The purpose of this study was to examine a crucial issue in the Iranian banking industry: the assessment of asset quality. Previous studies have shown that a comprehensive model of asset quality review is still lacking. Only a few papers have systematically examined the factors affecting banks’ asset quality. In addition, the key strategic drivers of Asset Quality Review (AQR) in Iranian banks were identify. A theoretical literature review, interviews with banking experts, fuzzy Delphi screening with 37 experts, and MICMAC software analysis of variable interrelationships were used. Findings revealed that the determinants of AQR fall into five categories: financial, credit, supervisory, macroeconomic, and institutional. In total, 53 sub-indicators were validated. Results showed that capital adequacy ratio, cost-to-income ratio, loan growth, non-performing loans, Collateral Valuation (CV), compliance, inflation and interest rates, as well as legal requirements and auditing, are the most significant strategic drivers in this domain.
Abdul Gafoor, C., Mariappan, V. and Thiyagarajan, S. (2018). Does the board structure affect the asset quality of the banks? Evidence from India. IIM Kozhikode Society & Management Review, 7(2), pp. 122-131. https://doi.org/10.1177/2277975218767564
Aminian, H. (2014). On assessing the financial health of our country's commercial and non-commercial banking network in the framework of the CAMELS rating system. M.A. Thesis in Accounting. Islamic Azad University, Shahroud Branch, Faculty of Islamic Sciences, Shahrood, Iran (In Persian).
Aziznejad, S., Gheyasi, M. and Rouhani, S.A. (2019). Survey of the Iranian banking system. Islamic Parliament Research Center of The Islamic Republic of Iran. Tehran, Iran (In Persian).
Babajani, J., Ghorbani-Zadeh, V. and Iman-Zadeh, P. (2019). A model for establishing a performance auditing system in public sector institutions in Iran. Accounting Knowledge Journal, 19(76), pp. 39-58 (In Persian).
Botshakan, M.H (2018). Restructuring the banking system. 15th International Management Conference, Tarbiat Modares University, Tehran, Iran (In Persian).
Buch, C. M., Bussiere, M. and Goldberg, L. (2017). International prudential policy spillovers: Evidence from the international banking research network. International Journal of Central Banking, 13(2), pp. 1-4.
Council of Ministers' Resolutions (2007). Regulations for the collection of past-due, overdue and doubtful receivables from credit institutions (Rial and foreign currency), (Date of approval: 10/30/2007) (In Persian).
Dechow, P., Ge, W. and Schrand, C. (2010). Understanding earnings quality: A review of the proxies, their determinants and their consequences. Journal of Accounting and Economics, 50(2-3), pp. 344-401. https://doi.org/10.1016/j.jacceco.2010.09.001
Farzinvash, A. and Heidari H. (2011). Examining indirect effects of monetary policy on bank lending, through the balance-sheet items of the public and private banks in Iran. Economic Modeling Research, 1(2), pp. 145-171 (In Persian).
Francis, J., LaFond, R., Olsson, P. M. and Schipper, K. (2004). Costs of equity and earnings attributes. The Accounting Review, 79(4), pp. 967-1010. https://doi.org/10.2308/accr.2004.79.4.967
Ghaemi-Asl, M. and Ghasemi-Nik, E. (2019). Evaluating asset quality in Iran's banking system with an emphasis on liquidity buffers and non-performing loan provisions. Economic Modeling Research, 9(35), pp. 111-145 (In Persian). http://dx.doi.org/10.29252/jemr.9.35.111
Ghasempour, Sh., Salimi, M. J., Ebrahimi-Saralia, M. H. and Ebrahimi, M. (2016). Analyzing evaluation criteria of banking system health and stability using DEMATEL technique. Journal of Quantitative Studies in Management, 7(4), pp. 93-112 (In Persian).
Hassas-Yeganeh, Y., Habibi, R. and Nazi, B. (2017). The effect of asset quality on banks' financial distress. Quarterly Journal of Islamic Finance and Banking Studies, 3(6), pp. 25-58 (In Persian).
International Monetary Fund (2018). The Road Map Of Bank Restructuring And Resolution Plan. IMF Publication, Washington, U.S.A.
Kim, D. H., Chen, T. C. and Lin, S. C. (2023). Fertility and banking development: New panel evidence. International Journal of Finance & Economics, 28(4), pp. 4220-4235. https://doi.org/10.1002/ijfe.2643
Kordmanjiri, S., Dadashi, I., Khoshnoud, Z. and Gholamnia Roshan, H. R. (2020). Identifying the factors affecting banks’ non-performing loans using neural networks and support vector machine algorithm. Economic Modeling Quarterly, 14(49), pp. 127-151 (In Persian).
Kozińska, M. (2018). Resolution tools in the opinion of EU resolution authorities. Finance Czasopismo Komitetu Nauk o Finansach PAN, 1(11), pp. 68-88.
Laeven, L. and Valencia, F. (2013). Systemic banking crises database. IMF Economic Review, 61(2), pp. 225-270. https://doi.org/10.1057/imfer.2013.12
Levels, A. and Capel, J. (2012). Is collateral becoming scarce? Evidence for the euro area. Journal of Financial Market Infrastructures. Journal of Financial Market Infrastructures, 1(1), pp. 29-53. https://doi.org/10.21314/JFMI.2012.005
Mirzaei, Esmaeil, Mohammadi, Teymour, Shakeri, Abbas (2016). The interaction between non-performing loans and macroeconomic conditions: a panel vector autoregressive approach. Economics Research, 16(60), pp. 183-220 (In Persian).
Moore, J. (2019). Bank performance prediction during the ‘great recession of 2008-‘09: a pattern-recognition approach. Academy of Banking Studies Journal, 10(2), pp. 87-103.
Muneer, S., Ishtiaq, M., Tufail, M. S. and Sarwar, S. (2017). Determinants of bank asset quality and profitability. Journal of Managerial Sciences, 11(3), pp. 201-222.
Oberholzer, M. (2013). A non-parametric comparison among firms' income statement-based and balance sheet-based performance. The International Business & Economics Research Journal (Online), 12(11), p. 1467.
Peykani, P., Sargolzaei, M., Oprean-Stan, C., Kamyabfar, H. and Reghabi, A. (2025). The effect of macroeconomic shocks on non-performing loans and credit risk in the Iranian banking system using time-varying parameter vector autoregressions. PLoS One, 20(8), A. e0329587. https://doi.org/10.1371/journal.pone.0329587
Pourkazemi, M. H., Sedaghatparast, E. and Dehpnah, R. (2017). Estimating the probability of default of real bank customers using neural networks (Case study: Pasargad Bank). Quarterly Journal of Islamic Finance and Banking Studies, 3(6), pp. 1-23 (In Persian).
Safarzadeh, M., Jafarimanesh, I. (2019). The Role of Iranian Banks’ Loan Loss Provision Quality in Dealing with Banking System Crisis. Accounting and Auditing Review, 26(3), pp. 435-455 (In Persian).
Seraj, Soodabeh and Taheri, Mandana. (2012). Banking supervision, based on an early warning system, using Camel Ratios and a Logit Model. Journal of Monetary & Banking Research, 4(12), pp. 45-70 (In Persian).
Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A. and Delen, D. (2012). Development of a fuzzy ANP based SWOT analysis for the airline industry in Turkey. Expert systems with Applications, 39(1), pp. 14-24. https://doi.org/10.1016/j.eswa.2011.06.047
Seyed Shokri, K. and Grossi, S. (2015). Investigating the effective factors on increasing non-current receivables in the banking system. Financial Economics, 9(31), pp. 95-118 (In Persian).
Shahcheraghi, M. and Abolfathi, F. (2016). Examining the Factors Influencing Asset Quality in the Iranian Banking Network. Economic Development Policy, 4(3), pp. 181-151 (In Persian).
Swamy, V. (2017). Determinants of Bank Asset Quality and Profitability: An Empirical Assessment. Applied Economics Quarterly, 63(1), pp. 97-135.
Wu, C. H. and Fang, W. C. (2011). Combining the Fuzzy Analytic Hierarchy Process and the fuzzy Delphi method for developing critical competences of electronic commerce professional managers. Quality & Quantity, 45(4), pp. 751-768. https://doi.org/10.1007/s11135-010-9425-6
Zantheir, U. V. and Kajiesfahani., Mr. (2018). Iran Banking Reform Program, KPMG, New York.
Mehrabanpour,M , Dana,M M and Botshekan,D H . (2026). Identifying the drivers of asset quality review in Iranian banks. Iranian Journal of Accounting, Auditing and Finance, 10(1), 187-207. doi: 10.22067/ijaaf.2026.47478.1589
MLA
Mehrabanpour,M , , Dana,M M , and Botshekan,D H . "Identifying the drivers of asset quality review in Iranian banks", Iranian Journal of Accounting, Auditing and Finance, 10, 1, 2026, 187-207. doi: 10.22067/ijaaf.2026.47478.1589
HARVARD
Mehrabanpour M, Dana M M, Botshekan D H. (2026). 'Identifying the drivers of asset quality review in Iranian banks', Iranian Journal of Accounting, Auditing and Finance, 10(1), pp. 187-207. doi: 10.22067/ijaaf.2026.47478.1589
CHICAGO
M Mehrabanpour, M M Dana and D H Botshekan, "Identifying the drivers of asset quality review in Iranian banks," Iranian Journal of Accounting, Auditing and Finance, 10 1 (2026): 187-207, doi: 10.22067/ijaaf.2026.47478.1589
VANCOUVER
Mehrabanpour M, Dana M M, Botshekan D H. Identifying the drivers of asset quality review in Iranian banks. IJAAF. 2026;10(1):187-207. doi: 10.22067/ijaaf.2026.47478.1589