CAMELS-based Determinants for the Credit Rating of Turkish Deposit Banks
Open Access
- 21 October 2015
- journal article
- Published by Center for Strategic Studies in Business and Finance SSBFNET in International Journal of Finance & Banking Studies (2147-4486)
- Vol. 4 (4), 1-17
- https://doi.org/10.20525/ijfbs.v4i4.35
Abstract
This paper demonstrates the relationship between CAMELS ratios and credit ratings of deposit banks in Turkey. Annual data was used for the period between 2004 and 2014 in this study. Moreover, 20 deposit banks of Turkey were analyzed and 21 different ratios of CAMELS components were used. In addition to that, credit ratings of these banks were provided from Moody’s corporation or annual activity reports of the banks. After that, we created multi nominal logistic regression analysis in order to illustrate the relationship. The major finding in this study is that three components (Asset Quality, Management Quality, and Sensitivity to Market Risk) of CAMELS have effects on credit ratings whereas the ratios related to Capital Adequacy and Earnings are not effective. As a result, it was recommended that Turkish deposit banks should concentrate on the percentage of fixed assets and interest income to have a better rating. Moreover, having high market share with respect to total assets and lower interest expense are also other important points for this purpose. On the other hand, Turkish deposit banks should control the proportion of financial assets and increase the amount of FX liquid assets to prevent credit ratings to decrease. Additionally, market share of banks for loans should not reach at high level for this objective.Keywords
This publication has 17 references indexed in Scilit:
- Analysing the Financial Soundness of the Commercial Banks in Romania: An Approach based on the Camels FrameworkProcedia Economics and Finance, 2013
- Asymmetric benchmarking in bank credit ratingJournal of International Financial Markets, Institutions and Money, 2012
- Could Lehman Brothers’ Collapse Be Anticipated? An Examination Using CAMELS Rating SystemInternational Business Research, 2011
- A Performance Evaluation of the Turkish Banking Sector after the Global Crisis via CAMELS RatiosProcedia - Social and Behavioral Sciences, 2011
- Analysis of Banks in India—A CAMEL ApproachGlobal Business Review, 2010
- Predicting Bank CAMELS and S&P Ratings: The Case of the Czech RepublicEmerging Markets Finance and Trade, 2008
- A study of Taiwan's issuer credit rating systems using support vector machinesExpert Systems with Applications, 2006
- Are Unsolicited Credit Ratings Lower? International Evidence From Bank RatingsJournal of Business Finance & Accounting, 2005
- The Determinants of Banking Crises in Developing and Developed CountriesStaff Papers, 1998
- The Credit Rating IndustryThe Journal of Fixed Income, 1995