Ranking methodology for Islamic banking sectors – modification of the conventional CAMELS method
-
DOIhttp://dx.doi.org/10.21511/bbs.16(1).2021.04
-
Article InfoVolume 16 2021 , Issue #1, pp. 36-51
- Cited by
- 884 Views
-
565 Downloads
This work is licensed under a
Creative Commons Attribution 4.0 International License
The state of banking systems is an important issue. The purpose of this paper was to test whether the well-known CAMELS microeconomic methodology, generally used for ranking banks, is applicable to evaluating Islamic banking systems. The hypothesis was tested by implementing a method for a particular case, public, free data – from 2013 till the first quarter of 2018 – on Islamic banking systems from the “Islamic Financial Services Board” (IFBS) database. As expected, modifications were necessary. First, because of the lack of data (in Islamic databases, no data refer to the management (“M”)), and second, to avoid the subjectivity of the five-degree method and to reach more sensibility. Thus, a hundred-level (standardized) rating system was introduced – “CAELS 100”, where “100” refers to the levels. The other part of the methodology – creating a simple average of the (now level 100) rating of raw indicators to get the letters of CA(M)ELS in the relevant period – remained unchanged. After the data cleaning, only six countries (Bahrain, Egypt, Kuwait, Oman, Turkey, and the United Arab Emirates) were able to participate in the analysis.
The result showed that Egypt, Turkey and Kuwait were the best ones respectively. Thus, it was concluded that this “CAELS 100” methodology is suitable for evaluating Islamic banking systems.
Acknowledgment
The research was supported by the project “Intelligent specialization program at Kaposvár University”, No. EFOP-3.6.1-16-2016-00007.
- Keywords
-
JEL Classification (Paper profile tab)G15, G21
-
References15
-
Tables9
-
Figures2
-
- Figure 1. Capital adequacy indicators: CAR (dark) and Tier 1 capital to RWA (grey) for Oman from 2013A to 2018Q1
- Figure 2. CAELS 100 results for the six countries investigated for the period 2013A–2018Q4
-
- Table 1. Selected aggregated Islamic financial indicators based on the Islamic Finance Service Board (IFSB) database
- Table 2. Relationship between the CAMELS and IFSB indicators, with denotation of the proportionality
- Table 3. CAELS 100 results and ranking of the six countries studied
- Table A1. Standard CAELS data of Bahrain
- Table A2. Standard CAELS data of Egypt
- Table A3. Standard CAELS data of Kuwait
- Table A4. Standard CAELS data of Oman
- Table A5. Standard CAELS data of Turkey
- Table A6. Standard CAELS data of the United Arab Emirates
-
- Baka, I., Dancsó, J., Ligeti, S., Szarvas, F., Vágyi, F., & Varga, J. (2012). Bankismeretek. Budapest: Tanszék Pénzügyi és Szolgáltató Kft.
- Beck, T., Demirgüc-Kunt, A., & Merrouche, Q. (2012). Islamic vs. conventional banking: Business model, efficiency and stability. Journal of Banking & Finance, 37(2), 433-447.
- Dang, U. (2011). The CAMEL rating system in banking supervision, a case study (Thesis). Arcada.
- IFSB. (2019a). Selected Aggregated Structural Islamic Financial Indicators.
- IFSB. (2019b). The IFSB Compilation Guide on Prudential and Structural Islamic Financial Indicators (PSIFIs). Guidance on Compilation and Dissemination of Prudential and Structural Islamic Financial Indicators for Institutions offering Islamic Financial Services (IIFS).
- Karapinar, A., & Dogan, I. C. (2015). An Analysis on the Performance of the Participation Banks in Turkey. Accounting and Finance Research, 4(2), 24-33.
- Kouser, R., Aamir, M., Mehvish, H., & Azeem, M. (2011). CAMEL analysis for Islamic and conventional banks: Comparative study from Pakistan. Economics and Finance Review, 1(10), 55-64.
- Kumar, V., & Sayani, H. (2015). Application of CAMEL model on the GCC Islamic Banks: 2008–2014. Journal of Islamic Banking and Finance, 3(2), 1-14.
- Ledhem, M. A., & Mekidiche, M. (2020). Economic growth and financial performance of Islamic banks: a CAMELS approach. Islamic Economic Studies, 28(1), 47-62.
- Rozzani, N., & Rahman, R. A. (2013). Camels and performance evaluation of banks in Malaysia: conventional versus Islamic. Journal of Islamic Finance and Business Research, 2(1), 36-45.
- 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.
- Széles, Zs. (2015). Accounting directives in the Islamic Banking System. SELYE E-STUDIES, 6(1), 153-170.
- Tabash, M. I., & Dhankar, R. S. (2014). The Impact of Global Financial Crisis on the Stability of Islamic Banks: An Empirical Evidence. Journal of Islamic Banking and Finance, 2(1), 367-388.
- Tálos, L., Varga, J., & Bánkuti, Gy. (2016). The Analysis of the Turkish Islamic Banking System between 2005 and 2014. International Conference On Eurasian Economies 2016 (pp. 116-124).
- Varga, J., & Tálos, L. (2016). The empirical analysis of the impact of the economic crisis on Turkish Islamic banks using the CAMEL method. Regional and Business Studies, 8(1), 77-87.