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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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    1. Utkarsh Kumar & Wasim Ahmad & Gazi Salah Uddin, 2024. "Bayesian Markov switching model for BRICS currencies' exchange rates," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(6), pages 2322-2340, September.

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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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