ارزیابی اثر شاخص های کملز (CAMELS) بر بازده سرمایه تعدیل شده به ریسک (RAROC) در بانک های پذیرفته شده در بازار سرمایه ایران

نوع مقاله : علمی - پژوهشی

نویسندگان

1 کارشناسی ارشد مدیریت مالی، دانشگاه علامه طباطبائی، تهران، ایران

2 دانشیار، گروه مالی و بانکداری، دانشگاه علامه طباطبائی، تهران، ایران.

3 استادیار، گروه مالی و بانکداری، دانشگاه علامه طباطبائی، تهران، ایران.

چکیده

در این پژوهش بازده سرمایه تعدیل‌شده به ریسک (RAROC) به‌عنوان یک شاخص سنجش عملکرد اقتصادی و تعدیل‌شده به ریسک تبیین و برای اولین‌بار براساس روش جدید مبتنی بر مطالعات اخیر برای همه بانک‌های پذیرفته‌شده در بورس اوراق بهادار تهران و فرابورس ایران در بازه زمانی سالهای 1391 الی 1398 محاسبه گردید. روش محاسبه این شاخص در این پژوهش یکی از وجوه تمایز آن به شمار می‌رود. در گام بعد ضمن معرفی شاخص‌های کملز (CAMELS) و تبیین اهمیت آن‌ها، اثرشان بر بازده سرمایه تعدیل‌شده به ریسک بر اساس مدل رگرسیون خطی چند متغیره و رویکرد پانل دیتا، مورد سنجش قرار گرفت. بر اساس یافته‌های پژوهش، بسیاری از بانک‌ها علی‌رغم افشای سودخالص درصورت-های مالی خود، از حیث این شاخص در وضعیت مناسبی قرار ندارند. همچنین براساس مدل اجراشده، اثر کفایت سرمایه، کیفیت مدیریت، کیفیت سود و کیفیت نقدینگی بر بازده سرمایه تعدیل‌شده به ریسک در بانک‌ها معنی‌دار تلقی شد، بدین معنا که با بهبود این شاخص‌ها می‌توان RAROC را نیز بهبود بخشید. از طرف دیگر رابطه‌ای بین کیفیت دارایی‌ها و حساسیت نسبت به ریسک بازار با این شاخص یافت نشد.

کلیدواژه‌ها


عنوان مقاله [English]

Assessment of the Effect of CAMELS Indicators on Risk-Adjusted Return on Capital (RAROC) in the Banks listed in Iran’s Stock Market

نویسندگان [English]

  • Mohammad Sadegh Abdollahi Poor 1
  • Mohammad Hashem Botshekan 2
  • Mostafa Sargolzaei 3
1 MA in Financial Management, Allameh Tabataba’i University, Tehran, Iran
2 Associate Prof, Department of Finance and Banking, Allameh Tabataba’i University, Tehran, Iran.
3 Assistant Prof, Department of Finance and Banking, Allameh Tabataba’i University, Tehran, Iran.
چکیده [English]

In this Research, The Risk-Adjusted Return on Capital (RAROC), as economic performance measurement and risk-adjusted index, was introduced and has been calculated for all the registered banks in the Tehran Stock Exchange and Over-the-Counter Market of Iran, based on contemporary methods which were extracted from earlier researches. The way in which this variable was calculated is one of the distinctions of this research. The period of this research is 8 years, from 2012 to 2019. At the next stage, the CAMELS indicators were introduced and their importance were declared. Then, the impact of these indicators on RAROC were assessed by a multiple linear regression model and Panel Data approach. The results illustrated this fact that there are numerous banks which even disclose net income in their financial statements, while based on RAROC index are not financially as safe as they seem.  Also, it has been concluded that Capital Adequacy ratio, Management Quality, Earnings Quality, and Liquidity Quality affect the RAROC. Meaning that, by improving those indicators, RAROC index will be enhanced. On the other hand, Asset Quality and Sensitivity to Market Risk have no significant effect on the RAROC.

کلیدواژه‌ها [English]

  • Risk-Adjusted Return on Capital (RAROC)
  • CAMELS
  • Expected Loss
  • Loss Given Default
  • Banks
1.Abdollahi Poor, M.S., Botshekan, M.H. (2020). Solutions for Financial Restructuring in Iranian Banks. Journal of Asset Management and Financing, 8(4), 1-20. Doi: 10.22108/amf.2020.119436.1473 (In Persian)
2.Al-abedallat, A. Z. (2019). The Factors Affecting the Performance of the Jordanian Banks using Camels Model. European Journal of Scientific Research, (152)2, 116-127.
3.Aspal, P. K., Dhawan, S. (2014). Financial Performance Assessment of Banking Sector in India: A Case Study of Old Private Sector Banks. The Business & Management Review, (5)3, 196-211.
4.Bank for International Settlements, 79th Annual Report. (2009). BASEL,
5.Bear, T., Mehta, A., Samandari, H. (2011). The Use of Economic Capital in Performance Management for Banks: A Perspective. Working Paper on risk, McKinsey & Company.           
6.Chlopec, P. T. (2013). RAROC as a Credit Risk Approach. The journal of Financial Science, (16)3, 64-76.
7.Cucinelli, D. (2015). The Impact of Non-Performing Loans on Bank Lending Behavior: Evidence from Italian Banking Sector, Eurasian Journal of Business and Economics, (8)16, 59-71.
8.Falkenstein, E. (1997).  Accounting for Economic and Regulatory Capital in RAROC Analysis. Bank Accounting and Finance, (11)11, 1-11.
9.Fattahi, SH., Rezaei, M., Jahed, T. (2017). The Effect of Banking Soundness on the Profitability of Commercial Banks: Threshold Panel Regression Approach, Journal of Financial Management Strategy, 5(16), 29-50. (In Persian)
10 Frontczak, R. & Rostek, S. (2015). Modeling loss given default with stochastic collateral. Economic Modelling, (44), 162–170.
11.Han, C., Jang, Y. (2013). Effects of Debt Collection Practices on Loss Given Default. Journal of Banking and Finance, (37)1, 21-31.
12.Hosseini, SMH. Dehghan Dehnavi, MA. Ghorbanizadeh, V. Amiri, M. Rajayi baghsiyahi, M. Specification the model of effective variables on Iranian banking facilities with Delphi Method. Journal of financial management perspective, 21(1):115-131 (In Persian)
13.Instruction of Calculating the Supervisory Equity and Capital Adequacy Ratio of Credit Institutions. (2018). Central Bank of Iran. (In Persian)
14.Issavi, M. Tari, F. Ansari Samani, H. Amozad khalili, H. (2018). Investigate the Functional Appropriateness of Capital Ratios in Iranian Banks. Journal of financial management perspective, 21(8):95-113 (In Persian)
15.Kang, W. Y., Poshakwale, S. (2019). A New Approach to Optimal Capital Allocation for RAROC Maximization in Banks. ­Journal of Banking and Finance, (106), 153-165.
16.Khoshtinat, M., Alavi, S. N. (2017). Identification of Loss-Given-Default (LGD) Effective Factors by Using Tobit Regression Model (Case Study: Bank of Industry and Mine Corporate Clients). Journal of Islamic Finance and Banking Studies, 3 (5): 1-29 (In Persian)
17.Klaassen, P., Eeghen, I. V. (2015). Analyzing Bank Performance – Linking ROE, ROA and RAROC: U.S. Commercial Banks 1992-2014. The Journal of Financial Perspectives, (3)2, 1-22.
18.Loebnitz, K. (2012). Liquidity Risk meets Economic Capital and RAROC. (Unpublished doctoral dissertation). University of Twente, Netherlands.
19.Loterman, G., Brown, I., Martens, D., Mues, C. & Baesens, B. (2012). Benchmarking regression algorithms for loss given default modeling. International Journal of Forecasting, (28)1, 161–170.
20.Motamedi, P. (2012). Investigating the impact of CAMELS Measures on RAROC in Iran’s Banking Industry. M.A Thesis, (Unpublished doctoral dissertation). Accounting Department, Islamic Azad University Tehran North Branch, Iran. (In Persian)
21.Naimy, V. (2012). The RAROC as an Alternative Model of Analyzing the Lebanese Banks’ Performance and Capital Allocation. Journal of Business & Financial Affairs. 1(1), 1-5. DOI: 10.4172/2167-0234.1000101
22.Oztorul, G. (2011). Performance evaluation of banks and banking groups: Turkey case, M.S., Middle East technical university in Ankara, vol.4, no.5,1-18.
23.Padganeh, Y. (2014). Risk-Adjusted Return on Capital (RAROC) (GARP Working Paper No.1499114). Retrieved from
24.Ramezani, S.M., Khorashadizadeh, M., Mohammadi Yoshoo, E., (2017). Representing a model of evaluation and prediction of solvency of selected Iranian banks by CAMELS indicators. Journal of Economic Research and Policies, 25(2), 43-78. (In Persian)
25.Roman, A. Sargu, A. C. (2013). Analyzing the Financial Soundness of the Commercial Banks in Romania: An Approach Based on the CAMELS Framework. Procedia Economics and Finance, (6), 703-712.
26.Rostami, M. (2015). CAMELS Analysis in Banking Industry. Global Journal of Engineering Science and Research Management, (11)2, 10-26.
27.Saha, A., Ahmad, N. H., Yeok, S. G. (2016). Evaluation of Performance of Malaysian Banks in Risk Adjusted Return Capital (RAROC) and Economic Value Added (EVA) Framework. Journal of Accounting and Finance, (12)1, 25-47.
28.Sahmani, M.A., Bidari, M.A., Asadi, A., Mohebbi, S. (2019). Risk Management in Financial Institutions: The application of RAROC Model. In Proceedings of the 30th Conference of Islamic Banking, 31 August 2019 (pp. 141-164). Tehran, Iran. (In Persian)
29.Schuermann, T. (2004). What do we know about loss given default? Wharton Financial Institutions Center, Working Paper, No. 04-01.
30.Sharma, V.K. (2017). Performance evaluation of state bank of India and its associate banks through camel analysis, International Journal of Research in Commerce & Management, 8(3):84-91.
31.Sepehrdoust, H. Berjisian, A. (2014). Estimation of Bank Credit Refunding Failure Using Logit Regression.The Journal of Planning and Budgeting. 19 (1):52-31. (In Persian)
32.Soudani, A. (2017). Ranking of Iranian Banks Based on the CAMELS International Indicators. Journal of Monetary and Banking Research. 10(31): 141-171. (In Persian)
33.Tehrani, R. Bigdelo, J. (2020). Investigating the Role of Financial Intermediation in Member Banks of Tehran Stock Exchange and Its Effective Factors. Journal of financial management perspective, 29(1):39-64. (In Persian)
34.Tomuleasa, I. I. (2019). Performance and Soundness of European Banking Systems, HAL. Retrieved from https://tel.archives-ouvertes.fr/tel-02067868/document