IDEAS home Printed from https://ideas.repec.org/p/pra/mprapa/91509.html
   My bibliography  Save this paper

Exchange rate and trade balance linkage: evidence from Malaysia based on ARDL and NARDL

Author

Listed:
  • Adznan, Syaima
  • Masih, Mansur

Abstract

The exchange rate is able to influence the trade balance in most of countries’ economy. When a country's trade account does not net to zero – that is, when exports are not equal to imports – there is relatively more supply or demand for a country's currency, which influences the price of that currency on the world market. However, the relationship between exchange rate and trade balance is indecisive both in long run and short run. The purpose of this paper is to examine the relationship between exchange rate and trade balance in Malaysia. This study extends prior literature by using a more recent monthly time series data and relatively advanced techniques known as ARDL and NARDL. Based on this study, it is found that the relationship between these two variables exists. It also found that trade balance is worsened in the short-run in line with the J-curve theory. These results imply that there is a trade-off of depreciation between short-run and long-run, and between exporting sectors and importing sectors. Policymaker could moderately depreciate the currency to boost trade balance but needs to effectively manage the cost incurred.

Suggested Citation

  • Adznan, Syaima & Masih, Mansur, 2018. "Exchange rate and trade balance linkage: evidence from Malaysia based on ARDL and NARDL," MPRA Paper 91509, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:91509
    as

    Download full text from publisher

    File URL: https://mpra.ub.uni-muenchen.de/91509/1/MPRA_paper_91509.pdf
    File Function: original version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    2. Nkenchor Neville Igue & Toyin Segun Ogunleye, 2014. "Impact of Real Exchange Rate on Trade Balance in Nigeria," African Development Review, African Development Bank, vol. 26(2), pages 347-358, June.
    3. Khim-sen Liew & Kian-Ping Lim & Huzaimi Hussain, 2003. "Exchange Rate and Trade Balance Relationship: The Experience of ASEAN Countries," International Trade 0307003, University Library of Munich, Germany.
    4. Boyd, Derick & Caporale, Gugielmo Maria & Smith, Ron, 2001. "Real Exchange Rate Effects on the Balance of Trade: Cointegration and the Marshall-Lerner Condition," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 6(3), pages 187-200, July.
    5. Robin C. Sickles & William C. Horrace (ed.), 2014. "Festschrift in Honor of Peter Schmidt," Springer Books, Springer, edition 127, number 978-1-4899-8008-3, January.
    6. Matthieu Bussière & Giovanni Callegari & Fabio Ghironi & Giulia Sestieri & Norihiko Yamano, 2013. "Estimating Trade Elasticities: Demand Composition and the Trade Collapse of 2008-2009," American Economic Journal: Macroeconomics, American Economic Association, vol. 5(3), pages 118-151, July.
    7. Bahmani-Oskooee, Mohsen, 1991. "Is there a long-run relation between the trade balance and the real effective exchange rate of LDCs?," Economics Letters, Elsevier, vol. 36(4), pages 403-407, August.
    8. Olugbenga Onafowora, 2003. "Exchange rate and trade balance in east asia: is there a J-curve?," Economics Bulletin, AccessEcon, vol. 5(18), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Suwanhirunkul, Suwijak & Masih, Mansur, 2018. "Exchange rate and trade balance linkage: sectoral evidence from Thailand based on nonlinear ARDL," MPRA Paper 87541, University Library of Munich, Germany.
    2. Yaya Keho, 2021. "Real Exchange Rate and Trade Balance Dynamics in Cote d Ivoire," International Journal of Economics and Financial Issues, Econjournals, vol. 11(1), pages 61-70.
    3. Arize, Augustine C. & Malindretos, John & Igwe, Emmanuel U., 2017. "Do exchange rate changes improve the trade balance: An asymmetric nonlinear cointegration approach," International Review of Economics & Finance, Elsevier, vol. 49(C), pages 313-326.
    4. Alhaji Jibrilla Aliyu & Shehu Mohammed Tijjani & Caroline Elliott, 2015. "Asymmetric cointegration between exchange rate and trade balance in Nigeria," Cogent Economics & Finance, Taylor & Francis Journals, vol. 3(1), pages 1045213-104, December.
    5. Shah, Anwar & Majeed, Muhammad Tariq, 2014. "Real Exchange Rate and Trade Balance in Pakistan: An ARDL Co-integration Approach," MPRA Paper 57674, University Library of Munich, Germany.
    6. Waliullah & Mehmood Khan Kakar & Rehmatullah Kakar & Wakeel Khan, 2010. "The Determinants of Pakistan’s Trade Balance: An ARDL Cointegration Approach," Lahore Journal of Economics, Department of Economics, The Lahore School of Economics, vol. 15(1), pages 1-26, Jan-Jun.
    7. Gan-Ochir Doojav, 2018. "The Effect of Real Exchange Rate on Trade Balance in a Resource-Rich Economy: The Case of Mongolia," Foreign Trade Review, , vol. 53(4), pages 211-224, November.
    8. Shahbaz, Muhammad & Jalil, Abdul & Islam, Faridul, 2010. "Real Exchange Rate Changes and Trade Balance in Pakistan: A Revisit," MPRA Paper 27631, University Library of Munich, Germany.
    9. Mohsen Bahmani-Oskooee & Amirhossein Mohammadian, 2019. "Who benefits from euro depreciation in the euro zone?," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 46(3), pages 577-595, August.
    10. Waseem Ahmad Parray & Javed Ahmad Bhat & Effat Yasmin & Sajad Ahmad Bhat, 2023. "Exchange Rate Changes and the J-curve Effect: Asymmetric Evidence from a Panel of Five Emerging Market Economies," Foreign Trade Review, , vol. 58(4), pages 524-543, November.
    11. Cheng, Ka Ming, 2020. "Currency devaluation and trade balance: Evidence from the US services trade," Journal of Policy Modeling, Elsevier, vol. 42(1), pages 20-37.
    12. Mohammad Naim Azimi & Mohammad Musa Shafiq, 2022. "The J-curve phenomenon in Afghanistan and its major trading partners: evidence from a non-linear ARDL approach," SN Business & Economics, Springer, vol. 2(7), pages 1-28, July.
    13. Bilgin, Cevat, 2020. "Asymmetric Effects of Exchange Rate Changes on Exports: A Sectoral Nonlinear Cointegration Analysis for Turkey," MPRA Paper 101316, University Library of Munich, Germany.
    14. Bahmani-Oskooee, Mohsen & Satawatananon, Kaveepot, 2010. "US-Thailand trade at the commodity level and the role of the real exchange rate," Journal of Asian Economics, Elsevier, vol. 21(6), pages 514-525, December.
    15. Bahmani-Oskooee, Mohsen & Aftab, Muhammad & Harvey, Hanafiah, 2016. "Asymmetry cointegration and the J-curve: New evidence from Malaysia-Singapore commodity trade," The Journal of Economic Asymmetries, Elsevier, vol. 14(PB), pages 211-226.
    16. A. Kim, 2009. "An empirical analysis of Korea's trade imbalances with the US and Japan," Journal of the Asia Pacific Economy, Taylor & Francis Journals, vol. 14(3), pages 211-226.
    17. Are, Olasubomi, 2019. "Currency Devaluation and Trade Balance Nexus: A Test of Marshall-Lerner Condition in Nigeria," BizEcons Quarterly, Strides Educational Foundation, vol. 4, pages 23-43.
    18. Hsing, Yu, 2009. "Test of the J-curve for the DR-CAFTA countries and policy implications," Research in International Business and Finance, Elsevier, vol. 23(3), pages 293-301, September.
    19. Mohsen Bahmani-Oskooee & Muhammad Aftab, 2017. "Malaysia–Korea Commodity Trade: Are there Asymmetric Responses to Exchange Rate Changes?," Economic Papers, The Economic Society of Australia, vol. 36(2), pages 198-222, June.
    20. Mohsen Bahmani-Oskooee & Muhammad Ali Nasir, 2020. "Asymmetric J-curve: evidence from industry trade between U.S. and U.K," Applied Economics, Taylor & Francis Journals, vol. 52(25), pages 2679-2693, May.

    More about this item

    Keywords

    Trade Balance; Interest Rate; NARDL; ARDL; Malaysia;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:91509. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Joachim Winter (email available below). General contact details of provider: https://edirc.repec.org/data/vfmunde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.