Investigating the Effective Factors on the Performance of Banks Listed on the Tehran Stock Exchange with the Combined Approach of DEMATEL-ANP

Document Type : Research Paper

Authors

1 Ph.D. Student of Economic, Mofid University, Qom, Iran.

2 Associate Professor of Industrial Engineering, Urmia University of Technology, Urmia, Iran.

10.22103/jdc.2022.19206.1218

Abstract

Objective: To study the main and sub-influential factors affecting the performance of banks in order to form the financial stability of the national economy and on the other hand in improving the optimal management of the banking system is of great importance. In the studies and evaluations of IMF economists, it is generally believed that the factors affecting the optimal performance of the banking system in the long run have profound effects on the economies of countries, on the other hand, banks play an important role in achieving macroeconomic goals. And their proper and optimal performance, which act as the economic stimulus of the country, has a significant role in advancing the macroeconomic goals of countries and is considered one of the important indicators of economic growth that failure to pay attention to this issue can lead to disruption. The balance of domestic and foreign accounts of the country and affect the performance of banks, in this regard, the banks themselves face a variety of risks that the study of these factors is also a priority. In a way that forces them to react and be sensitive and take the necessary measures to improve their performance and exposes the use of solutions recommended by international economic organizations and indicators of related economic models. The purpose of this study was to investigate the financial performance of banks by identifying the effective indicators and their interaction and evaluating the effectiveness and mutual influence of the main and sub-criteria affecting the financial performance of banks operating in the stock market. Sensitivity to market risk) and their sub-criteria with emphasis on the devaluation of the national currency through the exchange rate position during the years 2015-2020.
Method: Today, with the complexity of important economic issues and the importance of speed in reaching the answer, in addition to classical methods, new techniques that have grown significantly in recent years, to solve many of these issues by optimizing methods to solve many Unknowns are provided. Based on the research background and factors of Kamels model, the main indicators and sub-criteria affecting the financial performance of 18 banks active in Tehran Stock Exchange were identified and in this regard, six main indicators and twenty-three sub-criteria affecting the performance of the banking system were identified. In the next step, twenty-three sub-criteria in terms of weight importance are compared with the degree of interaction and their relative importance, and their prioritization is measured based on the relative importance of the factors and because factors and variables are not independent of each other. On the one hand, the combined multi-criteria decision-making techniques used by DEMATEL and ANP are known as DANP, which is a well-known tool used in recent years to address various MCDM issues such as performance appraisal and selection of management strategies. Has gone and also cause and effect relationships between factors have been investigated. Then, with the combined decision-making methods of Demetel multi-criteria and neural network process, interactive communications and their weighting coefficients are determined.
Results and Conclusion: Among the results are the priority of 6 main factors including capital adequacy, asset management, management ability, income, liquidity management and risk sensitivity and 23 sub-factors of bank size criteria, total facilities, total assets, lending facilities and receivables. From non-governmental entities, total income, inactive assets, other deposits, participation bonds, cash and operating profit and loss with weight coefficients were of great importance. However, in terms of comparing interaction and relative importance coefficient, the main index of sensitivity to risk was in the first place, but it was much less important. Among the sub-criteria, national monetary value, operating expenses, liquidity risk and bank size were more interactive but less important. Therefore, it is very important to prioritize these important influential factors in the strategic plans and executive actions of banks. From the results of internal communication, it was found that the six main indicators in terms of weight importance are the priority of capital adequacy, asset management, management ability, total income, liquidity management and risk sensitivity, respectively, while in comparison with the degree of interaction and importance. Their relative influences include risk sensitivity, asset management, capital adequacy, management ability, total revenue, and liquidity management, respectively. Comparing the results, it was found that the weight of the risk sensitivity index in the banking system is significantly different from the relative importance of it. And increase banking risks, which will have a negative impact on the performance of banks, and in this case, the implementation of monetary policies with market operations to improve the performance and increase the volume of deposits in the banking sector will be provided.

Keywords

Main Subjects


ارضا، امیرحسین و قاسم‌پور، شیوا (1396). رتبه‌بندی بانک‌های خصوصی ایران بر اساس مدل کملز با استفاده از رویکرد ترکیبی فرایند تحلیل سلسله‌مراتبی و آراس. راهبرد مدیریت مالی، (3)5، 118-99.
بایبوردی، اتابک؛ بحری ثالث، جمال؛ جبارزاده کنگرلویی، سعید و زواری رضایی، اکبر (1401). الگوریتم ترکیبی دلفی فازی و دیمتل فازی در طراحی و تبیین سرمایه ارتباطی بانک‌ها. دوفصلنامه علمی حسابداری دولتی، 8(2)، 90-81.
بهمنی، میرهاشمی نائینی، سیمین السادات (1394). بررسی اثر بازاری کردن بانکداری بر انتقال سیاست پولی از مجرای اعطای وام. فصلنامه علمی نظریه‌های کاربردی اقتصاد، 2(3)، 119-144.
پورمهر، سپهر دوست، نظیری و محمدکاظم، مهرگان (1398). تأثیر متغیرهای کلان اقتصادی و کیفیت مدیریت بر سودآوری بانک‌های خصوصی؛ رهیافت الگوی خود رگرسیون برداری ساختاری. فصلنامه تحقیقات مدل‌سازی اقتصادی، 9(34)، 254-201.
تمیزی، علیرضا (1399). تأثیر نوسانات نرخ ارز بر حجم سپرده‌های بانکی ایران. مجله توسعه و سرمایه، 9(2)، 136-123.
ثقفی، سیف، ولی‌الله (1384). شناسایی و اندازه‌گیری نسبت‌های مالی و متغیرهای اقتصادی بنیادی مؤثر بر سلامت و ثبات نظام بانکی در ایران. پژوهشنامه اقتصادی، 5(17)، 112-65.
دباغ، رحیم، رئیسی دیبا و علی خانلوی، صانع (1399). بررسی تأثیرگذاری و تأثیرپذیری عوامل مؤثر بر بهره‌وری منابع انسانی با روش‌های تصمیم‌گیری چندمعیاره (موردمطالعه شرکت توزیع برق آذربایجان شرقی). نشریه کیفیت و بهره‌وری صنعت برق ایران، (4)9، 99-83.
دباغ، رحیم، گلمرادی، حسن و باقری، آرش (1398). بررسی عملکرد مالی بانک‌های اسلامی و غیراسلامی در کشورهای منتخب با استفاده از مدلCAMEL. فصلنامه مطالعات مالی و بانکداری اسلامی، 4، 114-85.
دباغ، رحیم (1384). سیاست‌های اشتغالزایی کشورهای مختلف و ایران. فصلنامه پژوهش و برنامه ریزی در آموزش عالی. (3)11  (۳) :۱۶۶-۱۴۷
دل‌افروز، نرگس؛ همایون‌فر، مهدی و تقی‌پور تمیجانی، مریم (1398). مدیریت ریسک اعتباری در بانک‌ها با استفاده از رویکرد ترکیبی. مهندسی مالی و مدیریت اوراق بهادار، (38)10، 116-94.
عبداللهی پور، محمدصادق؛ بت‌شکن، محمد هاشم و سرگلزایی، مصطفی (1399). ارزیابی اثر شاخص‌های کملز (CAMELS) بر بازده سرمایه تعدیل شده به ریسک (RAROC) در بانک‌های پذیرفته شده در بازار سرمایه ایران. نشریه چشم‌انداز مدیریت مالی، (32)10، 80-57.
علیمردانی، الهام و عباسیان، عزت اله (1398). طراحی الگوی غیرخطی برای بررسی اثر هم زمان کفایت سرمایه و سرمایه‌گذاری بانک‌ها در شرکت‌ها بر وام‌دهی. پژوهش در حسابداری و علوم اقتصادی، 3(5)، 14-1.
فرهنگ، امیرعلی، اثنی‌عشری، ابوالقاسم، ابوالحسنی، اصغر، رنجبر فلاح، محمدرضا و بیابانی، جهانگیر (1397). سرمایه بانک، ریسک نقدینگی و اعتباری در بانک‌های ایران. فصلنامه علمی  نظریه‌های کاربردی اقتصاد، (4)5، 247-227.
کوهی لیلان، بابک، دباغ، کیاالحسینی، سید ضیاءالدین و رهبر، فرهاد (1400). بررسی عوامل مؤثر بر ثبات نظام بانکی در کشور‌های منتخب منطقه منا. مجله توسعه و سرمایه، 6(1)، 18-1.
مرادپور، مجتبی؛ پورآقاجان، عباسعلی و عباسیان، محمد مهدی (1401). ارائه الگوی سلسله‌مراتبی سنجش عملکرد شتاب‌دهنده‌های مالی در بانک‌های دولتی ایران. دوفصلنامه علمی حسابداری دولتی، 8(2)، 126-113.
نادری، جلال، موسویان، ندیری، زارعی. (1398). بررسی تطبیقی ریسک اعتباری در بانکداری اسلامی و بانکداری متعارف (با تأکید بر تأثیر عوامل خاص بانکی). دوفصلنامه جستارهای اقتصادی، (32)16، 87-61.‎
References
Abdollahipour, M.S., Bot shken Breaker, M.H., & Sargolzaei, M. (2020). Assessing the effect of CAMELS on the return on risk-adjusted capital (RAROC) in banks accepted in the Iranian capital market. Journal of Financial Management Vision, (32) 10, 57-80 [In Persian].
Agnello, L., & Sousa, R.M. (2012). How do banking crises impact on income inequality? Applied Economics Letters, 19(15), 1425-1429.
Alimrdani, E., & Abbasian, E. (2019). Desigening a nonlinear model to examine the effect of both capital adequacy and investment of bank in companies on lending. Reserch in Accounting and Economic Sciences, 3(5),14-1 [In Persian].
Aliyeva, U. (2020). The impact of currency devaluation on the banking sector of Azerbaijan. Available at SSRN 3698650.
Ahmadyan, A. (2018), Design of a Rating System in Banking Supervision in the Banking Network: CAMELS Approach. Quarterly Journal of Economic Research and Policies, 26 (85), 7-31 [In Persian].
Bahmani, M., Mirhashemi & Naeini, S. (2015). Investigation the effect of banking marketization in monetary policy transmission through lending channel. Quarterly Journal of Applied Theories of Economics, 2(3), 119-144 [In Persian]
Baybordi, A., Bahri Sales, J., Jabbarzadeh Kangarloo, S., & Zavari Rezayi, A. (2022). Fuzzy delphi algorithm and fuzzy DEMITEL in Designing and explanation of relational capital in banks. Journal of Governmental Accounting, 8(2), 81-90 [In Persian].
Blatter, M., & Fuster, A. (2022). Scale effects on efficiency and profitability in the Swiss banking sector. Swiss Journal of Economics and Statistics, 158(1), 1-24.
Dabbagh, R., Raeisi, D., & Alikhanlo, S. (2020). Investigating the effectiveness and influence of factors affecting human resources productivity by multi criteria decision making methods (Case study of east Azarbaijan electric power distribution company). Electric Industry Journal of Quality and Productivity, 9(4), 83-99 [In Persian].
Dabbagh, R., Golmoradi, H., & Bagri, A. (2019). Financial performance comparison of islamic and conventional banking in selected countries using the CAMEL model. Quarterly Journal of Islamic Finance and Banking Studies, 4, 85-114 [In Persian].
Dabagh R. (2006). Employment Policies in Iran and Some Other Countries. IRPHE. 11 (3), 147-166 [In Persian].
Dang, V., & Huynh, J. (2021). Bank funding, market power and the bank liquidity creation chanel of monetary policy. Research in International Business and Finance, 59, 1-16
Delafrooz, N., Homayounfar, M., & Taghipour tamijani, M. (2019). Credit risk management in banks using a hybrid approach. Financial Engineering and Portfolio Management, 10(38), 94-116 [In Persian].
Derviz, A., & Podpiera, J. (2008). Predicting bank CAMELS and S&P ratings: the case of the Czech Republic. Emerging Markets Finance and Trade, 44(1), 117-130.
Erza, A., & Ghasempour, S. (2017). Ranking the Iranian private banks through CAMELS framework by integrating AHP and ARAS method. Financial Management Strategy, 5(3), 99-118 [In Persian].
Gyamerah, I.A., & Amoah, B. (2015). Determinants of bank profitability in Ghana. International Journal of Accounting and Financial Reporting, 5(1), 173-187.
Hasanov, F.J., Bayramli, N., & Al-Musehel, N. (2018). Bank-specific and macroeconomic determinants of bank profitability: Evidence from an oil-dependent economy. International Journal of Financial Studies, 6(3), 1-21.
Kohi Leylan, B., Dabagh, R., Kiaalhosseini, S.Z., & Rahbar, F. (2021). Investing the factors affecting the stability of the banking system in selected countries of MENA region. Journal of Development and Capital, 6(1),1-18 [In Persian].
Lee, W.S., Huang, A.Y., Chang, Y.Y., & Cheng, C.M. (2011). Analysis of decision -making factors for equity investment by DEMATEL and Analytic Network Process. Expert Systems with Applications, 38(7), 8375 -8383.
Liu, C.J., Zhao, Q., Xie, Q., & Liu, C. (2019). Novel evolutionary multi-objective soft subspace clustering algorythm for credit risk assessment. Expert Systems with Applications,138(C), 112827.
Moradpoor, M., Pooraghajan, A., & Abbasian, M. (2022). Provide a hierarchical model for measuring the performance of financial accelerators in State-owned banks of Iran. Journal of Governmental Accounting, 8(2), 113-126 [In Persian].
Moti, H., Masinde, J., Mugenda, N., & Sindani, M. (2012). Effectiveness of credit management system on loan performance: Empirical evidence from micro finance sector in Kenya. International Journal of Business, Humanities and Technohogy, 2(2), 99-108.
Naderi, J., Mousavian, S., Nadiri, M., & Zarei, F. (2019). Comparative study of credit risk in Islamic banking and conventional banking; with emphasis on the impact of bank specific factors. Journal of Iran's Economic Essays, 16(32), 61-87.
Olabisi, J., Afolabi, A., Kajola, S.O., & Ariyibi, O. (2019). Effect of currency depreciation on financial performance of Nigerian deposit money banks. Izvestiya, 2, 104-116.
Podviezko, A., & Ginevičius, R. (2010). Economic criteria characterising bank soundness and stability.
Pourmehr, M., Sepehrdoust, H., & Naziri, M.K. (2018). Impact of macroeconomic and management quality variables on the profitability of private banks; using structural panel VAR approach. Journal of Economic Modeling Research, 9(34), 201-254 [In Persian].
Roman, A., & Şargu, A.C. (2013). Analysing the financial soundness of the commercial banks in Romania: an approach based on the camels framework. Procedia Economics and Finance, 6, 703-712.
Saghafi, A., & Seif, V. (2005). Identify and measure financial ratios and fundamental economic variables affecting the health and stability of the banking system in Iran. Journal of Economics, 5(17), 65-111 [In Persian].
Shaliha, Z., Daghighi Asli, A., Mirzaeinejad, M., Afsharirad, M. (2021). The effects of monetary policy and inflationary environment on deposits in private and governmental banks of Iran (Dynamic panel data analysis). Journal of Development and Capital, 6(2), 227-244 [In Persian].
Sarker, A. (2005). CAMELS rating system in the context of Islamic banking: A proposed ‘S’for Shariah framework. Journal of Islamic Economics and Finance, 1(1), 78-84.
Sisay, E.M. (2018). The impact of currency devaluation on the equity market in the private banking sector in Ethiopia.
Tamizi, A. (2020). Effect of exchange rate fluctuation on the volume of deposit in Iran. Journal of Development and Capital, 2(9), 123-136 [In Persian].