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Exchange Rate Dynamics and Macroeconomic Factors: A Comparative Study of BRICS Countries

Author

Listed:
  • Wafaa Sbeiti
  • Moid Uddin Ahmad
  • Fahad AlKhashti
  • Ayman E. Haddad

Abstract

This study investigates the exchange rate dynamics within the BRICS countries and how they interact with specific macroeconomic variables. To achieve this purpose, both intra-country and inter-country analyses were performed utilizing various statistical methods using time series data covering the period 2000–2022. The findings reveal a significant interdependency among exchange rates within the BRICS countries, although there are inconsistencies in inter-country relationships. Specifically, the analysis of exchange rate dynamics across different countries reveals diverse associations with other economic variables, highlighting the varying impact of macroeconomic variables on foreign exchange rates across countries. In addition, our study also revealed a significant negative two-way relationship between the Chinese currency and the currencies of South Africa and Russia, highlighting potential challenges and complications in aligning monetary policies and exchange rate dynamics across BRICS countries. JEL Classification F31, E44, E52, O11

Suggested Citation

  • Wafaa Sbeiti & Moid Uddin Ahmad & Fahad AlKhashti & Ayman E. Haddad, 2025. "Exchange Rate Dynamics and Macroeconomic Factors: A Comparative Study of BRICS Countries," Global Journal of Emerging Market Economies, Emerging Markets Forum, vol. 17(3), pages 336-355, September.
    • Handle: RePEc:sae:emeeco:v:17:y:2025:i:3:p:336-355
    DOI: 10.1177/09749101251317482
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    1. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    2. Narayan, Paresh Kumar, 2022. "Understanding exchange rate shocks during COVID-19," Finance Research Letters, Elsevier, vol. 45(C).
    3. Molyneux, Philip & Pancotto, Livia & Reghezza, Alessio & Rodriguez d'Acri, Costanza, 2022. "Interest rate risk and monetary policy normalisation in the euro area," Journal of International Money and Finance, Elsevier, vol. 124(C).
    4. Salisu, Afees A. & Akanni, Lateef & Raheem, Ibrahim, 2020. "The COVID-19 global fear index and the predictability of commodity price returns," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
    5. Kenneth Rogoff, 1996. "The Purchasing Power Parity Puzzle," Journal of Economic Literature, American Economic Association, vol. 34(2), pages 647-668, June.
    6. Carlo Altavilla & Paul De Grauwe, 2010. "Forecasting and combining competing models of exchange rate determination," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3455-3480.
    7. Harald Hau & Hélène Rey, 2006. "Exchange Rates, Equity Prices, and Capital Flows," The Review of Financial Studies, Society for Financial Studies, vol. 19(1), pages 273-317.
    8. Diebold, Francis X. & Yilmaz, Kamil, 2012. "Better to give than to receive: Predictive directional measurement of volatility spillovers," International Journal of Forecasting, Elsevier, vol. 28(1), pages 57-66.
    9. Flood, Robert P & Rose, Andrew K, 1999. "Understanding Exchange Rate Volatility without the Contrivance of Macroeconomics," Economic Journal, Royal Economic Society, vol. 109(459), pages 660-672, November.
    10. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    11. Tze-Haw Chan & Chee-Wooi Hooy, 2012. "Malaysia--China in the Liberalization Era: Structural Modelling of International Parity Conditions and Transmission Mechanism," Global Economic Review, Taylor & Francis Journals, vol. 41(3), pages 259-277, September.
    12. Bernanke, Ben S & Blinder, Alan S, 1988. "Credit, Money, and Aggregate Demand," American Economic Review, American Economic Association, vol. 78(2), pages 435-439, May.
    13. Karan Rai & Bhavesh Garg, 2022. "Dynamic correlations and volatility spillovers between stock price and exchange rate in BRIICS economies: evidence from the COVID-19 outbreak period," Applied Economics Letters, Taylor & Francis Journals, vol. 29(8), pages 738-745, May.
    14. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
    15. Purnanandam, Amiyatosh, 2007. "Interest rate derivatives at commercial banks: An empirical investigation," Journal of Monetary Economics, Elsevier, vol. 54(6), pages 1769-1808, September.
    16. Sarno,Lucio & Taylor,Mark P., 2003. "The Economics of Exchange Rates," Cambridge Books, Cambridge University Press, number 9780521485845, Enero-Abr.
    17. Daniel Kipkirong Tarus & Philip Otieno Manyala, 2018. "What determines bank interest rate spread? Evidence from Sub-Saharan Africa," African Journal of Economic and Management Studies, Emerald Group Publishing Limited, vol. 9(3), pages 335-348, July.
    18. Venus Khim-Sen Liew & Ahmad Zubaidi Baharumshah & Chin-Hong Puah, 2009. "Monetary Model of Exchange Rate for Thailand: Long-run Relationship and Monetary Restrictions," Global Economic Review, Taylor & Francis Journals, vol. 38(4), pages 385-395.
    19. Xavier Gabaix & Matteo Maggiori, 2015. "International Liquidity and Exchange Rate Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(3), pages 1369-1420.
    20. Gustavo Adler & Camilo Ernesto Tovar, 2014. "Foreign Exchange Interventions and their Impact on Exchange Rate Levels," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 1-48, January-J.
    21. Kilian, Lutz & Zhou, Xiaoqing, 2022. "Oil prices, exchange rates and interest rates," Journal of International Money and Finance, Elsevier, vol. 126(C).
    22. Ron Jongen & Willem F.C. Verschoor & Christian C.P. Wolff, 2008. "Foreign Exchange Rate Expectations: Survey And Synthesis," Journal of Economic Surveys, Wiley Blackwell, vol. 22(1), pages 140-165, February.
    23. Diniz-Maganini, Natalia & Rasheed, Abdul A. & Sheng, Hsia Hua, 2023. "Price efficiency of the foreign exchange rates of BRICS countries: A comparative analysis," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 4(1).
    24. Salisu, Afees A. & Gupta, Rangan & Kim, Won Joong, 2022. "Exchange rate predictability with nine alternative models for BRICS countries," Journal of Macroeconomics, Elsevier, vol. 71(C).
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    Cited by:

    1. Erdem Kılıç, 2025. "Economic and Financial Integration in Brics+," Journal of Finance Letters (Maliye ve Finans Yazıları), Maliye ve Finans Yazıları Yayıncılık Ltd. Şti., vol. 40(124), pages 36-59, October.

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    Keywords

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    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development

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