A Study of the Financial Instability and Banking Intermediaries by Using a DSGE Modeling Approach

Authors

1 Department of Economics, Qazvin Branch, Islamic Azad University, Ghazvin, Iran.

2 Faculty of Economics, University of Allameh Tabataba'i, Tehran, Iran.

Abstract

This paper is to develop a quantitative monetary DSGE model with financial intermediaries and deals with the endogenously determined balance sheet constraints. Moreover, the present paper studies a DSGE model with financial intermediation as in Gertler and Karadi (2011), a monopolistically competitive banking sector to investigate the role of banks in the propagation of disturbances, and to assess the importance of shocks to the banking sector and to the financial system in explaining economic fluctuations in Iran. The model is estimated using Bayesian techniques. According to the findings, the banking sector attenuates the effects of demand shocks (i.e. monetary policy shock), strengthens the effects of supply shocks (i.e. technology shock) at the national level, and amplifies the transmission of shocks in Iranian economy. Furthermore, credit shocks in the banking system and financial shocks are the important sources of macroeconomic fluctuations in Iran. Results show that financial shock is more important in explaining the variation in the lending rate. The nominal deposit rate and financial leverage reduce by this shock and, as expected, the return equity capital rate reduces too.
 

Keywords


Bernanke, B. (1983). Nonmonetary Effects of the Financial Crisis in the Propagation of the Great Depression. American Economic Review, 73(1), 257-276.
Bernanke, B., & Mark, G. (1989). Agency Costs, Net Worth and Business Fluctuations. American Economic Review, 79(1), 14-31.
Bernanke, B., Gertler, M., & Gilchrist, S. (1999). The Financial Accelerator in a Quantitative Business Cycle Framework. In J. B.Taylor and M. Woodford (Eds.), Handbook of Macroeconomics. Amsterdam: North-Holland.
Carlstrom, Ch. T., Timothy, S. F., & Paustian, M. (2016). Optimal Contracts, Aggregate Risk, and the Financial Accelerator. American Economic Journal: Macroeconomics, 8(1), 119-147.
Christiano, L., Eichenbaum, M., & Evans, C. (2005). Nominal Rigidities and the Dynamics Effects of a Shock to Monetary Policy. Journal of Political Economy, 1(113), 1-45.
Christiano, L. J., Trabandt, M., & Walenti, K. (2011). Introducing Financial Frictions and Unemployment in to a Small Open Economy Model. Journal of Economic Dynamics and Control, 35(12), 1999-2041.
Damjanovic, T., Damjanovic, V., & Nolan, Ch. (2017). Default, Bailouts and the Vertical Structure of Financial Intermediaries. Working Paper, Retrieved from http://oxfordre.com/economics/abstract/10.1093/acrefore/9780190625979
DeJong, D. N., & Dave, C. (2007). Structural Macro Econometrics. Princeton University Press, Retrieved from https://press.princeton.edu/titles/9622.html
Duncan, A., & Nolan, Ch. (2017a). Disputes, Debt and Equity. University of Glasgow Economics Discussion Paper, Retrieved from https://www.kent.ac.uk/economics/documents/research/papers/2017/1719.pdf
---------- (2017b). Financial Macroeconomics with Complete Business Cycle Risk Markets. Working Paper, Retrieved from https://www.kent.ac.uk/economics/documents/research/papers/2017/1719.pdf
Giri, F. (2018). Does Interbank Market Matter for Business Cycle Fluctuation? An Estimated DSGE Model with Financial Frictions for the Euro Area. Economic Modeling, 1(75), 10-22.
Gertler, M., & Kiyotaki, N. (2015). Banking, Liquidity, and Bank Run in an Infinite Horizon Economy. American Economic Review, 105(7), 2011–2043.
---------- (2009). Financial Intermediation and Credit Policy in Business Cycle Analysis. Handbook of Monetary Economics, 3(53), 547-599.
Gertler, M., Kiyotaki, N., & Prestipino, A. (2016). Wholesale Banking and Bank Runs in Macroeconomic Modeling of Financial Crises. In J. B. Taylor and H. Uhlig (Eds.), Handbook of Macroeconomics (2). North-Holland: Elsevier.
Hafstead, M., & Smith, J. (2012). Financial Shocks, Bank Intermediation, and Monetary Policy in a DSGE Model. Stanford University, Working Paper, Retrieved from https://pdfs.semanticscholar.org/7e70/af7c9abce56cf0a4f7cac2ea81bd62af00f7pdf
Iacoviello, M. (2005). House Prices, Borrowing Constraints, and Monetary Policy in the Business Cycle. American Economic Review, 95(1), 739-764. 
Iacoviello, M., & Neri, S. (2010). Housing Market Spillovers: Evidence from an Estimated DSGE Model. American Economic Journal: Macroeconomics, 2(2), 125-64.
Kiyotaki, N., & Moor, J. (1997). Credit Cycles. Journal of Political Economy, 105(2), 211-248.
Merola, R. (2014). The Role of Financial Friction during the Crisis: an Estimated DSGE Model. Dynare Working Paper Series, Retrieved from www.dynare.org/wp-repo/dynarewp033.pdf
Palic, I. (2018). The Empirical Evaluation of Monetary Policy Shock in Dynamic Stochastic General Equilibrium Model with Financial Frictions: Case of Croatia. International of Engineering Business Management, 10(1), 1-11.
Stephen P. M., Varadi, A., & Yashiv, E. (2017). The Interaction of Financial Frictions and Labor Market Frictions in a DSGE Model. Working Paper, Retrieved from www.patrickminford.net/emf/emf_2017/Frictions%20Working%20Paper.pdf
Smets, F., & Wouters, R. (2007). Shocks and frictions in U.S. Business Cycles: A Bayesian DSGE Approach. American Economic Review, 97(3), 586-606.