The inter-temporal relationship between risk, capital and efficiency: ‎Evidences from Iranian Banks

Document Type : RESEARCH PAPER

Authors

1 PhD Candidate in economics, Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

2 Associate Professor, Theoretical Economics Dept., Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

3 Professor, Theoretical Economics Dept., Faculty of Economics, Allameh Tabataba’i University, Tehran, Iran

Abstract

The increase in concentration in the banking sector, along with the problems of the recent financial and economic crises, has shown the importance of banking regulations against the high risk caused by the imbalance in the banks' balance sheets and one of the basic measures in the development of banks is to increase the efficiency of these financial institutions. Therefore, efficiency in banks always has been a matter of attention, and the weakness of the banking system can be a serious threat to the stability of the macro economy. In this way, banks with their credit operations and financing for different economic sectors, they provide suitable conditions for investment and cause the increase and growth of capital and finally the national production.
The aim of the current research is to inter temporal relationship between risk, capital and efficiency in Iran's banking system. For this purpose, the data of Iran's commercial and specialized banks have been collected during the years 2006 to 2019 and to evaluate the model, In order to measure the model, the efficiency of banks has been estimated using the stochastic frontier model (SFA), Then, the relationship between risk, efficiency and capital is investigated using the seemingly unrelated regression (SUR) approach. In total, the obtained results show the existence of a relationship between capital and efficiency with risk. The results indicated that with the increase in the capital ratio, the risk of banks decreases and also increasing efficiency increases risk, also with the increase in the internal rate of return of banks, the capital ratio increases and Increasing the size of the bank increases efficiency.
Extended Abstract
Introduction
As important financial institutions, banks are the basis for the prosperity of financial markets and economic growth by reducing the information gap and uncertainty in the capital market. Today, due to the huge changes that have taken place in economic structures and financial systems, the role of banks as an influential factor in the economy has become more prominent and important than before. In fact, the nature of banks' activity is such that although they do not show signs of crisis or bankruptcy on the surface, they can carry hidden crises with them in different forms and these crises have caused the officials of the regulatory and executive institutions of the financial systems to consider the risk management of such financial institutions and the factors affecting their risk level more seriously and expertly than before (Asayesh, 2015). The aim of the current research is to inter temporal relationship between risk, capital and efficiency in Iran's banking system.
Methodology
To calculate the efficiency of banks as service units, there are two approaches; first, a bank that has a high efficiency can produce more products than other banks with a set of assumed and fixed data. In this definition, there is a discussion on changing the amount of production and it is called product-oriented efficiency. Second, the ratio of the minimum possible cost to the cost realized to provide a certain amount of service or output is considered compared to all the units that exist in that industry, which is called the input-oriented approach.
Considering the integration and application of the efficiency variable in an econometric model and the preference of the SFA estimation method in the literature that examines the relationship between capital, risk and efficiency, in this research the stochastic frontier function method has been used to estimate the efficiency levels of the banking system (Emami Meybodi,2000). 
In this research, inter-temporal relationship means examining the relationship between variables based on time trends. This relationship is examined based on the empirical studies of Kwan and Isenbis in 1995, Jensen in 1986, Williams in 2003 and Michalski in 2007, within the framework of the following system of simultaneous equations:
 
 
 
 
Results
the data of Iran's commercial and specialized banks have been collected during the years 2006 to 2019. The results of the model estimation are presented in the following table:
The results of estimation of the model




EFF


 CAP


RISK


 




P>|z|


Coefficient


P>|z|


Coefficient


P>|z|


Coefficient


Variable




0.07


0.3323


0.00


-0.1125


-


-


Risk




0.00


1.1096


-


-


0.01


-0.3635


Cap




0.08


0.0548


0.98


-0.0001


0.05


0.0081


Size




0.08


-0.2695


0.25


0.0311


0.81


0.0149


Tpbt




0.00


-0.0009


-


-


-


-


Obsta




-


-


0.00


1.4447


-


-


Roa




-


-


-


-


0.1


0.0005


Nlta




-


-


0.00


0.0494


0.06


0.0429


Eff




0.00


1.1838


0.56


-0.0231


0.17


-0.1117


Cons




Source: research findings
According to the significance level of the Risk model, it can be seen that only the coefficient of the capital ratio variable has a significant difference from zero at the 5% error level and the cost efficiency variable has a significant difference from zero at the 10% error level. In the estimated model, the capital ratio variable has a coefficient of -0.363, based on which, assuming the stability of other conditions, a one percent increase in the capital ratio has led to a 0.363 percent decrease in the bank's risk. The results of the CAP model show that the coefficient of risk variables, roa and cost efficiency has a significant difference from zero at the 5% error level. In the estimated model, the risk variable has a coefficient of -0.112, based on which, assuming the stability of other conditions, a one percent increase in the bank's risk has led to a decrease of 0.112 percent in the bank's capital. In the EFF model, the results show that the coefficient of capital variables and off-balance sheet items to total assets has a significant difference from zero at the 5% error level, and the risk variable has a significant difference from zero at the 10% error level.
The aim of the current research is to inter temporal relationship between risk, capital and efficiency in Iran's banking system. For this purpose, the data of Iran's commercial and specialized banks have been collected during the years 2006 to 2019 and to evaluate the model, In order to measure the model, the efficiency of banks has been estimated using the stochastic frontier model (SFA), Then, the relationship between risk, efficiency and capital is investigated using the seemingly unrelated regression (SUR) approach. In total, the obtained results show the existence of a relationship between capital and efficiency with risk. The results indicated that the increase in the capital ratio, lesds to decrease the risk of banks and also increasing the efficiency leads to risk increasing. also with an increase in the return on assets of banks, the capital ratio increases and Increasing the size of the bank increases efficiency.
Ethical Considerations
Funding: The authors did not receive any financial resources for the research, writing and publication of this article
Authors’ contribution: The present article is taken from the doctoral dissertation of Somayeh Yarifard with Supervisor of Ali Asghar Salem at the University of Allameh Tabataba.
Conflict of interest: The authors of the article declare that there is no conflict of interest in publishing the presented article.
Acknowledgments: We appreciate all the people and institutions that helped the author in conducting this research.
 

Keywords

Main Subjects


Abdul-Majid, M., Saal, D.S., Battisti, G., 2010. Efficiency in Islamic and conventional banking: An international comparison. J. Product. Anal. 34, 25–43. DOI: http://dx.doi.org/10.1007/s11123-009-0165-3.
Allen, L. & Saunders A. 2004. Incorporating systematic influences into risk measurements: a survey of the literature. Journal of Financial Service Research, 26 (2): 40-61.
Altunbas Y, Carbo S, Gardener E, Molyneux PH, 2007. Examining the Relationships between Capital, Risk and Efficiency in European Banking. European Financial Management, Vol. 13, No. 1, 49–70.
Amel-Zadeh A. and G. Meeks .2011. “Bank Failure, Mark-to-Market and the Financial Crisis”. Working Paper Series available on SSRN. DOI:http://dx.doi.org/10.2139/ssrn.1494452
Azarpandar, F. (2014), Investigating the relationship between liquidity risk and credit risk in banks, Master's Thesis, Islamic Azad University, Research Sciences Unit, Tehran. .( In Persian)
Berger, A.N., DeYoung, R., 1997. Problem loans and cost efficiency in commercial banks. J. Bank. Financ. 21, 849–870. DOI:https://doi.org/10.1016/S0378-4266(97)00003-4
Berger, A.N., Hasan, I, Zhou, M, 2010. The effects of focus versus diversification on bank performance: Evidence from Chinese banks. J. Bank. Financ. 34, 1417–1435.
Carvallo, O., Kasman, A, 2005. Cost efficiency in the Latin American and Caribbean banking systems. J. Int. Financ. Mark. Inst. Money 15, 55–72. DOI: https://doi.org/10.1016/j.intfin.2004.02.002
Čihák, M., Hesse, H., 2010. Islamic banks and financial stability: An empirical analysis. J. Financ. Serv. Res. 38, 95–113.
Danesh Jafari, D. and Shafi', A. (2010). Investigating factors affecting technical efficiency in Iranian banks using the mixed/multilevel effects model. Economic Research, 45(97), 1-33. SID:https://sid.ir/paper/11973/fa. .( In Persian)
Ding D, Sickles R, 2018. Frontier efficiency, capital structure, and portfolio risk: An empirical analysis of U.S. banks. BusinessResearchQuarterly21, 262-277.
DOI: http://dx.doi.org/10.1023/B:FINA.0000037545.38154.8a.
Foos, D., L. Norden & M. Weber. (2010). Loan growth and Riskiness of Banks, Journal of Banking & Finance.
Fries, S., Taci, A., 2005. Cost efficiency of banks in transition: Evidence from 289 banks in 15 post-communist countries. J. Bank. Financ. 29, 55–81. DOI: https://doi.org/10.1016/j.jbankfin.2004.06.016
Hassanzadeh,A)2008( efficiency and factors affecting it in the banking system, economic essays, year 4, number 7, pages 75-98. SID. https://sid.ir/paper/108917/fa.( In Persian)
Heydari, S. A. (2005). Investigating the relationship between capital adequacy ratio and financial variables in Iran's banking system. Business Management Perspective (Management Perspective (Management Message)), 6(21-22), 185-199.. SID: https://sid.ir/paper/478130/fa.( In Persian)
Heydari, Z. (2013), The impact of macroeconomic variables on the outstanding claims of banks in the period from 1999 to 2009, Journal of Money and Economy, year 2, number 4, pages 191-219. SID. https://sid.ir/paper/168085/fa.( In Persian)
  https://civilica.com/doc/1408768.( In Persian)
Johnes, J., Izzeldin, M., Pappas, V., 2014. A comparison of performance of Islamic and conventional banks 2004-2009. J. Econ. Behav. Organ. 103, 1–15. DOI: https://doi.org/10.1016/j.intfin.2020.101279
Karas, A., Schoors, K., Weill, L., 2010. Are private banks more efficient than public banks? Econ. Transit. 18, 209–244. DOI:https://doi.org/10.1111/j.1468-0351.2009.00364.x
Khoshsima, R. and Shahikitash, M. (2013), The effect of credit, operational and liquidity risks on the efficiency of the banking system of Iran, Scientific Research Quarterly of Program and Budget, 7th year, number 4, pp. 69-95. DOI: 20.1001.1.22519092.1391.17.4.4.0.( In Persian)
Lepetit, L., Nys, E., Rous, P., Tarazi, A., 2008. The expansion of services in European banking: implications for loan pricing and interest margins. J. Bank. Financ. 32, 2325–2335.
Mehrara, M. and Sehti, E.,(2013), Investigating the effect of uncertainty of macroeconomic indicators on the credit performance of banks (case study: Iran), Economic Journal, 11th year, 4th issue, pages 1-21.
Miraskari, S. R. and Hosseini Nesaz, H. (2016). Analysis of the impact of macroeconomic variables on the credit risk of banks. Monetary and financial economy (knowledge and development), twenty-fourth year, number 31. SID. https://sid.ir/paper/391929/fa.( In Persian)
Mirzaei, H.; Falihi, N.; Mashhadian Melki, M. R. (2012) Uncertain impact of macroeconomic variables (exchange rate and inflation) on the credit risk of legal customers of Tejarat Bank, Economic Sciences Quarterly, 6th year, No. 18, pp. 113-137. SID. https://sid.ir/paper/229232/fa.( In Persian)
Mirzaei, N. (2010). Investigating factors affecting the credit risk of legal entities of banks (a case study of branches of the National Bank of Iran, Tehran). Trend (Economic Research Trends), 19(58), 67-98 SID. https://sid.ir/paper/202208/fa. .( In Persian)
Moon, H.R., Perron, B, 2005. Efficient estimation of the seemingly unrelated regression cointegration model and testing for purchasing power parity. Econ. Rev. 23.
Nowrozi,P.( 2013), The effect of macro variables on the credit risk of banks in Iran, Economic Research and Policy Quarterly, year 7, number 20, pages 237-257. .( In Persian).
Olawale Samuel Luqman.2014. The Effect of Credit Risk on the Performance of Commercial Banks in Nigeria. DOI:http://dx.doi.org/10.2139/ssrn.2536531 .
Rezaei, A. (2012). Investigating the behavior of risk-based adequacy ratio in Iran's banking system. Journal of Economic Policy 5(10), 119-137.20.1001.1.26453967.1392.5.10.5.6 DOI: .( In Persian)
Saeed, M. Izzeldin, M. Hassan, K. Pappas, V. 2020. The inter-temporal relationship between risk, capital and efficiency: The case of Islamic and conventional banks. Pacific-Basin Finance Journal 62 (2020) 101328.
Saida Ardakani, S.; Farhadipour, M. R.; Jafari Nadushan, M. R. (2013). Investigating the relationship between the liquidity risk of the demand coverage standard and the credit risk of banks. Financial and Banking Development Quarterly, second year, number 3, pp. 1-22. https://civilica.com/doc/629206.( In Persian)
Salem, A. A. and Khatibi, S.) 2014), Evaluation of the ability of Islamic banks in competition with conventional banks from the perspective of cost efficiency comparison, Economic Research Quarterly, 15th year, number 57, summer 2014, pages 141-164. https://civilica.com/doc/1407015.( In Persian)
 Sealey, C.W., Lindley, J.T., 1977. Inputs, outputs and a theory of production and cost at depository financial institutions. J.Finan. 32, 1251–1266.
Sufian, F., Noor, M.A.N.M., 2009. The determinants of Islamic banks’ efficiency changes: Empirical evidence from the MENA and Asian banking sectors. Int. J. Islam. Middle East. Financ. Manag. 2, 120–138. DOI:https://doi.org/10.1108/17538390910965149.
Weill, L., 2003. Banking efficiency in transition economies. Econ. Transit. 11, 569–592. DOI: https://doi.org/10.1111/1468-0351.00155.