Identification and ranking of credit risk management tools in banking with fuzzy multi criteria decision-making methods

Document Type : Science - Research (Islamic Risk Management Tools)

Authors

1 Assistant Professor, Department of Industrial Engineering, Faculty of Engineering, Meybod University, Meybod, Iran

2 MSc student Industrial Engineering, Faculty of Engineering, Meybod University, Meybod, Iran

Abstract

Banks are one of the main pillars of any country's economic system and their proper functioning will lead to the country's economic development. Due to the increasing demand for bank facilities and the risk in these activities, it is necessary to examine the risk management tools to organize, control and manage the credit risk of banks. In this study, by examining the literature and collecting information from experts through snowball sampling, credit risk management tools in banks in the form of 15 tools were extracted. Then, by compiling a questionnaire and obtaining the experts' opinions, eight final tools were selected and ranked using fuzzy Vikor, fuzzy TOPSIS, and fuzzy vaspas methods. In order to determine the final ranking of instruments based on the results obtained from fuzzy methods, two techniques of mean averaging and Copeland were used. The results showed that collateral and guarantee are the most important tools in credit risk management. Also, the design of the credit rating system and the facility ceiling determination are in the next ranks. Therefore, banks need to pay special attention to these tools to control and manage their credit risk.

Keywords

Al-Wesabi, H. A., & Ahmad, N. H. (2013). Credit Risk of Islamic Banks in GCC Countries. International Journal of Banking and Finance, 10(2), 95-112.
Arabic, S; H; & Shahjamali, M; (1398). Ranking of Credit Risk Management Tools in Interest-free Banking using AHP Technique. Quarterly Journal of Islamic Economics and Banking Quarterly, 8 (28), 7-39 (In Persian).
Awani, M; Kashian, A, M; & Erfani, A, R: (1400). Empirical Analysis of Banking Stability in Islamic Banking and Conventional Banking.
Bi-Quarterly Journal of Islamic Economics Studies, 13 (26), 247-278. DOI: 10.30497 / ies.2021.75621 (In Persian).
Bagheri, M; Farkhani, H; & Tabatabai Nejad, M: (2015). Conceptualization of Trade Union Facilities and its Necessity in the Iranian Legal System. Journal of Public Law Research, 18 (52), 87-105 (In Persian).
Chamberlain, T., Hidayat, S., & Khokhar, A. R. (2020). Credit Risk in Islamic Banking: Evidence from the GCC. Journal of Islamic Accounting and Business Research.
Demori, D; & Javidan, H; (1397). Investigating and Prioritizing Islamic Financing Instruments using Fuzzy Vikor Method. Quarterly Journal of Islamic Economics and Banking Quarterly, 23 (26), 69-96 (In Persian).
Ebrahim Pourazbari, M; Akbari, M; Abdullahi, A; & Movahedmanesh, V; (1396). Provide a framework for Evaluating Managers' Performance using Fuzzy TOPSIS and Fuzzy data Envelopment Analysis. Quarterly Journal of Operations Research in its Applications (Applied Mathematics), 14 (56), 89-107 (In Persian).
Ekhtiari, M: (1391). Introducing a Victor Method for Credit Rating of Bank Customers. Quarterly Journal of Industrial Management Studies, 9 (25), 161-179 (In Persian).
Eini, A; (1397). Optimal Credit Risk Management. Quarterly Journal Islamic Economics and Banking, 7 (25), 67-96 (In Persian).
Hajiha, Z; & Rajaei, Z; (2012), Non-payment Risk and its Relationship with the Interest Rate of Facilities Granted in Different Economic Sectors Based on Panel Analysis. Quarterly Journal of Financial Engineering and Securities Management, 3 (10), 1-22 (In Persian).
Hachem, B., & Sujud, H. (2018). Islamic Versus Conventional Banks in Lebanon: an Empirical Study of Credit Risk Management. International Journal of Economics and Finance, 10(8), 1-53.
Hassan, M. K., Khan, A., & Paltrinieri, A. (2019). Liquidity Risk, Credit Risk and Stability in Islamic and Conventional Banks. Research in International Business and Finance, 48, 17-31.
Ismailzadeh, H; & Afzali Group, Z (1394). Optimal Strategy for Achieving Spatial Justice in the Distribution of Population and Urban Services using a Hybrid Model (Case study: Bonab city). Quarterly Journal of Urban Planning Studies, 3 (11), 25-52 (In Persian).
Jalilund, A; Rostami Norouzabad, M; Askari Firoozjaei, E; & Rahmaniani, M: (1398). Implementation of Organizational Risk Management; Identification, Analysis and Evaluation of the Study: Financial Institution Active in the Iranian Capital Market. Quarterly Journal of Asset Management and Financing, 7 (26), 1-24 (In Persian).
Khansari, R; & Wahab, Q; (2015), Prioritization of Effective Factors on the Realization of General Policies of Resistance Economy in the Banking System Using Fuzzy TOPSIS Method. Bi-Quarterly Journal of Islamic Financial Research, 5 (9), 89-118. DOI: 10.30497 / ifr.2015.1793 (In Persian).
Mahmoodi, Z; & Khairandish, M; (1396). Identifying and Ranking the Factors Affecting the Credit Risk of Legal Clients from the Perspective of Managers and Experts of Bank Mellat in Bandar Abbas using the AHP model. Quarterly Journal Strategic Studies in Humanities and Islamic Sciences, 2 (7), 59-89 (In Persian).
Misman, F. N., Bhatti, I., Lou, W., Samsudin, S., & Abd Rahman, N. H. (2015). Islamic Banks Credit Risk: a Panel Study. Procedia Economics and Finance, 31, 75-82.
Mirfakhreddin, S, H; Noor, F; Rabiee, A; & Bordbar, M, A; (1394). Evaluation and Prioritization of Suppliers Using the Combined Method of Fuzzy TOPSIS and ideal multiple-choice planning (Case study: Oil Company). Quarterly Journal of Operations Research in its Applications (Applied Mathematics), 12 (48), 61-81 (In Persian).
Moazameh, S; Khamouei, F; Moazani, B; & Sehat, S; (1397). Using the Integrated Data Envelopment Analysis Model - Multi-Indicator Decision Making in Evaluating the Relative Efficiency and Ranking of Insurance Companies in Iran. Quarterly Journal of Insurance Research, 33 (130), 22-1 (In Persian).
Musharraf Javadi, M, H; & Ghochifard, H. (1388). Risk in Islamic Banks and Financial Institutions (with an Approach to Legal Risk). Quarterly Journal of Business Studies, 7 (38), 94-107 (In Persian).
Nadri, K; Wahab, Q: & Meysamy, H (1392). The Role of Islamic Banking System in Reducing the Grounds for Creating Financial Crises. Bi-Quarterly Journal of Iranian Economic Research, 10 (19), 9-40 (In Persian).
Najisfahani, S, A; & Rastegar, M, A; (1397). Estimating Credit Risk of Customers Using Multidimensional Preference Analysis (Case Study: A Commercial Bank in Iran). Economic Modeling Quarterly, 12 (48), 143-161 (In Persian).
Nazarpour, M, N; & Rezaei, A; (2013). Credit Risk Management in Islamic Banking with Roy (In Persian).
Rezaei, A; Jahanshad, A; & Taqiyantaj Malikshah, G, H; (1398). Identify and Rank the Challenges of Implementing the Expected Credit Loss Model in Iranian Banks using fuzzy Hierarchical Analysis Technique and Provide a Solution using the VASPAS Method. Quarterly Journal of Accounting and Auditing Reviews, 26 (105), 239-254 (In Persian).
Shabani, A; & Adel Rastakhiz, A: (1391). Comparative Risk Analysis in Conventional Banking and Interest-free Banking in the form of Islamic Contracts. Bi-Quarterly Journal of Islamic Financial Research, 2 (3), 5-36. DOI: 10.30497 / ifr.2012.1530 (In Persian).
Shabani Vernami, M; Didekhani, H; Khozin, A; & Naderian, A: (1400). Designing a Credit Rating Evaluation Model for Islamic Securities with an Adaptive Neural-Fuzzy Network Approach. Quarterly Journal of Financial Engineering and Securities Management, 12 (46), 198-234 (In Persian).
Safari, S; Ebrahimi Shaghaghi, M; & Sheikh, M, J: (1389). Credit Risk Management of Legal Clients in Commercial Banks with Data Envelopment Analysis Approach (Credit Rating). Journal of Management Research in Iran, 14 (56), 137-164 (In Persian).
Tarokh, M, J: & Arianjad, M, G; Ekhtiari, M; & Yazdani, M: (1393). Credit Risk Management under Uncertainty Using a Fuzzy Victor Method. Quarterly Journal of Industrial Engineering and Production Management, 25 (97), 15-30 (In Persian).
Wang, Y. M., Elhag, T. M., & Hua, Z. (2006). A Modified Fuzzy Logarithmic Least Squares Method for Fuzzy Analytic Hierarchy Process. Fuzzy Sets and Systems, 157(23), 3055-3071.
Vartaheri, M; Fatahi, A; Nemati, R; & Adinehvand, I; (1394). Explaining the Advantages of using the Combined WASPAS Decision-Making Model in Locating Tourism Target Villages (Case Study of Tourism Target Villages in Lorestan Province). Quarterly Journal of Spatial Planning and Planning, 20 (92), 115-140 (In Persian).
Yudatama, U., & Sarno, R. (2015). Evaluation Maturity Index and Risk Management for it Governance Using Fuzzy AHP and Fuzzy TOPSIS (Case Study Bank XYZ). In 2015 International Seminar on Intelligent Technology and Its Applications (ISITIA) (pp. 323-328). IEEE.
Zakernia, E; Khajehzadeh Dezfuli, M; Fadaeivahed, M; (1395). Prioritization of factors Affecting the Choice of Financing Method in Iran using TOPSIS Method in a Fuzzy Environment Based on Verbal Variables. 7 (27), 53-70 (In Persian).
  • Receive Date: 24 June 2021
  • Revise Date: 17 July 2021
  • Accept Date: 04 September 2021