IDEAS home Printed from https://ideas.repec.org/a/gam/jecomi/v12y2024i12p326-d1532316.html
   My bibliography  Save this article

Symmetries or Asymmetries: How MSCI Index Advanced European Markets’ Exchange Rates Respond to Macro-Economic Fundamentals

Author

Listed:
  • Mosab I. Tabash

    (Department of Business Administration, College of Business, Al Ain University, Al Ain P.O. Box 64141, United Arab Emirates)

  • Muhammad AsadUllah

    (Karachi Institute of Economics and Technology, College of Management Sciences, Karachi 75080, Pakistan)

  • Quratulain Siddiq

    (School of Economics and Business Administration, Chongqing University, Chongqing 400044, China)

  • Marwan Mansour

    (Accounting Department, Business Faculty, Amman Arab University, Amman 11953, Jordan
    Jadara Research Center, Jadara University, Irbid 21110, Jordan)

  • Linda Nalini Daniel

    (Business Department, Higher Colleges of Technology, Abu Dhabi P.O. Box 41012, United Arab Emirates)

  • Mujeeb Saif Mohsen Al-Absy

    (Accounting and Financial Science Department, College of Administrative and Financial Science, Gulf University, Sanad 26489, Bahrain)

Abstract

The purpose of this study is to find symmetries and asymmetries in the exchange rate and macroeconomic fundamentals of advanced European markets, namely Denmark, the Euro Area, and United Kingdom, for the period of 2011 to 2022 via application of the NARDL technique. The findings reveal that interest rate affects DKK exchange rate asymmetrically in the long and short run, whereas money supply affects it in the short run. Foreign reserves are found to be helpful for all three currencies in stabilizing the exchange rate. A decline in gold price weakens GBP, DKK, and EUR in the long run. Previous studies suggest that the existence of asymmetrical relationships justifies the selection of NARDL for empirical analysis. This study makes a contribution to the existing literature, as it proves that forecasting via NARDL is also robust for analysis. The findings have significant policy implications for financial applications.

Suggested Citation

  • Mosab I. Tabash & Muhammad AsadUllah & Quratulain Siddiq & Marwan Mansour & Linda Nalini Daniel & Mujeeb Saif Mohsen Al-Absy, 2024. "Symmetries or Asymmetries: How MSCI Index Advanced European Markets’ Exchange Rates Respond to Macro-Economic Fundamentals," Economies, MDPI, vol. 12(12), pages 1-16, November.
  • Handle: RePEc:gam:jecomi:v:12:y:2024:i:12:p:326-:d:1532316
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7099/12/12/326/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2227-7099/12/12/326/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Jen‐Te Hwang & Ming‐Jia Wu, 2011. "Inflation and Economic Growth in China: An Empirical Analysis," China & World Economy, Institute of World Economics and Politics, Chinese Academy of Social Sciences, vol. 19(5), pages 67-84, September.
    2. Din 祲 Afat & Marta G -Puig & Sim osvilla-Rivero, 2015. "The failure of the monetary model of exchange rate determination," Applied Economics, Taylor & Francis Journals, vol. 47(43), pages 4607-4629, September.
    3. Funashima, Yoshito, 2020. "Money stock versus monetary base in time–frequency exchange rate determination," Journal of International Money and Finance, Elsevier, vol. 104(C).
    4. Barış Soybilgen & Huseyin Kaya & Dincer Dedeoglu, 2019. "Evaluating the effect of geopolitical risks on the growth rates of emerging countries," Economics Bulletin, AccessEcon, vol. 39(1), pages 717-725.
    5. Chinn, Menzie David, 1991. "Some linear and nonlinear thoughts on exchange rates," Journal of International Money and Finance, Elsevier, vol. 10(2), pages 214-230, June.
    6. 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.
    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. Korap, Levent, 2024. "Impact of asymmetry on exchange rate determination: The role of fundamentals," Emerging Markets Review, Elsevier, vol. 63(C).
    2. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    3. Satar Bakhsh & Md Shabbir Alam & Wei Zhang, 2024. "Green finance and Sustainable Development Goals: is there a role for geopolitical uncertainty?," Economic Change and Restructuring, Springer, vol. 57(4), pages 1-30, August.
    4. Piumi Atigala & Tharaka Maduwanthi & Vishmi Gunathilake & Sanduni Sathsarani & Ruwan Jayathilaka, 2022. "Driving the pulse of the economy or the dilution effect: Inflation impacting economic growth," PLOS ONE, Public Library of Science, vol. 17(8), pages 1-17, August.
    5. Naif Alsagr & Stefan F. Van Hemmen Almazor, 2020. "Oil Rent, Geopolitical Risk and Banking Sector Performance," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 305-314.
    6. Muhammad Azmat Hayat & Huma Ghulam & Maryam Batool & Muhammad Zahid Naeem & Abdullah Ejaz & Cristi Spulbar & Ramona Birau, 2021. "Investigating the Causal Linkages among Inflation, Interest Rate, and Economic Growth in Pakistan under the Influence of COVID-19 Pandemic: A Wavelet Transformation Approach," JRFM, MDPI, vol. 14(6), pages 1-22, June.
    7. Richard K. Lyons, 2002. "Foreign exchange: macro puzzles, micro tools," Economic Review, Federal Reserve Bank of San Francisco, pages 51-69.
    8. Martin D.D. Evans & Richard K. Lyons, 2017. "Order Flow and Exchange Rate Dynamics," World Scientific Book Chapters, in: Studies in Foreign Exchange Economics, chapter 6, pages 247-290, World Scientific Publishing Co. Pte. Ltd..
    9. Pierre Guérin & Danilo Leiva-Leon & Massimiliano Marcellino, 2020. "Markov-Switching Three-Pass Regression Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(2), pages 285-302, April.
    10. Olena STRYZHAK & Ramazan SAYAR & Yılmaz Onur ARI, 2022. "Geopolitical risks, GDP and tourism: an ARDL-ECM cointegration study on Ukraine," CES Working Papers, Centre for European Studies, Alexandru Ioan Cuza University, vol. 14(1), pages 85-113, May.
    11. Jeffrey A. Frankel & Andrew K. Rose, 1994. "A Survey of Empirical Research on Nominal Exchange Rates," NBER Working Papers 4865, National Bureau of Economic Research, Inc.
    12. Lingaraj Mallick & Smruti Ranjan Behera & Mita Bhattacharya, 2024. "Impact of Exchange Rate on Trade Balance of India: Evidence from Threshold Cointegration with Asymmetric Error Correction Approach," Foreign Trade Review, , vol. 59(2), pages 279-308, May.
    13. Barbara Rossi & Atsushi Inoue, 2012. "Out-of-Sample Forecast Tests Robust to the Choice of Window Size," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 432-453, April.
    14. Habimana, Olivier, 2017. "The multiscale relationship between exchange rates and fundamentals differentials: Empirical evidence from Scandinavia," MPRA Paper 75956, University Library of Munich, Germany.
    15. Marcos Alvarez-Diaz & Alberto Alvarez, 2003. "Forecasting exchange rates using genetic algorithms," Applied Economics Letters, Taylor & Francis Journals, vol. 10(6), pages 319-322.
    16. David Peel & Alan Speight, 1994. "Testing for non-linear dependence in inter-war exchange rates," Review of World Economics (Weltwirtschaftliches Archiv), Springer;Institut für Weltwirtschaft (Kiel Institute for the World Economy), vol. 130(2), pages 391-417, June.
    17. Goldberg, Michael D., 1995. "Symmetry restrictions and the semblance of neutrality in exchange rate models," Journal of Macroeconomics, Elsevier, vol. 17(4), pages 579-599.
    18. Wang, Jian-Xin & Wong, Hoi-In, 1997. "The predictability of Asian exchange rates: evidence from Kalman filter and ARCH estimations," Journal of Multinational Financial Management, Elsevier, vol. 7(3), pages 231-252, October.
    19. Nathan Audu & Titus Obiezue, 2022. "Exchange Rate and Trade in Services Nexus in Nigeria: A Non-Linear ARDL Approach," Athens Journal of Business & Economics, Athens Institute for Education and Research (ATINER), vol. 8(1), pages 79-96, January.
    20. Cheung, Y. -W. & Chinn, M. D., 1998. "Integration, cointegration and the forecast consistency of structural exchange rate models," Journal of International Money and Finance, Elsevier, vol. 17(5), pages 813-830, October.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:gam:jecomi:v:12:y:2024:i:12:p:326-:d:1532316. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.