Is there a J-curve between Malaysia and her trading partners? evidence from ARDL test and industry level data
The J-curve of a trade balance is a phenomenon whereby a trade balance initially worsens following a currency depreciation and improves afterwards. Many scholars examined the relationship between depreciation of a currency and the trade balance of that country. Most prior works employed aggregation...
| Main Author: | |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English English English |
| Published: |
2018
|
| Subjects: | |
| Online Access: | http://irep.iium.edu.my/67885/ http://irep.iium.edu.my/67885/1/Mystats%202018%20-%20Dr%20Azhar%20Mohamad%20IIUM.pdf http://irep.iium.edu.my/67885/2/MyStats%202018%20program%20book%20front%20cover.JPG http://irep.iium.edu.my/67885/3/MyStats%202018%20presentation%20schedule.JPG |
| Summary: | The J-curve of a trade balance is a phenomenon whereby a trade balance initially worsens following a currency depreciation and improves afterwards. Many scholars examined the relationship between depreciation of a currency and the trade balance of that country. Most prior works employed aggregation of data, leading to mixed results due to inherent aggregation bias. To overcome this problem, later studies used disaggregation of data. This paper empirically tests for the existence of J-curve effects between Malaysia and her top five trading partners, with a view to differentiate between the short-run and the long-run effects of the J-curve on trade balance. Employing linear and non-linear ARDL bound testing approaches for cointegration and error-correction modelling of quarterly data for the period 2001-2015, we find evidence of J-curve effects in certain industries for Malaysia-Japan and Malaysia-UK cases from linear model and comparatively stronger evidence of J-curve for Malaysia-US cases from non-linear model. Asymmetry of pronounced effects in the short and long run are also documented.
** We thank Puan Ummi Kalsum Bt Mohamad ummi@stats.gov.my), Balance of Payment Statistics Div, DOSM for helping us with the data. |
|---|