Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa Malaysia

This paper examines the cointegration between sectoral indices in Bursa Malaysia and the selected macroeconomic variables, namely, oil price (OP), gold price (GP), and exchange rate (ER), during the period 1995- 2014. The underlying series are tested by using Unit Root Test, Johansen Cointegra...

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Main Authors: Jaafar Pyeman, Ismail Ahmad
Format: Article
Language:Arabic
Published: Universiti Sultan Azlan Shah 2017-06-01
Series:Global Journal Al-Thaqafah
Subjects:
Online Access:http://www.gjat.my/gjat062017/12320170701.pdf
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author Jaafar Pyeman
Ismail Ahmad
author_facet Jaafar Pyeman
Ismail Ahmad
author_sort Jaafar Pyeman
collection DOAJ
description This paper examines the cointegration between sectoral indices in Bursa Malaysia and the selected macroeconomic variables, namely, oil price (OP), gold price (GP), and exchange rate (ER), during the period 1995- 2014. The underlying series are tested by using Unit Root Test, Johansen Cointegration, Vector Error Correction Model (VECM) and Vector Autoregression (VAR). The results indicate that sectoral indices, specifically in technology sector, have long run cointegration with macroeconomic variable as resulted from the analysis of Johansen-Juselius (1990), Multivariate Cointegration and Vector Error Correction Model. Meanwhile, the short run cointegration between macroeconomic variable and several sectoral indices have also been observed in Bursa Malaysia.
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spelling doaj.art-92355bccae464c33bc8566e6a2c1d3cf2022-12-21T17:44:17ZaraUniversiti Sultan Azlan ShahGlobal Journal Al-Thaqafah2232-04742232-04822017-06-0171192710.7187/GJAT12320170701Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa MalaysiaJaafar Pyeman0Ismail Ahmad1Universiti Teknologi MARA, MalaysiaUniversiti Teknologi MARA, MalaysiaThis paper examines the cointegration between sectoral indices in Bursa Malaysia and the selected macroeconomic variables, namely, oil price (OP), gold price (GP), and exchange rate (ER), during the period 1995- 2014. The underlying series are tested by using Unit Root Test, Johansen Cointegration, Vector Error Correction Model (VECM) and Vector Autoregression (VAR). The results indicate that sectoral indices, specifically in technology sector, have long run cointegration with macroeconomic variable as resulted from the analysis of Johansen-Juselius (1990), Multivariate Cointegration and Vector Error Correction Model. Meanwhile, the short run cointegration between macroeconomic variable and several sectoral indices have also been observed in Bursa Malaysia.http://www.gjat.my/gjat062017/12320170701.pdfVector Error Correction Model;Vector Autoregression ModelMacroeconomic VariableSectoral Indices
spellingShingle Jaafar Pyeman
Ismail Ahmad
Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa Malaysia
Global Journal Al-Thaqafah
Vector Error Correction Model
;Vector Autoregression Model
Macroeconomic Variable
Sectoral Indices
title Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa Malaysia
title_full Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa Malaysia
title_fullStr Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa Malaysia
title_full_unstemmed Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa Malaysia
title_short Cointegration Between Macroeconomic Variables and Sectoral Indices Movement in Bursa Malaysia
title_sort cointegration between macroeconomic variables and sectoral indices movement in bursa malaysia
topic Vector Error Correction Model
;Vector Autoregression Model
Macroeconomic Variable
Sectoral Indices
url http://www.gjat.my/gjat062017/12320170701.pdf
work_keys_str_mv AT jaafarpyeman cointegrationbetweenmacroeconomicvariablesandsectoralindicesmovementinbursamalaysia
AT ismailahmad cointegrationbetweenmacroeconomicvariablesandsectoralindicesmovementinbursamalaysia