Presentation of a model for measuring the financial health in banking of

Document Type : پژوهشی

Authors

• masoumeh mohammadi ¹
• Esfandiyar malekiian ²

¹ PHD student of accounting university of Mazandaran, Iran

² university of Mazandaran Iran

https://doi.org/10.22067/pm.v26i17.74511

Abstract

Abstract:
Banking system is one of the most important economical sectors in a country that has the most connection with Macroeconomic sector and therefore any fluctuation and instability in it could affect the Macro economy of the country. Thus, studying the country’s banking industry performance and analyzing the Banking security is crucial. With respect to the performance of banking system at macro economy sectors of the country, any instability and crisis in it could cause fluctuation and disturbance in macro-economic variables, especially production sector. Therefore, emphasis on its financial mediating role, study and assurance of the banking system’s stability and security is of importance.
In this research, first the most important financial relevance to CAMELS index, which according to the study of internal and external researches in the context of researches about financial security of banks and the usage from the experts point of view, have been collected and following that the effective factors on corporate governance index (as an effective factor on CAMELS index and banking security) were identified using the view of experts, which this has never been considered in any of the past researches. Finally, using fuzzy hierarchical analysis, total effective factors on CAMELS and corporate governance indices were ranked simultaneously.
The results showed that five superior factors in banking security include choosing senior management by recruitment processes and considering the qualification required for senior management post, the existence of audit committee at bank, capital adequacy ratio, determining the strategy and policy of financial security of bank and organizational structure by board of directors, and non-current assets/assets ratio.

Keywords

• CAMELS index
• Corporate governance index
• Financial health
• Banking of Iran

References

[1] 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.

[2] Bauer, P. W., Berger, A. N., Ferrier, G. D., & Humphrey, D. B. (1998). Consistency conditions for regulatory analysis of financial institutions: A comparison of frontier efficiency methods. Journal of Economic and Business, 50(2), 85–114.

[3] Beaver, W. (1966). Financial Ratios As Predictors of Failure. Journal of Accounting Research, 4, 71-111.

[4] Betz, F., Oprică, S., Peltonen, T. A., & Sarlin, P. (2014). Predicting distress in European banks. Journal of Banking & Finance, 45,225-241.

[5] Cole, R. A., Cunther, J. (1995). A CAMEL Rating's Shelf Life. SSRN.

[6] Corporate Governance Principles. (2015). Basel Committee on Banking Supervision Publication, Bureau of Banking Studies and Regulations, Central Bank of Iran.(In Persian)

[7] Dang, U. (2011). The camel rating system in banking supervision a case study, Arcada Univercity of Applied Sciences in Finland.

[8] Dincer, H., Gencer, G., Orhan, N., & Sahinbas, K. (2011). A Performance Evaluation of the Turkish Banking Sector after the Global Crisis via CAMELS Ratios. Procedia - Social and Behavioral Sciences, 24,1530-1545.

[9] Kenneth U. O., Adeniyi A.M. (2014). prediction of Bank Failure Using Camel and Market Information: Comparative Appraisal of Some Selected Banks in Nigeria. Research Journal of Finance and Accounting, 5(9). 1-17.

[10] Kumar,M. A., Harsha,G. S., Anand, S., Dhruva, N. R. (2012). Analyzing Soundness in Indian Banking: A CAMEL Approach. Research Journal of Management Sciences, 1(3), 9-14.

[11] Kutlu, A. (2012). Fuzzy failure modes and effects analysis by fuzzy TOPSIS-based fuzzy AHP. Expert. Syst. Appl, 39(1), 61–67.

[12] Mahdavi, G., Talatapeh, V. A. (2015). Investigating the Relationship between Corporate Governance and the Level of Voluntary Disclosure of the Companies Listed in Tehran Stock Exchange. Journal of Accounting Advances, 7(1), 201-228.(In Persian)

[12] Onaolapo, A. A. (2008). Implications of Capital Regulation on Bank Financial Health and Nigerian Economic Growth 1990-2006. Journal of Economics Theory, 2(3), 112-117.

[13] Roman, A., Sargu, 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.

[14] Rudolf, D. (2009). Managing Liquidity in Banks: A Top Down approach. United Kingdom, John Wiely, Lth, 304 p.

[15] Secme, N. Y., Bayrakdaroglu, A., & Kahraman, C. (2009). Fuzzy performance evaluation in Turkish Banking Sector using Analytic Hierarchy Process and TOPSIS. Expert Systems with Applications, 36(9), 11699-11709.

[16] Sarker, A. A. (2006). CAMELS Rating System in the Contex of Islamic Banking: A Proposed “S” Shariah Framework. Journal of Islamic Economic, Banking and Finance, 2(2), 212-229.

[17] Thalassinos, J. E., Konstantinos, L. (2011). Measuring a Bank’s Financial Health: A Case Study for the Greek Banking Sector. European Research Studies, 38(3) ,11699-11709.

[18] Venkatesh, D,. Suresh, C. (2014). Comparative Performance Evaluation of Selected Commercial Banks in Kingdom of Bahrain Using CAMELS Method. SSRN.

[19] Wang, W. K., Lu, W. M., & Lin, Y. L. (2012). Does corporate govemance play an important role in BHC performance? Evidence from the US. Economic Modelling, 29(3), 751-760.

[20] Zadeh, L. A. (1965). Fuzzy sets. Information and control, 8, 338-353.