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Taylor rules and exchange rate predictability in emerging economies

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  • Galimberti, Jaqueson K.
  • Moura, Marcelo L.

Abstract

This study demonstrates the relationship between exchange rate determination and an endogenous monetary policy represented by Taylor rules. We fill a gap in the literature by focusing on a group of fifteen emerging economies that adopted free-floating exchange rates and inflation targeting beginning in the mid-1990s. Because of the limited span of the time series, which is a common obstacle to studying emerging economies, we employ panel data regressions to produce more efficient estimates. Following the recent literature, we use a robust set of out-of-sample statistics, incorporating bootstrapped and asymptotic distributions for the Diebold-Mariano statistic, the Clark and West statistic and Theil's U ratio. By evaluating different specifications for the Taylor rule exchange rate model based on their out-of-sample performances, we find that a present-value forward-looking specification shows strong evidence of exchange rate predictability.

Suggested Citation

  • Galimberti, Jaqueson K. & Moura, Marcelo L., 2013. "Taylor rules and exchange rate predictability in emerging economies," Journal of International Money and Finance, Elsevier, vol. 32(C), pages 1008-1031.
  • Handle: RePEc:eee:jimfin:v:32:y:2013:i:c:p:1008-1031
    DOI: 10.1016/j.jimonfin.2012.08.006
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    2. Khyati Kathuria & Nand Kumar, 2022. "Pandemic‐induced fear and government policy response as a measure of uncertainty in the foreign exchange market: Evidence from (a)symmetric wild bootstrap likelihood ratio test," Pacific Economic Review, Wiley Blackwell, vol. 27(4), pages 361-379, October.
    3. Emerson Fernandes Marçal & Eli Hadad Junior, 2016. "Is It Possible to Beat the Random Walk Model in Exchange Rate Forecasting? More Evidence for Brazilian Case," Brazilian Review of Finance, Brazilian Society of Finance, vol. 14(1), pages 65-88.
    4. Rossi Junior, Jose Luiz & Felicio, Wilson Rafael de Oliveira, 2014. "Common Factors and the Exchange Rate: Results From the Brazilian Case," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 68(1), April.
    5. Felício, Wilson Rafael de Oliveira & Rossi, José Luiz Júnior, 2013. "Common factors and the exchange rate: results from the Brazilian case," Insper Working Papers wpe_318, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    6. Nikola Fabris & Milena Lazić, 2022. "Evaluating the Role of the Exchange Rate in Monetary Policy Reaction Function of Advanced and Emerging Market Economies," Journal of Central Banking Theory and Practice, Central bank of Montenegro, vol. 11(2), pages 77-96.
    7. Moura, Marcelo L. & Pereira, Fatima R. & Attuy, Guilherme de Moraes, 2013. "Currency Wars in Action: How Foreign Exchange Interventions Work in an Emerging Economy," Insper Working Papers wpe_304, Insper Working Paper, Insper Instituto de Ensino e Pesquisa.
    8. Cuiabano, Simone, 2017. "Long-run equilibrium exchange rate in Latin America and Asia: a comparison using cointegrated vector," TSE Working Papers 17-837, Toulouse School of Economics (TSE).
    9. Han, Liyan & Xu, Yang & Yin, Libo, 2018. "Does investor attention matter? The attention-return relationships in FX markets," Economic Modelling, Elsevier, vol. 68(C), pages 644-660.
    10. Ruch,Franz Ulrich, 2021. "Neutral Real Interest Rates in Inflation Targeting Emerging and Developing Economies," Policy Research Working Paper Series 9711, The World Bank.
    11. Montes, Gabriel Caldas & Ferreira, Caio Ferrari, 2020. "Does monetary policy credibility mitigate the fear of floating?," Economic Modelling, Elsevier, vol. 84(C), pages 76-87.
    12. repec:fgv:epgrbe:v:68:n:1:a:3 is not listed on IDEAS
    13. Jaqueson K. Galimberti & Marcelo L. Moura, 2011. "Improving the reliability of real-time Hodrick-Prescott filtering using survey forecasts," Centre for Growth and Business Cycle Research Discussion Paper Series 159, Economics, The University of Manchester.
    14. Hakan Yilmazkuday, 2008. "Structural Breaks in Monetary Policy Rules: Evidence from Transition Countries," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 44(6), pages 87-97, November.
    15. Chen, Chuanglian & Yao, Shujie & Ou, Jinghua, 2017. "Exchange rate dynamics in a Taylor rule framework," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 46(C), pages 158-173.

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    More about this item

    Keywords

    Taylor rule exchange rate model; Forecasting; Emerging economies; Panel data; Bootstrap;
    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
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics
    • F47 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Forecasting and Simulation: Models and Applications

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