Abstract
The article introduces the research in the field of economics, international financial reporting and statistics. In this paper the mathematical regression model of bankruptcy for banks is constructed. Special attention is paid to accounting data. It should be written correctly and accurately applied to the models. Even small ambiguity leads to big error of results. The main advantage of bankruptcy models is the allowance of finding of a point after which the enterprise starts working at a loss, and also forecasting for future period. Data are collected, summary tables, schedules are constructed and the analysis is made. We will try to offer an alternative to these models such that the model is suitable for the Russian reality and branch feature of banks. Changes in the banking legislation of Russia gave impetus to the revocation of licenses of most credit institutions in the country. The article establishes the reasons for such measures on the part of the Bank of Russia.
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Notes
- 1.
Federal Law 20, 02.12.1990 N395-1.
References
Grachev, A.V.: Financial Stability of the Enterprise: criteria and Methods of Evaluation in the Market Economy. Business and service Publ, Moscow (2010)
Khabibullina, E.R.: Financial Stability of the Company. Vestnik Astrakhan state technical university, pp. 229–234 (2004)
Soshnikova, L.A., Tamashevich, V.N.: Multivariate Statistical Analysis in Economics. Moscow, YUNITI-DANA, 507 p (1999)
Dontsova, L.V., Nikiforova, N.A.: Analysis of Financial Statements. Business and Service, Moscow, 144 p (2004)
A teaching aid on multidimensional statistical methods for students of specialty 080116 “Mathematical methods in economics”. Tomsk, TPU (2007) 50
On the liquidation of credit institutions (as of 01/01/2015). Information portal: “cbr.ru”: http://cbr.ru/credit/likvidbase/LikvidBase.aspx, Last accessed 29 Jan 2018
Pokhabova, A.E., Kharlammov, O.V.: Mass license reviews and liquidation of banks: the banking crisis and the latest banking sector recovery programs. The Development of Economics and Management in the Modern World. Voronezh, pp. 165–168 (2015)
Baldin, S.V., Bystrov, O.F., Sokolov, M.M.: Econometrics. Moscow, UNITY-DANA, p. 52 (2015)
Dubrov, A.M., Mkhitaryan, V.S., Troshin, L.I.: Multidimensional Statistical Method. Moscow, Finance and Statistics, vol. 2557 (2003)
Return on assets. Information portal “Audit-it.ru”: http://www.audit-it.ru/finanaliz/terms/performance/return_on_assets/html, Last accessed 01 Apr 2018
Greshilov, A.A.: Statistical Decision-Making Methods with Elements of Confluent Analysis. Moscow, Radio and communication, 112 p (1998)
List of banks in Russia. Information portal “banki.ru”: https://www.banki.ru, Last accessed 15 Apr 2018
Pleschitser, M.V.: Methodological aspects of forecasting bank banks during the financial crisis. Audit Financ. Anal. 2, 161–166 (2010)
Ayvazyan, S.A., Mkhitaryan, V.S.: Probability Theory and Applied Statistics. Moscow, YUNITI-DANA, 283 p (2001)
Kim, O.J., Müller, C.W., Cage, W.R., et al.: Factor, Discriminant and Cluster Analysis. Moscow, Finance and Statistics, 113 p (1989)
Federal Law of the Russian Federation: “On the Central Bank of the Russian Federation (Bank of Russia)”: http://docs.cntd.ru/document/901822004, Last accessed 01 May 2017
All issues of the periodical edition Bulletin of the Bank of Russia. Information portal: “cbr.ru”: http://www.cbr.ru/publ/?PrtId=vestnik, Last accessed 20 Apr 2018
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The work is carried out at Tomsk Polytechnic University within the framework of Tomsk Polytechnic University Competitiveness Enhancement Program grant.
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Chumachenko, A.P., Kritski, O.L., Belsner, O.A. (2019). Application of Discriminate Function Analysis to Identification of Financially Unstable Banks of Russia. In: Kaz, M., Ilina, T., Medvedev, G. (eds) Global Economics and Management: Transition to Economy 4.0. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-26284-6_7
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