The effects of external money creation on macroeconomic, considering the inter - bank market with a dynamic general equilibrium method

Document Type : RESEARCH PAPER

Authors

1 Isfahan University

2 Associate Professor of Economics, Department of Economics, Faculty Administrative Sciences and Economics, University of Isfahan.

3 Ph.D. Student, Faculty of Administrative Sciences and Economics, University of Isfahan..

Abstract

Deposits are the most valuable source of banks . analyzing the effect of change of lending power on macroeconomic variables such as production and inflation is important. On the other hand , the inter -bank market will help regulate liquidity in the banking sector . defining the inter - bank market in the public balance model gives us a better definition of the traditional effects of policy instruments such as the reserve requirement rate. in this study , we tried to consider the inter - bank sector and the balance sheet of commercial banks and the central bank by using the random dynamic general balance model to finance the circulation and investment in the housing sector , on the ability of bank lending and macroeconomic variables. After studying the dynamics of the model with a view to considering the inter - bank market , the lending banks will always allocate a percentage of their resources with different processes , such as the establishment of the bank - related companies to invest in the housing sector . due to the negative momentum of the reserve requirement rate, the outcome of the investment of commercial banks in the housing sector is assessed as a result of the economic conditions in the economy and long - term conflict of bank resources in the sector , reducing facilities and production rates . this leads to an increase in inflation and decrease in household purchasing power from consumption goods and capital reduction and reduction

Keywords


References
Afshari. (2020). Interbank Market Failure and the Effects of the Basel III Regulations in a DSGE Model for Iran. Iranian Journal of Economic Studies, 8 (1), 163-183.
Agénor, P. R., &Alper, K. (2009). Research and Monetary Policy Department.‏
Ahmadian, A (2015). Modeling Bank Invasion in the Framework of a Stochastic Dynamic General Equilibrium Model for Iran. Economic Policy Making, 7 (14), 77-103.
Bernanke, B. S. Gertler, M. & Gilchrist, S. (1999).The financial accelerator in a quantitative business cycle framework. Handbook of macroeconomics1, 1341-1393.
Baz Mohammadi, H., & Hussein. (2000). Money supply in the Iranian economy. Quarterly Journal of Planning and Budgeting, 5 (3), 69-96.
Basu, S. Gottschalk, J. Schule, Werner, S. Vellodi, N. and Yang, S. (2013). The Macroeconomic Effects of Natural Resource Extraction: Applications to Papua New Guinea, International Monetary Fund, No.13-138.
Behn, M., Daminato, C., &Salleo, C. (2019). A dynamic model of bank behaviour under multiple regulatory constraints.‏
Carrera, C., & Vega, H. (2012). Interbank market and macroprudential tools in a DSGE model (No. 2012-014). Banco Central de Reserva del Perú.‏
Corrado, L., & Schuler, T. (2017). Interbank market failure and macro-prudential policies. Journal of Financial Stability33, 133-149.‏‏
Central Bank of the Islamic Republic. Economic report and balance sheet. Operation of the Central Bank of the Islamic Republic of Iran. Balance sheet and profit and loss statement of the Central Bank of the Islamic Republic of Iran.
De Walque, Gregory de; Prirard, Olivier&Rouabah, Abdelaziz, (2010). Financial (in) stability, supervision and liquidity injections: a dynamoc general equlibrium approach‖. The economic Journal, 120, 1234-1261.
Dargahi, H. &Hadian, M. (2016). Comparison of the effects of monetary shocks due to increasing coefficient and monetary base in the Iranian economy. Journal of Economics, 17 (67), 189-219.
Goodfriend, M. &McCallum, B. T. (2007). Banking and interest rates in monetary policy analysis: aQuantitative exploration. Journal of Monetary Economics, 54(5), 1480-1507.
Giri, F. (2018). Does interbank market matter for business cycle fluctuation? An estimated DSGE model with financial frictions for the euro area, Economic Modeling, 1-13.
Gersbach, H., & Faure, S. (2020). On the Money Creation Approach to Banking.‏
Ifionu, E., &Akinpelumi, O. F. (2015). Macroeconomic variables and money supply: Evidence from Nigeria. African Research Review, 9(4), 288-307.
Hloušek, M. (2013). DSGE model with housing sector: application to the Czech economy. In Proceedings of 31th International Conference Mathematical Methods in Economics (pp. 261-266).‏
Iacoviello, M. (2005). House prices, borrowing constraints, and monetary policy in the business cycle. American economic review95(3), 739-764.
Komijani, Abrishami, Hamid, & Rouhani. (2018). The nature of the bank and the process of creating bank money; Critique of common views and implications. Bi-Quarterly Journal of Economic Research, 15 (29), 9-38.
Levine, R., &Zervos, S. (1998). Stock markets, banks, and economic growth. American economic review, 537-558.‏
Lang, G., &Schröder, M. (2013). Do we need a separate banking system? An assessment. An Assessment, 13-011.‏
Miri, Ashraf Sadat &Baghestani, Massoud, (2016), Optimal Banking System in Conventional Banking and Non-Usury Banking, The First International Conference on Islamic Banking and Financing.
Mohebbi, S., Sam, Shahrestani, Hamid, HojbarKiani, &Kambiz. (2017). Financial shocks and the role of monetary policy in the Iranian economy, assuming the existence of an interbank market in a DSGE model. Journal of Economic Research and Policy, 25 (81), 123-153.
Nazarpour, Mohammad Naghi, Haghighi, Meysam. (1392). The role of the central bank in the implementation of monetary policy through the interbank market. Islamic Economics, 13 (49), 59-84.
NiliFarhad, ShahcheraMahshid, & Taheri Mandana. (2015). Investigating the determination of liquidity creation and the role of banks' financial intermediation in Iran.
Rafiei, Soraya, Emami, Karim, &Ghaffari. (2019). The Impact of Monetary Policy on the Performance of Banks Using Stochastic Dynamic General Equilibrium Model (DSGE. Economic Research, 19 (72), 1-36.
Parvin, Shakeri, Abbas, Ahmadian, & Azam. (2014). Assessing the effects of monetary policy balances in the country's banking network on key variables of the Iranian economy (random dynamic equilibrium general approach). Iranian Economic Research, 19 (58), 77-115.
Pirahmadi, Marzieh, Afshari, Zahra, Sarem, Mehdi. (2018). Bank Interbank Market Failure and the Effect of Wing 3 Regulations on a DSGE Model in Iran. Iranian Journal of Economic Studies, 8 (1), 163-183.
RafieiQaraShiran, Soraya, Emami, Karim, &Ghaffari. (2019). Identifying the factors affecting monetary policy on the banking system. Journal of Economic Modeling, 13 (46), 1-24.
Shah Hosseini, Bahrami, & Javid. (2013). Designing a New Keynesian Stochastic Dynamic General Equilibrium Model for the Iranian Economy Considering the Banking Sector. Iranian Economic Research, 17 (53), 55-83.
Samsami Hossein, DavoodiParviz, &JahaniGurwanJalal.(2014). Costs of creating money in conventional banking system and Islamic financing strategy.
Schuler, T., &Corrado, L. (2016). Interbank market failure and macroprudential
policies, Journal of Financial Stability, 1-52.
ShahbaziGhiasi, M., &Sarvarian, H. (2016). Pathology of the banking system Patterns and theoretical foundations of the relationship between the bank and the firm and its analysis in the Iranian banking system.
Tavaklian, Hussein and Sarem, Mehdi. (2017). DSGE patterns in Dynare software (modeling, solving and estimation based on Iranian economy). Tehran: Monetary and Banking Research Institute.