The banking industry, as the most important financial intermediary, has an important role in attracting deposits and granting loans. In recent years, the banking network has undergone a reduction of the growth of deposits and change of deposit portfolio from term deposits to volatility deposits. These two phenomena have made banks susceptible to liquidity crisis. In this paper, the effect of banking withdrawal on GDP and inflation is studied by considering the relationship between banking network and macro economy and using a dynamic stochastic general equilibrium model and data from 1360-1392. Bayesian method is used to estimate the parameters. Also, Brocks and Gelman method is used to examine the model. The results of the model indicate that the sudden withdrawal of deposits reduces bank lending, investment and production. Increased debts to the Central Bank will increase interest rates on deposits and loans and, in turn, increases credit provision and financing of production.
1. آمارها و دادهها، بانک مرکزی جمهوری اسلامی ایران.
2. دادههای حسابهای مالی ایران، بانک مرکزی جمهوری اسلامی ایران .
ب) منابع و مآخذ لاتین
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Ahmadyan, A. (2016). Modeling a Dynamic Stochastic General Equilibrium Model for the Iranian Bank Withdrawal. The Journal of Economic Policy, 7(14), 77-103.
MLA
Azam Ahmadyan. "Modeling a Dynamic Stochastic General Equilibrium Model for the Iranian Bank Withdrawal", The Journal of Economic Policy, 7, 14, 2016, 77-103.
HARVARD
Ahmadyan, A. (2016). 'Modeling a Dynamic Stochastic General Equilibrium Model for the Iranian Bank Withdrawal', The Journal of Economic Policy, 7(14), pp. 77-103.
VANCOUVER
Ahmadyan, A. Modeling a Dynamic Stochastic General Equilibrium Model for the Iranian Bank Withdrawal. The Journal of Economic Policy, 2016; 7(14): 77-103.
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