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Nominal and Real Exchange Rate Models in South Africa: How Robust Are They?

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  • Balázs Égert

Abstract

This paper addresses difficulties in modelling exchange rates in South Africa. Real exchange rate models of earlier research seem to be sensitive to the sample period considered, alternative variable definition, data frequency and estimation methods. Alternative exchange rate models proposed in this paper including the stock-flow approach and variants of the monetary model are not fully robust to data frequency and alternative estimation periods, either. Nevertheless, adding openness to the stock-flow approach and augmenting the monetary model with share prices and the country risk premium improves significantly the fit of the models around the large (nominal and real) depreciation episodes of 2002 and 2008. Interestingly, real commodity prices do not help explain the large depreciations. While these models do a reasonably good job in-sample, their out-of-sample forecasting properties remain poor.

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  • Balázs Égert, 2012. "Nominal and Real Exchange Rate Models in South Africa: How Robust Are They?," EconomiX Working Papers 2012-18, University of Paris Nanterre, EconomiX.
    • Handle: RePEc:drm:wpaper:2012-18
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    Cited by:

    1. Mehmet Balcilar & Rangan Gupta & Clement Kyei & Mark E. Wohar, 2016. "Does Economic Policy Uncertainty Predict Exchange Rate Returns and Volatility? Evidence from a Nonparametric Causality-in-Quantiles Test," Open Economies Review, Springer, vol. 27(2), pages 229-250, April.
    2. Mehmet Balcilar & Rangan Gupta & Charl Jooste, 2014. "Is the Rand Really Decoupled from Economic Fundamentals?," Working Papers 201439, University of Pretoria, Department of Economics.
    3. Hyeyoen Kim & Doojin Ryu, 2013. "Forecasting Exchange Rate from Combination Taylor Rule Fundamental," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 49(S4), pages 81-92, September.
    4. Danglun Luo & Qianwei Ying, 2014. "Political Connections and Bank Lines of Credit," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 50(03), pages 5-21, May.
    5. Yu Hsing, 2016. "Determinants of the ZAR/USD exchange rate and policy implications: A simultaneous-equation model," Cogent Economics & Finance, Taylor & Francis Journals, vol. 4(1), pages 1151131-115, December.
    6. Kebalo, Leleng, 2016. "South african exchange rate after 2000s: an econometric investigation," MPRA Paper 72440, University Library of Munich, Germany.
    7. Goodness C. Aye & Mehmet Balcilar & Adél Bosch & Rangan Gupta & Francois Stofberg, 2013. "The out-of-sample forecasting performance of non-linear models of real exchange rate behaviour: The case of the South African Rand," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 10(1), pages 121-148, April.
    8. Leleng KEBALO, 2016. "South African Exchange Rate After 2000s: An Econometric Investigation," Journal of Economics Bibliography, KSP Journals, vol. 3(3), pages 459-481, September.

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    More about this item

    Keywords

    exchange rate; real exchange rate; nominal exchange rate; commodity; Balassa-Samuelson; productivity; monetary model; stock-flow approach; openness; country risk;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • F31 - International Economics - - International Finance - - - Foreign Exchange
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • P17 - Political Economy and Comparative Economic Systems - - Capitalist Economies - - - Performance and Prospects

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