South African Exchange Rate After 2000s: An Econometric Investigation

Leleng Kebalo ()
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Leleng Kebalo: University of Lome, Togo

Journal of Economics Bibliography, 2016, vol. 3, issue 3, 459-481

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.

Keywords: Exchange rate; Raw materials; Vector Auto-Regressive; Co-integration (search for similar items in EconPapers)
JEL-codes: C13 C58 D53 D81 G01 G02 G15 H63 (search for similar items in EconPapers)
Date: 2016
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Working Paper: South african exchange rate after 2000s: an econometric investigation (2016)
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Persistent link: https://EconPapers.repec.org/RePEc:ksp:journ6:v:3:y:2016:i:3:p:459-481

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