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Exchange rate predictability with nine alternative models for BRICS countries

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  • Salisu, Afees A.
  • Gupta, Rangan
  • Kim, Won Joong

Abstract

This paper seeks to add to the literature on short-run exchange rate predictability by focusing on BRICS exchange rates. We utilize both time-varying and constant parameter models, and account for a variety of macro fundamentals, including those suggested by Taylor rules. For the sample of countries, a Taylor rule model with homogeneous coefficients without interest rate smoothing as well as PPP- and UIRP-based models offers a better exchange rate predictability than the random walk model. For this sample of countries, constant parameter models appear to predict exchange rates better than time varying approaches for monthly data but not quarterly. We provide a range of sensitivity analysis, which on some occasions influence the paper's conclusions. We rationalize these results as being partly due to relatively stable relationship among variables (fixed over time-varying) and sample size (monthly over quarterly).

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  • 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).
    • Handle: RePEc:eee:jmacro:v:71:y:2022:i:c:s0164070421000732
    DOI: 10.1016/j.jmacro.2021.103374
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    as
    1. Gourinchas, Pierre-Olivier & Tornell, Aaron, 2004. "Exchange rate puzzles and distorted beliefs," Journal of International Economics, Elsevier, vol. 64(2), pages 303-333, December.
    2. repec:bla:scandj:v:78:y:1976:i:2:p:200-224 is not listed on IDEAS
    3. Charles Engel & Kenneth D. West, 2005. "Exchange Rates and Fundamentals," Journal of Political Economy, University of Chicago Press, vol. 113(3), pages 485-517, June.
    4. John B. Taylor, 1999. "Introduction to "Monetary Policy Rules"," NBER Chapters, in: Monetary Policy Rules, pages 1-14, National Bureau of Economic Research, Inc.
    5. Afees A. Salisu & Juncal Cuñado & Kazeem Isah & Rangan Gupta, 2021. "Stock markets and exchange rate behavior of the BRICS," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 40(8), pages 1581-1595, December.
    6. Nelson C. Mark, 2009. "Changing Monetary Policy Rules, Learning, and Real Exchange Rate Dynamics," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(6), pages 1047-1070, September.
    7. Barbara Rossi, 2013. "Exchange Rate Predictability," Journal of Economic Literature, American Economic Association, vol. 51(4), pages 1063-1119, December.
    8. Caraiani, Petre, 2017. "Evaluating exchange rate forecasts along time and frequency," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 60-81.
    9. Charles Engel & Nelson C. Mark & Kenneth D. West, 2008. "Exchange Rate Models Are Not as Bad as You Think," NBER Chapters, in: NBER Macroeconomics Annual 2007, Volume 22, pages 381-441, National Bureau of Economic Research, Inc.
    10. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    11. Barnett, William A. & Duzhak, Evgeniya A., 2019. "Structural Stability Of The Generalized Taylor Rule," Macroeconomic Dynamics, Cambridge University Press, vol. 23(4), pages 1664-1678, June.
    12. Stephen A. Ross, 2013. "The Arbitrage Theory of Capital Asset Pricing," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 1, pages 11-30, World Scientific Publishing Co. Pte. Ltd..
    13. Engel, Charles, 1996. "The forward discount anomaly and the risk premium: A survey of recent evidence," Journal of Empirical Finance, Elsevier, vol. 3(2), pages 123-192, June.
    14. John B. Taylor, 1999. "A Historical Analysis of Monetary Policy Rules," NBER Chapters, in: Monetary Policy Rules, pages 319-348, National Bureau of Economic Research, Inc.
    15. Byrne, Joseph P. & Korobilis, Dimitris & Ribeiro, Pinho J., 2016. "Exchange rate predictability in a changing world," Journal of International Money and Finance, Elsevier, vol. 62(C), pages 1-24.
    16. Afees A. Salisu & Juncal Cuñado & Kazeem Isah & Rangan Gupta, 2021. "Oil Price and Exchange Rate Behaviour of the BRICS," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(7), pages 2042-2051, May.
    17. John B. Taylor, 2001. "The Role of the Exchange Rate in Monetary-Policy Rules," American Economic Review, American Economic Association, vol. 91(2), pages 263-267, May.
    18. Taylor, John B., 1999. "The robustness and efficiency of monetary policy rules as guidelines for interest rate setting by the European central bank," Journal of Monetary Economics, Elsevier, vol. 43(3), pages 655-679, June.
    19. Engel, Charles & West, Kenneth D., 2006. "Taylor Rules and the Deutschmark: Dollar Real Exchange Rate," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1175-1194, August.
    20. Charles Engel & Nelson C. Mark & Kenneth D. West, 2015. "Factor Model Forecasts of Exchange Rates," Econometric Reviews, Taylor & Francis Journals, vol. 34(1-2), pages 32-55, February.
    21. Colombo, Emilio & Pelagatti, Matteo, 2020. "Statistical learning and exchange rate forecasting," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1260-1289.
    22. Taylor, John B. (ed.), 2001. "Monetary Policy Rules," National Bureau of Economic Research Books, University of Chicago Press, edition 1, number 9780226791258, September.
    23. Dinci J. Penzin & Afees A. Salisu, 2020. "Analysis of the asymmetric response of exchange rate to interest rate differentials: Evidence from the MINT countries," Economics Bulletin, AccessEcon, vol. 40(2), pages 938-943.
    24. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-1176, December.
    25. Charles Engel & Kenneth D. West, 2004. "Accounting for Exchange-Rate Variability in Present-Value Models When the Discount Factor Is Near 1," American Economic Review, American Economic Association, vol. 94(2), pages 119-125, May.
    26. Stock, James H & Watson, Mark W, 1996. "Evidence on Structural Instability in Macroeconomic Time Series Relations," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 11-30, January.
    27. Molodtsova, Tanya & Papell, David H., 2009. "Out-of-sample exchange rate predictability with Taylor rule fundamentals," Journal of International Economics, Elsevier, vol. 77(2), pages 167-180, April.
    28. Charles Engel & Kenneth D. West, 2004. "Accounting for Exchange Rate Variability in Present-Value Models When the Discount Factor is Near One," NBER Working Papers 10267, National Bureau of Economic Research, Inc.
    29. Zainab Sani & Afees Adebare Salisu & Eucharia Onyia & Onyebuchi Anih & Lawrence Kanu, 2020. "Modeling Exchange rate -interest rate differential nexus in BRICS: The role asymmetry and structural breaks," Economics and Business Letters, Oviedo University Press, vol. 9(2), pages 73-83.
    30. Salisu, Afees A. & Adekunle, Wasiu & Alimi, Wasiu A. & Emmanuel, Zachariah, 2019. "Predicting exchange rate with commodity prices: New evidence from Westerlund and Narayan (2015) estimator with structural breaks and asymmetries," Resources Policy, Elsevier, vol. 62(C), pages 33-56.
    31. Joseph P. Byrne & Dimitris Korobilis & Pinho J. Ribeiro, 2018. "On The Sources Of Uncertainty In Exchange Rate Predictability," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 59(1), pages 329-357, February.
    32. Boivin, Jean, 2006. "Has U.S. Monetary Policy Changed? Evidence from Drifting Coefficients and Real-Time Data," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 38(5), pages 1149-1173, August.
    33. Tanya Molodtsova & David H. Papell, 2013. "Taylor Rule Exchange Rate Forecasting during the Financial Crisis," NBER International Seminar on Macroeconomics, University of Chicago Press, vol. 9(1), pages 55-97.
    34. Goodfriend, Marvin, 1991. "Interest rates and the conduct of monetary policy," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 34(1), pages 7-30, January.
    35. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    36. Timothy Cogley & Giorgio E. Primiceri & Thomas J. Sargent, 2010. "Inflation-Gap Persistence in the US," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 43-69, January.
    37. Frankel, Jeffrey A, 1979. "On the Mark: A Theory of Floating Exchange Rates Based on Real Interest Differentials," American Economic Review, American Economic Association, vol. 69(4), pages 610-622, September.
    38. Hooper, Peter & Morton, John, 1982. "Fluctuations in the dollar: A model of nominal and real exchange rate determination," Journal of International Money and Finance, Elsevier, vol. 1(1), pages 39-56, January.
    39. Kim, Chang-Jin & Nelson, Charles R., 2006. "Estimation of a forward-looking monetary policy rule: A time-varying parameter model using ex post data," Journal of Monetary Economics, Elsevier, vol. 53(8), pages 1949-1966, November.
    40. 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.
    41. Yash P. Mehra, 2002. "The Taylor principle, interest rate smoothing and Fed policy in the 1970s and 1980s," Working Paper 02-03, Federal Reserve Bank of Richmond.
    42. Ince, Onur, 2014. "Forecasting exchange rates out-of-sample with panel methods and real-time data," Journal of International Money and Finance, Elsevier, vol. 43(C), pages 1-18.
    43. John B. Taylor, 1999. "Monetary Policy Rules," NBER Books, National Bureau of Economic Research, Inc, number tayl99-1.
    44. Musa, Abdullahi & Salisu, Afees A. & Aliyu, Victoria O. & Mevweroso, Chioma R., 2021. "Analysis of asymmetric response of exchange rate to interest rate differentials: The case of African Big 4," The North American Journal of Economics and Finance, Elsevier, vol. 55(C).
    45. Taylor, John B., 1993. "Discretion versus policy rules in practice," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 39(1), pages 195-214, December.
    46. repec:idn:journl:v:22:y:2019:i:3b:p:1-24 is not listed on IDEAS
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    More about this item

    Keywords

    Exchange Rate Predictability; BRICS; time-varying parameter (TVP) model; Taylor rule; random walk;
    All these keywords.

    JEL classification:

    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

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