IDEAS home Printed from https://ideas.repec.org/a/taf/jitecd/v29y2020i3p289-318.html
   My bibliography  Save this article

Interest rates, inflation, and exchange rates in fragile EMEs: A fresh look at the long-run interrelationships

Author

Listed:
  • Hüseyin Şen
  • Ayşe Kaya
  • Savaş Kaptan
  • Metehan Cömert

Abstract

This study attempts to establish the possible existence of the long-run interrelationship between interest rates, inflation, and exchange rates in five EMEs (Brazil, India, Indonesia, South Africa, and Turkey), what is so-called by Morgan Stanley ‘Fragile Five’. To do so, we utilize Li and Lee's [2010. “ADL Tests for Threshold Cointegration.” Journal of Time Series Analysis 31 (4): 241–254.] Autoregressive Distributed Lag test for threshold cointegration and apply it to the sample country's time-series data from 2013:m1 to 2018:m12. Overall, our results are threefold: First, there seems to be a long-run positive relationship between actual rates of inflation and nominal interest rates supporting the validity of the ex-post Fisher hypothesis for all the sample countries. Second, the results support the presence of a cointegrating relationship between interest rates and exchange rates for Brazil, India, and Turkey but not for Indonesia and South Africa. Lastly, without exception, exchange rates and actual rates of inflation in all the sample countries tend to co-move in the long-run, implying that the depreciation of their currencies creates an inflationary effect on domestic prices through raising the prices of imported goods. The results above are widely consistent with both theoretical expectations and the relevant empirical literature.

Suggested Citation

  • Hüseyin Şen & Ayşe Kaya & Savaş Kaptan & Metehan Cömert, 2020. "Interest rates, inflation, and exchange rates in fragile EMEs: A fresh look at the long-run interrelationships," The Journal of International Trade & Economic Development, Taylor & Francis Journals, vol. 29(3), pages 289-318, April.
  • Handle: RePEc:taf:jitecd:v:29:y:2020:i:3:p:289-318
    DOI: 10.1080/09638199.2019.1663441
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/09638199.2019.1663441
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1080/09638199.2019.1663441?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hüseyin İlker Erçen & Hüseyin Özdeşer & Turgut Türsoy, 2022. "The Impact of Macroeconomic Sustainability on Exchange Rate: Hybrid Machine-Learning Approach," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    2. Emin Karataş & Ayyüce Memiş Karataş, 2023. "This research discusses the causal relationship among the exchange rates, 10-year bond yields, and Central Bank policy rates with regard to the countries known as the Fragile Five (F5) by comparing th," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 0(39), pages 65-75, December.
    3. Mehmet Ulug & Sayım Işık & Mehmet Mert, 2023. "The effectiveness of ultra-loose monetary policy in a high inflation economy: a time-varying causality analysis for Turkey," Economic Change and Restructuring, Springer, vol. 56(4), pages 2855-2887, August.
    4. Kartono, Agus & Febriyanti, Marina & Wahyudi, Setyanto Tri & Irmansyah,, 2020. "Predicting foreign currency exchange rates using the numerical solution of the incompressible Navier–Stokes equations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 560(C).

    More about this item

    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:taf:jitecd:v:29:y:2020:i:3:p:289-318. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/RJTE20 .

    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.