IDEAS home Printed from https://ideas.repec.org/a/idn/journl/v20y2017i1bp49-70.html
   My bibliography  Save this article

The Exchange Rate Volatility And Export Performance: The Case Of Indonesia’S Exports To Japan And Us

Author

Listed:
  • Shinta Fitriani

    (Bank Indonesia)

Abstract

This paper investigates the long-run and short-run impacts of the exchange rate volatility on Indonesia’s real exports to its major trading partners; Japan and US. The study uses monthly data from January 1998 to October 2015 in order to capture the structural break period of the Global Financial Crisis 2008. In addition, commodity price is included as an explanatory variable. The index of exchange rate volatility is generated using moving sample standard deviation of the growth of the real exchange rate. This paper estimates the long-run cointegration using Autoregressive Distributed Lag (ARDL) bounds testing, while for the short-run dynamic this paper use error-correction-model (ECM). The findings suggest rupiah volatility against the Japanese yen reduces Indonesia’s export to Japan, both in the short and the long-run. Fluctuation of rupiah against the US dollar helps Indonesia’s export to the US in the short run, but the impact is not carried out to the long-run. On the other hand, the impact of commodity price shock is negligible, except for the long-run export to Japan.

Suggested Citation

  • Shinta Fitriani, 2017. "The Exchange Rate Volatility And Export Performance: The Case Of Indonesia’S Exports To Japan And Us," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 20(1), pages 49-70, July.
  • Handle: RePEc:idn:journl:v:20:y:2017:i:1b:p:49-70
    DOI: https://doi.org/10.21098/bemp.v20i1.724
    as

    Download full text from publisher

    File URL: https://bulletin.bmeb-bi.org/cgi/viewcontent.cgi?article=1146&context=bmeb
    Download Restriction: no

    File URL: https://libkey.io/https://doi.org/10.21098/bemp.v20i1.724?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Jeffrey A Frankel & Andrew K Rose, 2010. "Determinants of Agricultural and Mineral Commodity Prices," RBA Annual Conference Volume (Discontinued), in: Renée Fry & Callum Jones & Christopher Kent (ed.),Inflation in an Era of Relative Price Shocks, Reserve Bank of Australia.
    3. Perry Warjiyo, 2013. "Indonesia: stabilizing the exchange rate along its fundamental," BIS Papers chapters, in: Bank for International Settlements (ed.), Sovereign risk: a world without risk-free assets?, volume 73, pages 177-187, Bank for International Settlements.
    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. repec:idn:journl:v:20:y:2017:i:1b:p:1-22 is not listed on IDEAS
    2. Rafiq, Shuddhasattwa & Bloch, Harry, 2016. "Explaining commodity prices through asymmetric oil shocks: Evidence from nonlinear models," Resources Policy, Elsevier, vol. 50(C), pages 34-48.
    3. Arifa Jannat & Kentaka Aruga & Jun Furuya & Miyuki Iiyama, 2022. "Investigating the Impact of International Markets on Imported and Exported Non-Cereal Crops in Bangladesh," Agriculture, MDPI, vol. 12(6), pages 1-16, June.
    4. Lei Pan & Svetlana Maslyuk-Escobedo & Vinod Mishra, 2019. "Carry Trade Returns and Commodity Prices under Capital and Interest Rate Controls: Empirical Evidence from China," Monash Economics Working Papers 16-18, Monash University, Department of Economics.
    5. Karasoy, Alper, 2022. "Is innovative technology a solution to Japan's long-run energy insecurity? Dynamic evidence from the linear and nonlinear methods," Technology in Society, Elsevier, vol. 70(C).
    6. Villanthenkodath, Muhammed Ashiq & Mahalik, Mantu Kumar, 2021. "Does economic growth respond to electricity consumption asymmetrically in Bangladesh? The implication for environmental sustainability," Energy, Elsevier, vol. 233(C).
    7. Bloch, Harry & Rafiq, Shuddhasattwa & Salim, Ruhul, 2015. "Economic growth with coal, oil and renewable energy consumption in China: Prospects for fuel substitution," Economic Modelling, Elsevier, vol. 44(C), pages 104-115.
    8. Shahbaz, Muhammad & Hoang, Thi Hong Van & Mahalik, Mantu Kumar & Roubaud, David, 2017. "Energy consumption, financial development and economic growth in India: New evidence from a nonlinear and asymmetric analysis," Energy Economics, Elsevier, vol. 63(C), pages 199-212.
    9. John Baffes & Cristina Savescu, 2014. "Monetary conditions and metal prices," Applied Economics Letters, Taylor & Francis Journals, vol. 21(7), pages 447-452, May.
    10. Nasreen, Samia & Anwar, Sofia & Ozturk, Ilhan, 2017. "Financial stability, energy consumption and environmental quality: Evidence from South Asian economies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 67(C), pages 1105-1122.
    11. Muhammad Shafiullah & Ravinthirakumaran Navaratnam, 2016. "Do Bangladesh and Sri Lanka Enjoy Export-Led Growth? A Comparison of Two Small South Asian Economies," South Asia Economic Journal, Institute of Policy Studies of Sri Lanka, vol. 17(1), pages 114-132, March.
    12. Garrod Brian & Almeida António & Machado Luiz, 2023. "Modelling of nonlinear asymmetric effects of changes in tourism on economic growth in an autonomous small-island economy," European Journal of Tourism, Hospitality and Recreation, Sciendo, vol. 13(2), pages 154-172, December.
    13. Zheng, Li & Abbasi, Kashif Raza & Salem, Sultan & Irfan, Muhammad & Alvarado, Rafael & Lv, Kangjuan, 2022. "How technological innovation and institutional quality affect sectoral energy consumption in Pakistan? Fresh policy insights from novel econometric approach," Technological Forecasting and Social Change, Elsevier, vol. 183(C).
    14. Muhammad Shahbaz & Vassilios G. Papavassiliou & Amine Lahiani & David Roubaud, 2023. "Are we moving towards decarbonisation of the global economy? Lessons from the distant past to the present," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2620-2634, July.
    15. Egbichi Comfort & Abuh Ojamaliya & Okafor Victoria & Godwin Abigail & Adedoyin Oluwapelumi, 2018. "Dynamic Impact of Energy Consumption on the Growth of Nigeria Economy (1986-2016): Evidence from Symmetrical Autoregressive Distributed Lag Model," International Journal of Energy Economics and Policy, Econjournals, vol. 8(2), pages 188-195.
    16. Ghosh, Soumya Kanti & Nath, Hiranya K., 2023. "What determines private and household savings in India?," International Review of Economics & Finance, Elsevier, vol. 86(C), pages 639-651.
    17. Obsatar Sinaga & Mohd Haizam Mohd Saudi & Djoko Roespinoedji & Mohd Shahril Ahmad Razimi, 2019. "The Dynamic Relationship between Natural Gas and Economic Growth: Evidence from Indonesia," International Journal of Energy Economics and Policy, Econjournals, vol. 9(3), pages 388-394.
    18. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    19. Johannes W. Fedderke & John M. Luiz, 2005. "Does Human Generate Social and Institutional Capital? Exploring Evidence From Time Series Data in a Middle Income Country," Working Papers 029, Economic Research Southern Africa.
    20. Md. Sharif Hossain & Md. Thasinul Abedin, 2016. "Multivariate Dynamic Co-integration and Causality Analysis between Inflation and its Determinants," Journal of Economics and Behavioral Studies, AMH International, vol. 8(5), pages 240-250.
    21. R. Santos Alimi, 2014. "ARDL Bounds Testing Approach to Cointegration: A Re-Examination of Augmented Fisher Hypothesis in an Open Economy," Asian Journal of Economic Modelling, Asian Economic and Social Society, vol. 2(2), pages 103-114, June.

    More about this item

    Keywords

    ARDL Bounds Testing; Export; Exchange Rate Volatility; Indonesia;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • F14 - International Economics - - Trade - - - Empirical Studies of Trade
    • F31 - International Economics - - International Finance - - - Foreign Exchange

    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:idn:journl:v:20:y:2017:i:1b:p:49-70. 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: Lutzardo Tobing or Jimmy Kathon (email available below). General contact details of provider: https://edirc.repec.org/data/bigovid.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.