Estimating the Impact of Banks' debt to the Central Bank on the Volume of Liquidity in Iran's Economy Using the ARDL Approach

In economic literature, increasing each of the components of the basic monetary resources with the same coefficient called the increasing coefficient causes an increase in liquidity; But the degree of influence of each of the components of basic monetary resources may not be the same. Therefore, the composition of the components of basic monetary resources can also affect liquidity. Therefore, the current article seeks to investigate the impact of each component of monetary base resources on liquidity. For this purpose, the research model has been designed based on theoretical foundations and the statistical data of the years 1357-1400 have been used, and the model used is the self-explanatory approach with distributed intervals (ARDL). From the model estimation findings, it can be concluded that there are short-term dynamics related to long-term relationships. The interpretation of the error correction coefficients, which is equal to -0.72, shows that the short-term and long-term coefficients converge directly to each other. Also, the results of this study show that a one percent increase in the net debt of banks to the central bank increases the volume of liquidity in the short term and long term by 0.36 and 0.64 percent, respectively. Other findings of the model show that all components of basic monetary resources have a positive and significant effect on liquidity volume.