The Efficacy of ARIMAX and SARIMA Models in Predicting Monthly Currency in Circulation in Ghana
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[1] W. Fuller,et al. Distribution of the Estimators for Autoregressive Time Series with a Unit Root , 1979 .
[2] A Predictive Model for Monthly Currency in Circulation in Ghana , 2013 .
[3] F. Diebold,et al. Comparing Predictive Accuracy , 1994, Business Cycles.
[4] George E. P. Box,et al. Time Series Analysis: Forecasting and Control , 1977 .
[5] Gonzalo Camba-Mendez,et al. Modelling the Daily Banknotes in Circulation in the Context of the Liquidity Management of the European Central Bank , 2002, SSRN Electronic Journal.
[6] Monthly Effect on the Volume of Currency in Circulation in Ghana , 2013 .
[7] P. Young,et al. Time series analysis, forecasting and control , 1972, IEEE Transactions on Automatic Control.
[8] G. Box,et al. On a measure of lack of fit in time series models , 1978 .
[9] Steven C. Hillmer,et al. Modeling Time Series with Calendar Variation , 1983 .
[10] Faruk Balli,et al. Modelling the Currency in Circulation for the State of Qatar , 2010 .
[11] Nasiru Suleman,et al. Modeling the Pattern of Reserve Money Growth in Ghana , 2012 .
[12] S. Halim,et al. Automatic seasonal auto regressive moving average models and unit root test detection , 2007, 2007 IEEE International Conference on Industrial Engineering and Engineering Management.