Forecasting inflation in Malaysia
This paper aims to identify the best indicator in forecasting inflation in Malaysia. In methodology, the study constructs a simple forecasting model that incorporates the indicator/variable using the vector error correction (VECM) model of quasi-tradable inflation index and selected indicators: c...
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iium-38592012-05-08T03:26:17Z http://irep.iium.edu.my/3859/ Forecasting inflation in Malaysia Duasa, Jarita Ahmad, Nursilah Ibrahim, Mansor Zainal, Mohd Pisal HA Statistics HB Economic Theory This paper aims to identify the best indicator in forecasting inflation in Malaysia. In methodology, the study constructs a simple forecasting model that incorporates the indicator/variable using the vector error correction (VECM) model of quasi-tradable inflation index and selected indicators: commodity prices, financial indicators and economic activities. For each indicator, the forecasting horizon used is 24 months and the VECM model is applied for seven sample windows over sample periods starting with the first month of 1980 and ending with the 12th month of every 2 years from 1992 to 2004. The degree of independence of each indicator from inflation is tested by analyzing the variance decomposition of each indicator and Granger causality between each indicator and inflation. We propose that a simple model using an aggregation of indices improves the accuracy of inflation forecasts. The results support our hypothesis. Wiley Online Library 2010-08-22 Article PeerReviewed application/pdf en http://irep.iium.edu.my/3859/1/FOR_1154_Rev_EV.pdf application/pdf en http://irep.iium.edu.my/3859/4/forecasting_inflation.pdf Duasa, Jarita and Ahmad, Nursilah and Ibrahim, Mansor and Zainal, Mohd Pisal (2010) Forecasting inflation in Malaysia. Journal of Forecasting, 29 (6). pp. 573-594. ISSN 1099-131X http://onlinelibrary.wiley.com/doi/10.1002/for.1154/abstract doi: 10.1002/for.1154 |
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International Islamic University Malaysia |
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English English |
topic |
HA Statistics HB Economic Theory |
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HA Statistics HB Economic Theory Duasa, Jarita Ahmad, Nursilah Ibrahim, Mansor Zainal, Mohd Pisal Forecasting inflation in Malaysia |
description |
This paper aims to identify the best indicator in forecasting inflation in
Malaysia. In methodology, the study constructs a simple forecasting model that
incorporates the indicator/variable using the vector error correction (VECM)
model of quasi-tradable inflation index and selected indicators: commodity
prices, financial indicators and economic activities. For each indicator, the
forecasting horizon used is 24 months and the VECM model is applied for
seven sample windows over sample periods starting with the first month of
1980 and ending with the 12th month of every 2 years from 1992 to 2004. The
degree of independence of each indicator from inflation is tested by analyzing
the variance decomposition of each indicator and Granger causality between
each indicator and inflation. We propose that a simple model using an aggregation
of indices improves the accuracy of inflation forecasts. The results support
our hypothesis. |
format |
Article |
author |
Duasa, Jarita Ahmad, Nursilah Ibrahim, Mansor Zainal, Mohd Pisal |
author_facet |
Duasa, Jarita Ahmad, Nursilah Ibrahim, Mansor Zainal, Mohd Pisal |
author_sort |
Duasa, Jarita |
title |
Forecasting inflation in Malaysia |
title_short |
Forecasting inflation in Malaysia |
title_full |
Forecasting inflation in Malaysia |
title_fullStr |
Forecasting inflation in Malaysia |
title_full_unstemmed |
Forecasting inflation in Malaysia |
title_sort |
forecasting inflation in malaysia |
publisher |
Wiley Online Library |
publishDate |
2010 |
url |
http://irep.iium.edu.my/3859/ http://irep.iium.edu.my/3859/ http://irep.iium.edu.my/3859/ http://irep.iium.edu.my/3859/1/FOR_1154_Rev_EV.pdf http://irep.iium.edu.my/3859/4/forecasting_inflation.pdf |
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2023-09-18T20:11:50Z |
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2023-09-18T20:11:50Z |
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