IDEAS home Printed from https://ideas.repec.org/a/sae/globus/v20y2019i1p151-165.html
   My bibliography  Save this article

Can BRICS Form a Currency Union? An Analysis under Markov Regime-Switching Framework

Author

Listed:
  • T. G. Saji

Abstract

The article applies Markov Regime-Switching Model (MRSM) to explore the prospects of forming currency union among BRICS countries. Our data span the period before and after the formation of the group, and the study compares the regime-switching behaviour of their real exchange rate markets accordingly. The analysis found divergent real exchange market behaviour of the member countries before the formation of the group. However, after the integration of economies, the convergences in central bank’s direct intervention behaviours are evident especially among India, China and South Africa. The study concludes that the inclusion of the stronger policy interaction in the region now and future, especially in monetary management, unveils the chance of a strong currency union among BRICS members.

Suggested Citation

  • T. G. Saji, 2019. "Can BRICS Form a Currency Union? An Analysis under Markov Regime-Switching Framework," Global Business Review, International Management Institute, vol. 20(1), pages 151-165, February.
    • Handle: RePEc:sae:globus:v:20:y:2019:i:1:p:151-165
    DOI: 10.1177/0972150917721835
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972150917721835
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0972150917721835?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. Rossi, Barbara, 2006. "Are Exchange Rates Really Random Walks? Some Evidence Robust To Parameter Instability," Macroeconomic Dynamics, Cambridge University Press, vol. 10(1), pages 20-38, February.
    2. Dahlquist, Magnus & Gray, Stephen F., 2000. "Regime-switching and interest rates in the European monetary system," Journal of International Economics, Elsevier, vol. 50(2), pages 399-419, April.
    3. Engel, Charles, 1994. "Can the Markov switching model forecast exchange rates?," Journal of International Economics, Elsevier, vol. 36(1-2), pages 151-165, February.
    4. Brooks,Chris, 2008. "RATS Handbook to Accompany Introductory Econometrics for Finance," Cambridge Books, Cambridge University Press, number 9780521896955, January.
    5. Naszodi, Anna, 2011. "Exchange rate dynamics under state-contingent stochastic process switching," Journal of International Money and Finance, Elsevier, vol. 30(5), pages 896-908, September.
    6. Andrew K. Rose, 2011. "Exchange Rate Regimes in the Modern Era : Fixed, Floating, and Flaky," Journal of Economic Literature, American Economic Association, vol. 49(3), pages 652-672, September.
    7. Kenneth A. Froot & Michael Kim & Kenneth Rogoff, 2019. "The Law of One Price Over 700 Years," Annals of Economics and Finance, Society for AEF, vol. 20(1), pages 1-35, May.
    8. Dimitris Kirikos, 2000. "Forecasting exchange rates out of sample: random walk vs Markov switching regimes," Applied Economics Letters, Taylor & Francis Journals, vol. 7(2), pages 133-136.
    9. Mark, Nelson C., 1990. "Real and nominal exchange rates in the long run: An empirical investigation," Journal of International Economics, Elsevier, vol. 28(1-2), pages 115-136, February.
    10. Goldfeld, Stephen M. & Quandt, Richard E., 1973. "A Markov model for switching regressions," Journal of Econometrics, Elsevier, vol. 1(1), pages 3-15, March.
    11. Engel, Charles & Hakkio, Craig S, 1996. "The Distribution of Exchange Rates in the EMS," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 1(1), pages 55-67, January.
    12. Brunetti, Celso & Scotti, Chiara & Mariano, Roberto S. & Tan, Augustine H.H., 2008. "Markov switching GARCH models of currency turmoil in Southeast Asia," Emerging Markets Review, Elsevier, vol. 9(2), pages 104-128, June.
    13. Fiess, Norbert & Shankar, Rashmi, 2005. "Regime-switching in exchange rate policy and balance sheet effects," Policy Research Working Paper Series 3653, The World Bank.
    14. Lee, Hsiu-Yun & Chen, Show-Lin, 2006. "Why use Markov-switching models in exchange rate prediction?," Economic Modelling, Elsevier, vol. 23(4), pages 662-668, July.
    15. Klein, Michael W. & Shambaugh, Jay C., 2012. "Exchange Rate Regimes in the Modern Era," MIT Press Books, The MIT Press, edition 1, volume 1, number 026251799x, December.
    16. Bergman, U. Michael & Hansson, Jesper, 2005. "Real exchange rates and switching regimes," Journal of International Money and Finance, Elsevier, vol. 24(1), pages 121-138, February.
    17. Mr. Francis Y Kumah, 2007. "A Markov-Switching Approach to Measuring Exchange Market Pressure," IMF Working Papers 2007/242, International Monetary Fund.
    18. Luiz Carlos Bresser-Pereira & Marcio Holland, 2009. "Common currency and economic integration in Mercosul," Journal of Post Keynesian Economics, Taylor & Francis Journals, vol. 32(2), pages 213-234, December.
    19. Ichiue, Hibiki & Koyama, Kentaro, 2011. "Regime switches in exchange rate volatility and uncovered interest parity," Journal of International Money and Finance, Elsevier, vol. 30(7), pages 1436-1450.
    20. Maurice Obstfeld & Kenneth Rogoff, 1995. "The Mirage of Fixed Exchange Rates," Journal of Economic Perspectives, American Economic Association, vol. 9(4), pages 73-96, Fall.
    21. Alberto Cavallo & Brent Neiman & Roberto Rigobon, 2015. "The Price Impact of Joining a Currency Union: Evidence from Latvia," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 63(2), pages 281-297, September.
    22. Cheung, Yin-Wong & Erlandsson, Ulf G., 2005. "Exchange Rates and Markov Switching Dynamics," Journal of Business & Economic Statistics, American Statistical Association, vol. 23, pages 314-320, July.
    23. Engel, Charles & Hamilton, James D, 1990. "Long Swings in the Dollar: Are They in the Data and Do Markets Know It?," American Economic Review, American Economic Association, vol. 80(4), pages 689-713, September.
    24. Malika Hamadi & Andreas Heinen, 2011. "Ownership Structure and Firm Performance : Evidence from a non-parametric panel," DEM Discussion Paper Series 11-16, Department of Economics at the University of Luxembourg.
    25. Kishore G. Kulkarni & Maiko Ishizaki, 2002. "Purchasing Power Parity Theory Revisited: Recent Evidence from US Dollar and Japanese Yen," Global Business Review, International Management Institute, vol. 3(1), pages 53-61, February.
    26. 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.
    27. Bollen, Nicolas P. B. & Gray, Stephen F. & Whaley, Robert E., 2000. "Regime switching in foreign exchange rates: Evidence from currency option prices," Journal of Econometrics, Elsevier, vol. 94(1-2), pages 239-276.
    28. Hamilton, James D, 1989. "A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle," Econometrica, Econometric Society, vol. 57(2), pages 357-384, March.
    29. William Haraf & Thomas D. Willett, 1990. "Monetary Policy for a Volatile Global Economy," Books, American Enterprise Institute, number 53262, June.
    30. George S. Parikakis & Anna Merika, 2009. "Evaluating volatility dynamics and the forecasting ability of Markov switching models," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(8), pages 736-744.
    31. Eichengreen, B. & Masson, P. & Savastano, M. & Sharma, S., 1999. "Transition Strategies and Nominal Anchors on the Road to Greater Exchange-Rate Flexibility," Princeton Essays in International Economics 213, International Economics Section, Departement of Economics Princeton University,.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Diteboho Xaba & Ntebogang Dinah Moroke & Ishmael Rapoo, 2019. "Modeling Stock Market Returns of BRICS with a Markov-Switching Dynamic Regression Model," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 10-22.

    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. Chien-Hsiu Lin & Shih-Kuei Lin & An-Chi Wu, 2015. "Foreign exchange option pricing in the currency cycle with jump risks," Review of Quantitative Finance and Accounting, Springer, vol. 44(4), pages 755-789, May.
    2. Mendy, David & Widodo, Tri, 2018. "Two Stage Markov Switching Model: Identifying the Indonesian Rupiah Per US Dollar Turning Points Post 1997 Financial Crisis," MPRA Paper 86728, University Library of Munich, Germany.
    3. Suman Das & Saikat Sinha Roy, 2021. "Predicting regime switching in BRICS currency volatility: a Markov switching autoregressive approach," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 48(2), pages 165-180, June.
    4. Malika Hamadi & Andreas Heinen, 2011. "Ownership Structure and Firm Performance : Evidence from a non-parametric panel," DEM Discussion Paper Series 11-16, Department of Economics at the University of Luxembourg.
    5. Stéphane Goutte & Benteng Zou, 2012. "Continuous time regime switching model applied to foreign exchange rate," Working Papers hal-00643900, HAL.
    6. Josh Stillwagon & Peter Sullivan, 2020. "Markov switching in exchange rate models: will more regimes help?," Empirical Economics, Springer, vol. 59(1), pages 413-436, July.
    7. Wu, Jyh-Lin & Hu, Yu-Hau, 2009. "New evidence on nominal exchange rate predictability," Journal of International Money and Finance, Elsevier, vol. 28(6), pages 1045-1063, October.
    8. Robert Dixon & Zhichao Zhang & Yang Dai, 2016. "Exchange Rate Flexibility in China: Measurement, Regime Shifts and Driving Forces of Change," Review of International Economics, Wiley Blackwell, vol. 24(5), pages 875-892, November.
    9. Lucio Sarno, 2003. "Nonlinear Exchange Rate Models: A Selective Overview," Rivista di Politica Economica, SIPI Spa, vol. 93(4), pages 3-46, July-Augu.
    10. Constandina Koki & Stefanos Leonardos & Georgios Piliouras, 2020. "Exploring the Predictability of Cryptocurrencies via Bayesian Hidden Markov Models," Papers 2011.03741, arXiv.org, revised Dec 2020.
    11. Yuan, Chunming, 2011. "Forecasting exchange rates: The multi-state Markov-switching model with smoothing," International Review of Economics & Finance, Elsevier, vol. 20(2), pages 342-362, April.
    12. Chih-Nan Chen & Chien-Hsiu Lin, 2022. "Optimal carry trade portfolio choice under regime shifts," Review of Quantitative Finance and Accounting, Springer, vol. 59(2), pages 483-506, August.
    13. Andrew Ang & Allan Timmermann, 2012. "Regime Changes and Financial Markets," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 313-337, October.
    14. Michael Frömmel, 2010. "Volatility Regimes in Central and Eastern European Countries’ Exchange Rates," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 60(1), pages 2-21, February.
    15. Nikolsko-Rzhevskyy, Alex & Prodan, Ruxandra, 2012. "Markov switching and exchange rate predictability," International Journal of Forecasting, Elsevier, vol. 28(2), pages 353-365.
    16. Afanasyev, Dmitriy O. & Fedorova, Elena & Ledyaeva, Svetlana, 2021. "Strength of words: Donald Trump's tweets, sanctions and Russia's ruble," Journal of Economic Behavior & Organization, Elsevier, vol. 184(C), pages 253-277.
    17. Koki, Constandina & Leonardos, Stefanos & Piliouras, Georgios, 2022. "Exploring the predictability of cryptocurrencies via Bayesian hidden Markov models," Research in International Business and Finance, Elsevier, vol. 59(C).
    18. Tamgac, Unay, 2011. "Crisis and self-fulfilling expectations: The Turkish experience in 1994 and 2000-2001," International Review of Economics & Finance, Elsevier, vol. 20(1), pages 44-58, January.
    19. Diteboho Xaba & Ntebogang Dinah Moroke & Ishmael Rapoo, 2019. "Modeling Stock Market Returns of BRICS with a Markov-Switching Dynamic Regression Model," Journal of Economics and Behavioral Studies, AMH International, vol. 11(3), pages 10-22.
    20. Manamba Epaphra & Khatibu Kazungu, 2021. "Efficiency of Tanzania's foreign exchange market," African Development Review, African Development Bank, vol. 33(2), pages 368-381, June.

    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:sae:globus:v:20:y:2019:i:1:p:151-165. 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: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .

    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.