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A Monetary Approach to Exchange Rate Dynamics in Low-Income Countries: Evidence from Kenya

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Author Info
Nandwa, Boaz
Mohan, Ramesh

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Abstract

The flexible price monetary model assumes that both the purchasing power parity (PPP) and uncovered interest parity (UIP) hold continuously. In addition, the model posits that money market equilibrium exists, which helps to determine the exchange rate. This paper explores exchange rate determination in low-income economies by applying a monetary model to Kenya to examine the exchange rate dynamics in a post-float exchange rate regime. We apply a multivariate cointegration and error correction model (ECM) to investigate whether the long-run exchange rate equilibrium and the rate of adjustment to the long-run equilibrium hold, respectively. Finally, we evaluate the relative performance of ECM versus a random walk framework in the out-of-sample forecasting. We find that the random walk performs better than the restricted model.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 5581.

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Date of creation: 02 Nov 2007
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Handle: RePEc:pra:mprapa:5581

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Keywords: Exchange rate volatility regime changes Kenyan Shilling

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models
F31 - International Economics - - International Finance - - - Foreign Exchange
E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Other Model Applications

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  1. Hendry, David F & Doornik, Jurgen A, 1994. "Modelling Linear Dynamic Econometric Systems," Scottish Journal of Political Economy, Scottish Economic Society, vol. 41(1), pages 1-33, February.
  2. 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.
  3. Dornbusch, Rudiger, 1976. "Expectations and Exchange Rate Dynamics," Journal of Political Economy, University of Chicago Press, vol. 84(6), pages 1161-76, December. [Downloadable!] (restricted)
  4. Meese, Richard A, 1986. "Testing for Bubbles in Exchange Markets: A Case of Sparkling Rates?," Journal of Political Economy, University of Chicago Press, vol. 94(2), pages 345-73, April. [Downloadable!] (restricted)
  5. Campbell, John Y & Shiller, Robert J, 1987. "Cointegration and Tests of Present Value Models," Journal of Political Economy, University of Chicago Press, vol. 95(5), pages 1062-88, October. [Downloadable!] (restricted)
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  6. Gonzalo, Jesus, 1994. "Five alternative methods of estimating long-run equilibrium relationships," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 203-233. [Downloadable!] (restricted)
  7. Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-63, July.
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  8. MacDonald, Ronald & Taylor, Mark P., 1989. "Foreign exchange market efficiency and cointegration : Some evidence from the recent float," Economics Letters, Elsevier, vol. 29(1), pages 63-68. [Downloadable!] (restricted)
  9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254. [Downloadable!] (restricted)
  10. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July. [Downloadable!] (restricted)
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