random walk model ranked last in terns of forecast accuracy performance in all cases. Hence, it can be concluded that these stock market returns follow a non-random walk and are forecastable by time series models. The Technical Analyst 2004 Working Paper NonPeerReviewed text en http://ir.unimas.my/id/eprint/29607/1/south.pdf Venus, Khim-Sen Liew and Lim, Kian-Ping and Choong, Chee-Keong (2004) South-East Asian Stock Markets Follow A Non-Random Walk. [Working Paper]
spellingShingle HG Finance
Venus, Khim-Sen Liew
Lim, Kian-Ping
Choong, Chee-Keong
South-East Asian Stock Markets Follow A Non-Random Walk
title South-East Asian Stock Markets Follow A Non-Random Walk
title_full South-East Asian Stock Markets Follow A Non-Random Walk
title_fullStr South-East Asian Stock Markets Follow A Non-Random Walk
title_full_unstemmed South-East Asian Stock Markets Follow A Non-Random Walk
title_short South-East Asian Stock Markets Follow A Non-Random Walk
title_sort south-east asian stock markets follow a non-random walk
topic HG Finance
url http://ir.unimas.my/id/eprint/29607/1/south.pdf
http://ir.unimas.my/id/eprint/29607/
url_provider http://ir.unimas.my/