Using accounting ratios to distinguish between Islamic and conventional banks in the GCC region
AbstractThis study determines whether it is possible to distinguish between conventional and Islamic banks in the Gulf Cooperation Council (GCC) region on the basis of financial characteristics alone. Islamic banks operate under different principles, such as risk sharing and the prohibition of interest, yet both types of banks face similar competitive conditions. The combination of effects makes it unclear whether financial ratios will differ significantly between the two categories of banks. We input 26 financial ratios into logit, neural network, and k-means nearest neighbor classification models to determine whether researchers or regulators could use these ratios to distinguish between the two types of banks. Although the means of several ratios are similar between the two categories of banks, non-linear classification techniques (k-means nearest neighbors and neural networks) are able to correctly distinguish Islamic from conventional banks in out-of-sample tests at about a 92% success rate.
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Bibliographic InfoArticle provided by Elsevier in its journal The International Journal of Accounting.
Volume (Year): 43 (2008)
Issue (Month): 1 (March)
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Web page: http://www.elsevier.com/locate/inca/620179
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- Pamela K. Coats & L. Franklin Fant, 1993. "Recognizing Financial Distress Patterns Using a Neural Network Tool," Financial Management, Financial Management Association, vol. 22(3), Fall.
- Olson, Dennis & Mossman, C, 2001. "Cross-Correlations and Predictability of Stock Returns," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 20(2), pages 145-60, March.
- Pesaran, M.H. & Timmermann, A., 1990.
"A Simple Non-Parametric Test Of Predictive Performance,"
29, California Los Angeles - Applied Econometrics.
- Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-65, October.
- Pesaran, M.H. & Timmermann, A., 1990. "A Simple, Non-Parametric Test Of Predictive Performance," Cambridge Working Papers in Economics 9021, Faculty of Economics, University of Cambridge.
- Knez, Peter J & Ready, Mark J, 1996. "Estimating the Profits from Trading Strategies," Review of Financial Studies, Society for Financial Studies, vol. 9(4), pages 1121-63.
- Aggarwal, Rajesh K & Yousef, Tarik, 2000. "Islamic Banks and Investment Financing," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 32(1), pages 93-120, February.
- Grais, Wafik & Pellegrini, Matteo, 2006. "Corporate governance and Shariah compliance in institutions offering Islamic financial services," Policy Research Working Paper Series 4054, The World Bank.
- Mohamed M. Mostafa, 2011. "Modeling Islamic banks' efficiency: a non-parametric frontier approach," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing, vol. 4(1), pages 7-29, April.
- Beck, Thorsten & Demirguc-Kunt, Asli & Merrouche, Ouarda, 2010.
"Islamic vs. conventional banking : business model, efficiency and stability,"
Policy Research Working Paper Series
5446, The World Bank.
- Beck, Thorsten & Demirgüç-Kunt, Asli & Merrouche, Ouarda, 2013. "Islamic vs. conventional banking: Business model, efficiency and stability," Journal of Banking & Finance, Elsevier, vol. 37(2), pages 433-447.
- Olson, Dennis & Zoubi, Taisier A., 2011. "Efficiency and bank profitability in MENA countries," Emerging Markets Review, Elsevier, vol. 12(2), pages 94-110, June.
- Samir Srairi, 2010. "Cost and profit efficiency of conventional and Islamic banks in GCC countries," Journal of Productivity Analysis, Springer, vol. 34(1), pages 45-62, August.
- Hanudin Amin & Mohamad Rizal Abdul Hamid & Suddin Lada & Ricardo Baba, 2009. "Cluster analysis for bank customers' selection of Islamic mortgages in Eastern Malaysia: An empirical investigation," International Journal of Islamic and Middle Eastern Finance and Management, Emerald Group Publishing, vol. 2(3), pages 213-234, August.
- Ayesha Hamid & Omar Masood, 2011. "Selection criteria for Islamic home financing: a case study of Pakistan," Qualitative Research in Financial Markets, Emerald Group Publishing, vol. 3(2), pages 117-130, June.
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