Abstract
The purpose of this paper is to provide an adequate forecasting method for the money supply in the Barbadian economy. This would assist the Central Bank in making decisions on monetary intervention. The performance of ARIMA and vector autoregressive forecasting models are investigated along with combinations of these models. The results of this study suggest that there are reasonable options available for obtaining reliable forecasts of the Barbados money supply. Our findings indicate that seasonal factors and interest rate effects should be comprehended within the forecasting model. We accomplished this through a combination forecasting procedure in which seasonal effects are captured by an ARIMA model and interest rates are introduced through a vector autoregressive forecasting model as exogenous variables.
Similar content being viewed by others
References
Bates, J. M.; Granger, C. W. J. "The Combination of Forecasting,"Operation Research Quarterly, 20, 1969, pp. 451–68.
Granger, C. W. J.; Ramanathan, R. "Improved Methods of Combining Forecasting,"Journal of Forecasting, 3, 1984, pp. 197–204.
Reid, D. J. "A Comparative Study of Time Series Prediction Techniques on Economic Data," Ph.D. Thesis, University of Nottingham, 1969.
Sims, C. A. "Macroeconomics and Reality,"Econometrica, 48, 1, January 1980, pp. 1–48.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Greenidge, K., McGlean, W. Forecasting the barbados money supply. International Advances in Economic Research 3, 170–175 (1997). https://doi.org/10.1007/BF02294937
Issue Date:
DOI: https://doi.org/10.1007/BF02294937