Anticipated Liquidity and Inflation and its Effects on Agriculture Value Added

The purpose of doing this study was forecasting liquidity and inflation for the period 1352-1387. After that surveyed unit root and Wallis-Moore nonparametric and Durbin-Watson parametric tests, we used Harmonic; ARMA and ARCH patterns for forecasting and finally the best models were selected for prediction. Results showed that ARMA (2, 1) and GARCH (1, 1) are more efficient models for prediction inflation rate and liquidity, respectively. One of the Iran's economic problems in the past decades is increases liquidity volume that cause raises the price index and therefore, it will create inflation. In the other, agriculture sector is one of the major sectors of economy that influenced by macro-economic policies. Accordingly the second aim of this study is survey impacts of inflation rate and liquidity on agriculture value added. The results of this part showed that there is a direct relation between liquidity, inflation rate and agriculture value added.