Dynamic Analysis of the Behavioural Patterns of the Largest Commercial Banks in the Russian Federation
AbstractThis paper presents a pattern behavio ral analysis of 100 largest Russian commercial banks by total assets during an eight- year period: from the first quarter of 1999 to the second quarter of 2007. Bank performance indicators are analyzed. Structural similarities in the development of the banks are examined. A cluster analysis is applied to determine banks with a similar structure of operations. This analysis allows to estimate how the structure of the Russian banking system has been changing over time. In particular, it allows to identify prevailing patterns in the behavior of Russian commercial banks and to analyze the stability of their position in a particular pattern.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by ICER - International Centre for Economic Research in its series ICER Working Papers - Applied Mathematics Series with number 12-2008.
Length: 18 pages
Date of creation: Jun 2008
Date of revision:
Bank; dynamic pattern analysis; cluster analysis;
Find related papers by JEL classification:
- C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- O16 - Economic Development, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-06-03 (All new papers)
- NEP-BAN-2009-06-03 (Banking)
- NEP-TRA-2009-06-03 (Transition Economics)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- James B. Thomson, 1991. "Predicting bank failures in the 1980s," Economic Review, Federal Reserve Bank of Cleveland, issue Q I, pages 9-20.
- Cole, Rebel A. & Gunther, Jeffery W., 1995. "A CAMEL rating's shelf life," MPRA Paper 24693, University Library of Munich, Germany, revised 01 Nov 2008.
- Alexis Derviz & JiÅÃ Podpiera, 2008.
"Predicting Bank CAMELS and S&P Ratings: The Case of the Czech Republic,"
Emerging Markets Finance and Trade,
M.E. Sharpe, Inc., vol. 44(1), pages 117-130, January.
- Alexis Derviz & Jiri Podpiera, 2004. "Predicting Bank CAMELS and S&P Ratings: The Case of the Czech Republic," Working Papers 2004/01, Czech National Bank, Research Department.
- Otchere, Isaac & Chan, Janus, 2003. "Intra-industry effects of bank privatization: A clinical analysis of the privatization of the Commonwealth Bank of Australia," Journal of Banking & Finance, Elsevier, vol. 27(5), pages 949-975, May.
- Fuad Aleskerov & C. Emre Alper, 2000. "A Clustering Approach to Some Monetary Facts: A Long-Run Analysis of Cross-Country Data," The Japanese Economic Review, Japanese Economic Association, vol. 51(4), pages 555-567, December.
- Aysan, Ahmet Faruk & Ertek, Gurdal & Ozturk, Secil, 2009. "Assessing the adverse effects of interbank funds on bank efficiency through using semiparametric and nonparametric methods," MPRA Paper 38113, University Library of Munich, Germany.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alessandra Calosso).
If references are entirely missing, you can add them using this form.