Nandwa, Boaz and Mohan, Ramesh (2007): A Monetary Approach to Exchange Rate Dynamics in Low-Income Countries: Evidence from Kenya.
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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.
|Item Type:||MPRA Paper|
|Original Title:||A Monetary Approach to Exchange Rate Dynamics in Low-Income Countries: Evidence from Kenya|
|Keywords:||Exchange rate; volatility; regime changes; Kenyan Shilling|
|Subjects:||C - Mathematical and Quantitative Methods > C3 - Multiple or Simultaneous Equation Models; Multiple Variables > C32 - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
F - International Economics > F3 - International Finance > F31 - Foreign Exchange
E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E58 - Central Banks and Their Policies
C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods; Simulation Methods
|Depositing User:||Ramesh Mohan|
|Date Deposited:||04. Nov 2007|
|Last Modified:||18. Feb 2013 16:05|
Campbell, J.Y., and Shiller, R.J. 1987. “Cointegration and Tests of Present Value Models,” Journal of Political Economy, 95, 1062-88.
Choudhry and Lawler. 1997. “The Monetary Model of Exchange Rates: Evidence from the Canadian Float of the 1950's,” Journal of Macroeconomics, 19, 349-362.
Culver S.E., and Papell, D. 1999. “Long-Run Purchasing Power Parity with Short-run Data: Evidence with a Null Hypothesis of Stationarity,” Journal of International Money and Finance, 18 (5), 751-768
Dickey, D. A. and W. A. Fuller. 1981. “Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root,” Econometrica 49, 1057-1072.
Dickey, D.A. and W. Fuller. 1979. “Distribution of Estimators for Autoregressive Time Series with a Unit Root,” Journal of the American Statistical Association, 74, 427-431.
Diebold, F.X. and R.S. Mariano. 1995. “Comparing Predictive Accuracy,” Journal of Business and Economic Statistics, 13, 253-263.
Dornbusch, R. 1976. “Expectations and Exchange Rate Dynamics,” Journal of Political Economy, Vol. 84, pp. 1161-76.
Engle, R. F. 1982. "Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation", Econometrica, 50, 987-1006.
Gonzalo, J. 1994. “Five alternative methods of estimating long-run equilibrium relationships, Journal of Econometrics, 60, 203-233.
Granger, C. 1988. “Causality, Cointegration, and Control, Journal of Economic Dynamics and Control,” 12, 511-59.
Hendry, D.F. and Doornik, J.A. 1994. “Modelling Linear Dynamic Econometric Systems,” Scottish Journal of Political Economy, 41, 1-33.
Johansen, S. 1988. “Statistical Analysis of Cointegration Vectors”, Journal of Economic Dynamics and Control, 12, 231-254.
Johansen, S. and K. Juselius. 1990. “Maximum Likelihood Estimation And Inference on Cointegration with Applications to the Demand for Money,” Oxford Bulletin of Economics and Statistics, 52, 169-210.
Johansen,S. 1991. “Estimation and Hypothesis Testing of Cointegrating Vectors in Gaussian Vector Autoregressive Models”, Econometrica, 59, 1551-1580.
K.A. Chrystal, R. MacDonald. 1995. “Exchange Rates, Financial Innovation and Divisia Money: the Sterling/Dollar Rate 1972-1990,” Journal of International Money and Finance, 14 (4) (1995) pp. 493-513.
MacDonald, D. and M.P. Taylor (1989) Foreign Exchange Market Efficiency And Cointegration: Some Evidence From The Recent Float, Economic Letters 29 (1), pp. 63-68.
McNown, R., and Wallace, M., 1989. “Cointegration Tests for Long Run Equilibrium in the Monetary exchange Rate Model,” Economics Letter, 31, 263-67.
Meese, R. 1986. “Testing for Bubbles in Exchange Markets: A Case of Sparkling Rates,” Journal of Political Economy, 94(2), 345-373.
Philips, P.C.B., and Perron, P. (1988) Testing for a Unit Root in Time Series Regressions,” Biometrika, 75, 335-346.
Young, A. 1992. “A Tale of Two Cities: Factor Accumulation and Technical Change in Hong Kong and Singapore,” NBER Macroeconomics Annual, 13-53.