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South African Exchange Rate After 2000s: An Econometric Investigation

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  • Leleng KEBALO

    (University of Lome, Togo)

Abstract

This paper is an econometric investigation, an analysis on the difficulty of modeling the South African exchange rate. The aim of the paper is to examine the nature of the existing relationship between the real exchange rate of the Rand, real prices of gold, platinum and the real interest rate differential through different empirical models, and this over the period going from January 2000 to September 2014. Our analysis shows that, over the same period, with different empirical methods, the variables used can be the determinants ofthe real value of the South African Rand, but at different horizons. To achieve our goals, longrun (Engle & Granger, 1987; Johansen, 1988) and short run (VAR process; Sims, 1980) analysis have been performed. We come to the conclusion that, the determinants of the Rand change according to the methods used and these do not therefore allow us to have robustresults. The long run analysis performed by Engle and Granger approach result to a lack of long run relationship among our variables. To have a robust idea on the lack of cointegrating relationship, we have performed another long run analysis: the vector error correction model (VECM approach) of Johansen which results on the existence of one cointegrating relation among real value of the Rand and their determinants. However, because of the lack of long run relationship resulting of the Engle & Granger approach, we have performed a short run analysis with the vector autoregressive process. We find that only the real platinum price in our study is a short term determinant of the real value of the Rand. The real impact is effective only at the end of the first quarter with a real appreciation of the Rand. The main surprise is the absence of impact of real price of gold shock on the real value of the Rand. Analyze the South African exchange rate through one empirical method/model to find their determinants can bebiased.

Suggested Citation

  • 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.
  • Handle: RePEc:ksp:journ6:v:3:y:2016:i:3:p:459-481
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    References listed on IDEAS

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    1. Cashin, Paul & Cespedes, Luis F. & Sahay, Ratna, 2004. "Commodity currencies and the real exchange rate," Journal of Development Economics, Elsevier, vol. 75(1), pages 239-268, October.
    2. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 39(3), pages 106-135.
    3. Arezki, Rabah & Dumitrescu, Elena & Freytag, Andreas & Quintyn, Marc, 2014. "Commodity prices and exchange rate volatility: Lessons from South Africa's capital account liberalization," Emerging Markets Review, Elsevier, vol. 19(C), pages 96-105.
    4. Balazs Egert, 2012. "Nominal and Real Exchange Rate Models in South Africa: How Robust are they?," CESifo Working Paper Series 3853, CESifo.
    5. Jeffrey Frankel, 2007. "On The Rand: Determinants Of The South African Exchange Rate," South African Journal of Economics, Economic Society of South Africa, vol. 75(3), pages 425-441, September.
    6. Johansen, Soren & Juselius, Katarina, 1990. "Maximum Likelihood Estimation and Inference on Cointegration--With Applications to the Demand for Money," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 52(2), pages 169-210, May.
    7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    8. Granger, C. W. J., 1981. "Some properties of time series data and their use in econometric model specification," Journal of Econometrics, Elsevier, vol. 16(1), pages 121-130, May.
    9. Ronald MacDonald, 2009. "Exchange Rate Economics," Books, Edward Elgar Publishing, number 2944.
    10. Shaun de Jager, 2012. "Modelling South Africas equilibrium real effective exchange rate A VECM approach," Working Papers 5020, South African Reserve Bank.
    11. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    12. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
    13. Mr. Ronald MacDonald & Mr. Luca A Ricci, 2003. "Estimation of the Equilibrium Real Exchange Rate for South Africa," IMF Working Papers 2003/044, International Monetary Fund.
    14. Hoffmann, Mathias & MacDonald, Ronald, 2009. "Real exchange rates and real interest rate differentials: A present value interpretation," European Economic Review, Elsevier, vol. 53(8), pages 952-970, November.
    15. Chen, Yu-chin & Rogoff, Kenneth, 2003. "Commodity currencies," Journal of International Economics, Elsevier, vol. 60(1), pages 133-160, May.
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    More about this item

    Keywords

    Exchange rate; Raw materials; Vector Auto-Regressive; Co-integration;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • D53 - Microeconomics - - General Equilibrium and Disequilibrium - - - Financial Markets
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • G01 - Financial Economics - - General - - - Financial Crises
    • G02 - Financial Economics - - General - - - Behavioral Finance: Underlying Principles
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt

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