Predicting the Volume of Money in the Economic Geography of Iran

Various economic forecasts are based on econometric methods and the great potential of these models in estimating particular equations has led to the widespread use of these models. One of the popular methods of time series modeling is average cumulative moving auto regression (ARIMA) method known as the Box - Jenkins. In this paper, we use this technique along with time series data to forecast 1973 - 2009 models for prediction of money volume and liquidity. Our results indicate that the volume of money and liquidity follow a first-order autoregressive process so that the liquidity and money volume in each period, are , respectively, 1.24 and 1.72 times as high as those at an earlier period. In this study, regarding the models estimated, the volume of money and liquidity were estimated in up to 2016.