Abstract
Previous studies that tested the short-run and long-run effects of exchange rate changes on trade balances assumed that the effects are symmetric. The more recent research direction has now changed to investigating the possibility of asymmetric effects. In this paper, we assess the short-run and long-run effects of exchange rate changes on the bilateral trade balances of Singapore with her 11 partners. By applying the nonlinear ARDL approach, which separates appreciations from depreciations, we find that exchange rate changes have short-run asymmetric effects in most models. The short-run effects, however, lasted into the long run in a few models. In the long run, while depreciation improves Singapore’s trade balance with the U.S., it hurts it with Malaysia and China. These three partners account for almost 50 % of Singapore’s trade.
Appendix. Data definition and sources
Quarterly data over the period 1975QI-2015QII are used to carry out the empirical analysis. They come from the following sources:
Direction of Trade Statistics by the IMF.
International Financial statistics (IFS)
Monetary Authority of Singapore (Central Bank of Singapore)
Due to the unavailability of data on some variables, however, the period was restricted to 2003–2015 for Indonesia, 1981–2015 for the Philippines, 1993–2015 for Thailand, 1981–2015 for Hong Kong, and 1996–2015 for China.
Variables
TBi = Singapore trade balance with partner i is defined as Singapore’s imports from partner i over her exports to partner i. The data come from source a.
YSG = Measure of Singapore’s income. It is proxied by index of real GDP. The data come from source b.
Yi = Trading partner i’s income. This is also proxied by the index of real GDP in country i and the data come from source b.
REXi = The real bilateral exchange rate of the Singapore dollar against the currency of partner i. It is defined as REXi = (PSG * NEXi/Pi) where NEXi is the nominal exchange rate defined as number of units of partner i’s currency per Singapore dollar, PSG is the price level in Singapore. (measured by CPI) and Pi is the price level in country i (also measured by CPI). Thus, a decline in REX reflects a real depreciation of the Singapore dollar. All the nominal exchange rates and price levels data come from source b.
Singapore’s Trade Shares with Her Trading Partners in the Last Quarter of 2015 (Source a)
Trading Partner | Exports | Imports | Trade Share (%) |
---|---|---|---|
Australia | 2,828,248,252.91 | 707,746,859.76 | 2.3% |
China | 12,509,798,749.31 | 11,007,951,521.13 | 15.1 % |
Hong Kong | 9,921,233,717.03 | 762,258,721.41 | 6.8% |
Indonesia | 6,515,810,115.26 | 3,358,497,039.99 | 6.3% |
Japan | 3,988,977,708.47 | 4,571,484,171.38 | 5.5 % |
Malaysia | 9,029,167,629.95 | 7,907,313,270.98 | 10.9 % |
Philippines | 1,686,891,208.33 | 1,158,149,357.89 | 1.8% |
South Korea | 3,277,919,772.55 | 4,324,449,285.77 | 4.9 % |
Thailand | 3,358,346,598.40 | 1,773,515,734.28 | 3.3 % |
United Kingdom | 966,455,372.44 | 1,464,436,873.18 | 1.6 % |
United States | 5,906,540,026.70 | 8,252,477,901.30 | 9.1 % |
World | 84,637,867,323.75 | 71,442,649,626.07 | 156,080,516,949.82 |
Trade share is defined as the sum of the exports and imports of each partner as a % of the sum of Singapore’s total exports and imports.
References
Aftab, M., R. Ahmad, I. Ismail, and M. Ahmed. 2017. “Exchange Rate Volatility and Malaysian-Thai Bilateral Industry Trade Flows.” Journal of Economic Studies 44: 99–114.10.1108/JES-05-2015-0091Search in Google Scholar
Al-Shayeb, A., and A. Hatemi-J. 2016. “Trade Openness and Economic Development in the UAE: An Asymmetric Approach.” Journal of Economic Studies 43: 587–597.10.1108/JES-06-2015-0094Search in Google Scholar
Apergis, N., and S. Miller. 2006. “Consumption Asymmetry and the Stock Market: Empirical Evidence.” Economics Letters 93: 337–342.10.1016/j.econlet.2006.06.002Search in Google Scholar
Arize, A. C., J. Malindretos, and E. U. Igwe. 2017. “Do Exchange Rate Changes Improve the Trade Balance: An Asymmetric Nonlinear Cointegration Approach.” International Review of Economics and Finance 49: 313–326.10.1016/j.iref.2017.02.007Search in Google Scholar
Baghestani, H., and S. Kherfi. 2015. “An Error-Correction Modeling of US Consumer Spending: Are There Asymmetries?” Journal of Economic Studies 42: 1078–1094.10.1108/JES-04-2014-0065Search in Google Scholar
Bahmani-Oskooee, M., and H. Fariditavana. 2015. “Nonlinear ARDL Approach, Asymmetric Effects and the J-Curve.” Journal of Economic Studies 42: 519–530.10.1108/JES-03-2015-0042Search in Google Scholar
Bahmani-Oskooee, M., and H. Fariditavana. 2016. “Nonlinear ARDL Approach and the J-Curve Phenomenon.” Open Economies Review 27: 51–70.10.1007/s11079-015-9369-5Search in Google Scholar
Bahmani-Oskooee, M., F. Halicioglu, and S. Hegerty. 2016. “Mexican Bilateral Trade and the J-Curve: An Application of the Nonlinear ARDL Model.” Economic Analysis and Policy 50: 23–40.10.1016/j.eap.2016.02.003Search in Google Scholar
Bahmani-Oskooee, M., and H. Harvey. 2012. “J-Curve: Singapore Vs. Her Trading Partners.” Eonomic Papers 31: 515–522.10.1111/1759-3441.12006Search in Google Scholar
Bahmani-Oskooee, M., H. Harvey, and S. Hegerty. 2013. “Empirical Tests of the Marshall-Lerner Condition: A Literature Review.” Journal of Economic Studies 40: 411–443.10.1108/01443581311283989Search in Google Scholar
Bahmani-Oskooee, M., and S. Hegerty. 2010. “The J- and S-Curves: A Survey of the Recent Literature.” Journal of Economic Studies 37: 580–596.10.1108/01443581011086639Search in Google Scholar
Bahmani-Oskooee, M., and A. Ratha. 2004. “The J-Curve: A Literature Review.” Applied Economics 36: 1377–1398.10.1080/0003684042000201794Search in Google Scholar
Bahmani-Oskooee, M 1985. “Devaluation and the J-Curve: Some Evidence from LDCs.” The Review of Economics and Statistics 67: 500–504.10.2307/1925980Search in Google Scholar
Bahmani-Oskooee, M 1986. “Determinants of International Trade Flows: Case of Developing Countries.” Journal of Development Economics 20: 107–123.10.1016/0304-3878(86)90007-6Search in Google Scholar
Bahmani-Oskooee, M 1989. “Devaluation and the J-Curve: Some Evidence from LDCs, Errata.” The Review of Economics and Statistics 71: 553–554.10.2307/1926918Search in Google Scholar
Bahmani-Oskooee, M 1991. “Is There a Long-Run Relation between the Trade Balance and the Real Effective Exchange Rate of LDCs?” Economics Letters 36: 403–407.10.1016/0165-1765(91)90206-ZSearch in Google Scholar
Bahmani-Oskooee, M., and J. Alse. 1994. “Short-Run versus Long-Run Effects of Devaluation: Error-Correction Modeling and Cointegration.” Eastern Economic Journal 20: 453–464.Search in Google Scholar
Banerjee, A., J. Dolado, and R. Mestre. 1998. “Error-Correction Mechanism Tests in a Single Equation Framework.” Journal of Time Series Analysis 19: 267–285.10.1111/1467-9892.00091Search in Google Scholar
Bussiere, M 2013. “Exchange Rate Pass-Through to Trade Prices: The Role of Nonlinearities and Asymmetries.” Oxford Bulletin of Economics and Statistics 75: 731–758.10.1111/j.1468-0084.2012.00711.xSearch in Google Scholar
Delatte, A.-L., and A. Lopez-Villavicencio. 2012. “Asymmetric Responses of Prices to Exchange Rate Variations. Evidence from the G7 Countries.” Journal of Macroeconomics 34: 833–844.10.1016/j.jmacro.2012.03.003Search in Google Scholar
Durmaz, N 2015. “Industry Level J-Curve in Turkey.” Journal of Economic Studies 42: 689–706.10.1108/JES-08-2013-0122Search in Google Scholar
Engle, R. F., and C. W. J. Granger. 1987. “Cointegration and Error Correction: Representation, Estimation, and Testing.” Econometrica 55 (2): 251–276.10.2307/1913236Search in Google Scholar
Gogas, P., and I. Pragidis. 2015. “Are There Asymmetries in Fiscal Policy Shocks?” Journal of Economic Studies 42: 303–321.10.1108/JES-04-2013-0059Search in Google Scholar
Gregoriou, A 2017. “Modelling Non-Linear Behaviour of Block Price Deviations When Trades are Executed outside the Bid-Ask Quotes.” Journal of Economic Studies 44: 206–213.10.1108/JES-03-2016-0050Search in Google Scholar
Gregoriou, A., J. Healy, and N. Savvides. 2014. “Market Efficiency and the Basis in the European Union Emissions Trading Scheme: New Evidence from Non Linear Mean Reverting Unit Root Tests.” Journal of Economic Studies 41: 615–628.10.1108/JES-08-2012-0120Search in Google Scholar
Hajilee, M., and O. M. Al-Nasser. 2014. “Exchange Rate Volatility and Stock Market Development in Emerging Economies.” Journal of Post Keynesian Economics 37: 163–180.10.2753/PKE0160-3477370110Search in Google Scholar
Halicioglu, F 2007. “The J-Curve Dynamics of Turkish Bilateral Trade: A Cointegration Approach.” Journal of Economic Studies 34: 103–119.10.1108/01443580710745362Search in Google Scholar
Lal, A. K., and T. C. Lowinger. 2002. “The J-Curve: Evidence from East Asia.” Journal of Economic Integration 17: 397–415.10.11130/jei.2002.17.2.397Search in Google Scholar
Lima, L., C. Foffano Vasconcelos, J. Simão, and H. De Mendonça. 2016. “The Quantitative Easing Effect on the Stock Market of the USA, the UK and Japan: An ARDL Approach for the Crisis Period.” Journal of Economic Studies 43: 1006–1021.10.1108/JES-05-2015-0081Search in Google Scholar
Magee, S. P 1973. “Currency Contracts, Pass through and Devaluation.” Brooking Papers on Economic Activity 1: 303–325.10.2307/2534091Search in Google Scholar
McFarlane, A., A. Das, and M. Chowdhury. 2014. “Non-Linear Dynamics of Employment, Output and Real Wages in Canada: Recent Time Series Evidence.” Journal of Economic Studies 41: 554–568.10.1108/JES-02-2013-0022Search in Google Scholar
Nusair, S. A 2017. “The J-Curve Phenomenon in European Transition Economies: A Nonliear ARDL Approach.” International Review of Applied Economics 31: 1–27.10.1080/02692171.2016.1214109Search in Google Scholar
Pesaran, M. H., Y. Shin, and R. J. Smith. 2001. “Bound Testing Approaches to the Analysis of Level Relationship.” Journal of Applied Econometrics 16: 289–326.10.1002/jae.616Search in Google Scholar
Rose, A. K., and J. L. Yellen. 1989. “Is There a J-Curve?” Journal of Monetary Economics 24: 53–68.10.1016/0304-3932(89)90016-0Search in Google Scholar
Shin, Y., B. Yu, and M. Greenwood-Nimmo. 2014. “Modelling Asymmetric Cointegration and Dynamic Multipliers in a Nonlinear ARDL Framework.”. In Sickels, R., and W. Horrace (Eds.), Festschrift in Honor of Peter Schmidt: Econometric Methods and Applications. 281–314. New York, NY: Springer.10.1007/978-1-4899-8008-3_9Search in Google Scholar
Verheyen, F 2013. “Interest Rate Pass-Through in the EMU: New Evidence Using Nonlinear ARDL Framework.” Economics Bulletin 33: 729–739.Search in Google Scholar
Wilson, P 2001. “Exchange Rates and the Trade Balance for Dynamic Asian Economies-Does the J-Curve Exist for Singapore, Malaysia and Korea?” Open Economies Review 12: 389–413.10.1023/A:1017982901034Search in Google Scholar
Wimanda, R. E 2014. “Threshold Effects of Exchange Rate Depreciation and Money Growth on Inflation: Evidence from Indonesia.” Journal of Economic Studies 42: 196–215.10.1108/JES-02-2012-0011Search in Google Scholar
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- The Asymmetric Effects of Exchange Rate Changes on the Trade Balance of Singapore
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Articles in the same Issue
- Analyzing Trade Growth Effects of Deviations from Long-run Economic Growth
- The Asymmetric Effects of Exchange Rate Changes on the Trade Balance of Singapore
- Economic Freedom and the Informal Economy
- Sustainability of Current Account Deficits in the OECD Countries: Evidence from Panel Data Estimators
- The Anatomy of Trade Deflection
- An Empirical Analysis of Aggregate Import Demand Function for India
- Russia and the Use of Trade Policy: Concentration with Soviet Successor States
- The Comparative Advantages in the Services Sector of Developing Economies