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
Allen, Franklin and Douglas Gale. (1998). "Optimal Financial Crises". Journal of finance53(4): 1245-84.
Diamond, Douglas and Dybvig, Philip (1983). "Bank Runs, Deposit Insurance, and Liquidity". The Journal of Political Economy91(3): 401-19.
Dib, A. (2010). "Banks, Credit Market Frictions, and Business Cycle". Bank of Canada: Working Paper.
Gerali, Andrea. Neri, Stefano. Sessa, Luca & Signoretti, Federico M. (2008). "Credit and Banking in a DSGE Model. Bank of Italy:working paper.
Hafstead, Marc & Smith Josephine (2012). Financial shocks, bank intermediation, and monetary policy in a DSGE model. Stanford University:Working paper.
Smith, B. (1984)."Private Information, Deposit Interest Rates and the Stability of the Banking System". Journal of Monetary Economics14(3): 293-317.
Totzek, Alexander (2009). Banks and Early Deposit Withdrawals in a New Keynesian Framework.Economics working paper/Christian-Albrechts-Universität Kiel,Department of Economics,No. 2009,08.
Zhang, L. (2009). Bank Capital Regulation, the Lending Channel and Business Cycles. Deutsche Bundesbank, Economic StudiesWorking paper, Series 1, No 33/2009.
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.
)