Haruna, Issahaku and Abdulai, Hamdeeya and Kriesie, Maryiam and Harvey, Simon K. (2015): Exchange rate forecasting in the West African Monetary Zone: a comparison of forecast performance of time series models. Published in: Ghanaian Journal of Economics , Vol. 3, No. December (30 December 2015): pp. 45-69.
Preview |
PDF
MPRA_paper_97009.pdf Download (940kB) | Preview |
Abstract
It has become an undisputable fact in economics and finance that conventional exchange rate determination models cannot outperform the random walk model in out-of-sample forecasting. We evaluate the empirical veracity of this well-known fact in the West African Monetary Zone (WAMZ). We compare the out-of-sample forecast accuracy of the random walk hypothesis vis-a-vis the Autoregressive Moving Average (ARIMA) model, Generalised Autoregressive Conditional Heteroskedastic (GARCH) based models, and Vector Autoregressive (VAR) model. The root mean square error (RMSE) is used as the measure of forecast accuracy. We find evidence to refute the body of economic literature that supports the view that forecasts from the RWM are unbeatable. We show that if a non-linear RWM is estimated, and the RMSE is used as the measure of forecast performance, the VAR model, the ARIMA model, and the GARCH(-M) model generally outperform the RWM. However, when the assumption of linearity is sustained, the RWM convincingly outperforms all other models. We show that the type of model to use to achieve forecast accuracy depends on the time horizon, and the country for which the forecast is to be made.
Item Type: | MPRA Paper |
---|---|
Original Title: | Exchange rate forecasting in the West African Monetary Zone: a comparison of forecast performance of time series models |
English Title: | Exchange rate forecasting in the West African Monetary Zone: a comparison of forecast performance of time series models |
Language: | English |
Keywords: | forecasting, exchange rate, West African Monetary Zone (WAMZ), time series models, Root Mean Square Error (RMSE), forecast evaluation |
Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C15 - Statistical Simulation Methods: General E - Macroeconomics and Monetary Economics > E6 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook F - International Economics > F3 - International Finance > F31 - Foreign Exchange F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance |
Item ID: | 97009 |
Depositing User: | Dr. Issahaku Haruna |
Date Deposited: | 07 Jul 2020 14:02 |
Last Modified: | 07 Jul 2020 14:02 |
References: | Abhyankar, A, Sarno, L. and Valente, G. (2005). Exchange rates and fundamentals: evidence on the economic value of predictability, Journal of International Economics, 66, pp.325–348. Adjasi C. K. D., Biekpe N. B. and Osei, K. A. (2011). Stock prices and Exchange Rate Dynamics in Selected African Countries: a bivariate Analysis, African Journal of Economic and Management Studies, 2(2), pp.143-161. Alagidede, P. (2011). Return behaviour in Africa’s emerging equity markets, The Quarterly Review of Economics and Finance, 51(2), pp.133–140. Balaban, E. (2004). Comparative Forecasting Performance of Symmetric and Asymmetric Conditional Volatility models of an exchange rate, Economic Letters, 83, pp.99-105. Balogun, E. D. (2007). Effects of Exchange Rate Policy on Bilateral Export Trade of West African Monetary Zone (WAMZ) Countries, West African Journal of Monetary and Economic Integration, 8(2). Also available at http://mpra.ub.uni.muenchen.de/6234. Bollerslev, T. (1986). Generalised autoregressive conditional heteroskedasticity, Journal of Econometrics, 31, pp.307-327. Brock, W. A., Dechert, W. D and J.A. Scheinkman (1987). A Test for Independence Based on the Correlation Dimension, mimeo. Engle R. F. (1982). Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50(4), pp.987-1007. Faust, J, Rogers J. H. and Wright, J. H. (2003). Exchange Rate Forecasting: the errors we’ve really made, Journal of International Economics, 60, pp.35-59. Fullerton, T. M., Hattori, M. and Calderon, C. (2001). Error correction exchange rate modelling: evidence for Mexico, Journal of Economics and Finance, 25, pp.358–368. Jhingan, M. L. (2005). The Economics of Development Planning. Vrinda Publications Ltd, New Delhi. Kilian, L. and Taylor, M. P. (2003). Why is it so difficult to beat the random walk forecast of exchange rates? Journal of International Economics, 60, pp.85-107. Kim, H. (2012). Nonlinearity, macroeconomic factors and the dollar-sterling real exchange rate, International Journal of Finance and Economics, Vol. 17, pp.337–346. MacDonald, R. (1999). Exchange rate behaviour: are the fundamentals important? Economics Journal, 109, pp.673–691. Madura, J., Martin, A. D. and Wiley, M. (1999). Forecast Bias and Accuracy of Exchange Rates in Emerging Markets, Journal of Multinational Financial Management, 9, pp.27-43. Mark, N. and Sul, D. (2001). Nominal exchange rates and monetary fundamentals: evidence from a small post-Bretton Woods panel, Journal of International Economics, 53, pp.29–52. Meese, R. and Rogoff, K. (1983). Empirical exchange rate models of the seventies: do they fit out of sample? Journal of International Economics, 14, pp.3–24. Moosa, I. and Burns, K. (2014). The unbeatable random walk in exchange rate forecasting: Reality or myth? Journal of Macroeconomics, 40, pp.69–81. Ono, S. (2013). The effects of foreign exchange and monetary policies in Russia, Economic Systems, 37, pp.522–541. Simpson, M. W. and Grossmann, A. (2011). Can a relative purchasing power parity-based model outperform a random walk in forecasting short-term exchange rates? International Journal of Finance and Economics, 16, pp.375–392. Sissoko, Y. and Dibooglu, S. (2006). The exchange rate system and macroeconomic fluctuations in Sub-Saharan Africa, Economic Systems, 30, pp.141–156. Tsay, R. S. (2005). Analysis of financial time series. 2nd edn. Wiley, New Jersey. Vilasuso, J. (2002). Forecasting Exchange Rate Volatility, Economic Letters, 76, pp.59-64. West, K. D. and Cho, D. (1995). The Predictive Ability of Several Models of Exchange Rate Volatility, Journal of Econometrics, 69, pp.367-391. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/97009 |