bgscience@idbg.ru
+7 495 648 62 41 Russia, 127015, Moscow, Novodmitrovskaya st. 5A (b. 7)
Menu
  • BIBLIO-GLOBUS
    • About
  • Journals
    • Russian Journal of Entrepreneurship
    • Creative Economy
    • Scholarly Communication Review
    • Russian Journal of Retail Management
    • Leadership and Management
    • Public-Private Partnership
    • Global Markets and Financial Engineering
    • Russian Journal of Housing Research
    • Food Policy and Security
    • Russian Journal of Labor Economics
    • Russian Journal of Innovation Economics
    • Journal of Economics, Entrepreneurship and Law
    • Russian Journal of Humanistic Psychology
  • BIBLIO-GLOBUS fiction

Switch to Russian:to Russian

Bank Bankruptcy Approaches, Models and Diagnostic Methods Classification


Oksana Egorova
(about the author)

Egorova Oksana – (The Russian Presidential Academy of National Economy and Public Administration)

Published in:
Global Markets and Financial Engineering (Russian version)
– Volume 2, Number 3 (July-September, 2015)

JEL classification: C50, G21, G33

Keywords: bankruptcy, methods of bank bankruptcy modelling, qualitative and quantitative indicators of bankruptcy risk, rating models, special analytical methods, statistical methods


Citation:
Oksana Egorova (2015). Bank Bankruptcy Approaches, Models and Diagnostic Methods Classification. Global Markets and Financial Engineering (Russian version), 2(3), 229-244. doi: 10.18334/grfi.2.3.1916


Share:

Abstract:

The articles analyses foreign and Russian studies in the area of bank bankruptcy modelling. Classification of approaches, models and bankruptcy forecast methods is given. Special analytical methods aimed at detection of signs of bank reports falsification and anomalous peaks.


Highlights:


► The methods for determining the signs of the banks’ bankruptcy that are based solely on the financial statements will not give a reliable prognosis as long as the problem of the statements data unreliability is not solved
► At banking fraud the causal relationships are such that criminal activities of the supervising persons in banks will always result in the appearance of the technical assets in the banks’ balance sheets and unreliability of the statements
► the criteria of “excessiveness” of the signs of the financial statements unreliability can be developed using the special analysis methods
► through the remote analysis of a bank it is possible to obtain the resultant index showing the probability of the bank’s using the regulation schemes, aggregate indicator of the bank’s credibility or quantitative adjustment amount of the key performance indicators and statutory requirements
► When diagnosing bankruptcy of the banks, it is necessary to pay close attention to the special computation– analytical and documentary methods of analysis, as well as to the models allowing to take into account the non– financial factors and the so-called IN-factors, such as incompleteness, inexactness, indeterminacy, inexactness, inaccuracy etc. until the unscrupulous players withdraw from the market.
► it’s important to develop such a direction as the viability evaluation of a bank’s business model, since it’s exactly the inefficient business schemes that consume the banks’ capitals and, eventually, lead to their transition to the nonmarket (criminal) business strategies








References:
Buzdalin, A.V. (2004). Sekrety distantsionnogo analiza banka. Biznes i banki, 36. Rezhim dostupa: http://www.buzdalin.ru/text/Distans.pdf
Vasilyuk, A., Karminskiy, A., Sosyurko, V. (2011). Sistema modeley reytingov bankov v interesakh IRB-podkhoda: sravnitelnyy i dinamicheskiy analiz (Preprint WP7/2011/07). M.: ID Vysshey shkoly ekonomiki.
Gerasimova, E.B. (2010). Turbo-analiz banka. M.: Forum.
Egorova, O.Yu. (2012). Spetsialnye metody vyyavleniya obstoyatelstv bankrotstva bankov. Denygi i kredit, 7, 57–60.
Karminskiy, A.M. (2011). Ispolzovanie informatsii nezavisimyh reytingovyh agentstv dlya analiza riskov bankov – uchastnikov sistemy strakhovaniya vkladov [Doklad]. Rezhim dostupa: https://www.asv.org.ru/upload/medialibrary/74b/110926.doc
Karminskiy, A.M., Kostrov, A.V., Murzenkov, T.N. (2012). Modelirovanie veroyatnosti defolta rossiyskikh bankov s ispolzovaniem ekonometricheskikh metodov (Preprint WP7/2012/04). M.: ID Vysshey shkoly ekonomiki.
Koshelyuk, Yu.M. (2008). Formirovanie reytingov dlya rossiyskikh bankov (Dis. … k.e.n.: 08.00.10). Moskva.
Peresetskiy, A.A. (2010). Modeli prichin otzyva litsenziy rossiyskikh bankov (Preprint #WP/2010/085). M.: Rossiyskaya ekonomicheskaya shkola.
Puganovskaya, T.I., Galyamin, A.V. (2008). Analiz zarubezhnyh issledovaniy v oblasti modelirovaniya bankrotstva kompanii. Problemy regionalnoy ekonomiki, 3, 46–61.
Solozhentsev, E.D. (2006). Stsenarnoe logiko-veroyatnostnoe upravlenie v biznese i tekhnike (2-e izd., ispr. i dop.). SPb: Biznes-pressa.
Totymyanina, K.M. (2011). Obzor modeley veroyatnosti defolta. Upravlenie finansovymi riskami, 1, 12–24.
Bluhm C., Overbeck, L, Wagner, C. (2010). An introduction to credit risk modeling (2nd ed.). Boca Raton: CRC Press.
Sahajwala, R., Van den Bergh, P. (2000). Supervisory Risk Assessment and Early Warning Systems (BCBS Working Paper № 4). Retrieved from: http://www.bis.org/publ/bcbs_wp4.pdf

Tel : +7 495 649 6241

Fax : +7 800 3331538

E-mail : bgscience@idbg.ru

Address : RUSSIA, 101000, Moscow, Myasnitskaya st. 13-2

BIBLIO-GLOBUS Science

BIBLIO-GLOBUS Science - one of the leading science publishers in Russia.

Read More
Other sites
  • BIBLIO-GLOBUS fiction
  • BIBLIO-GLOBUS bookstore
  • National Science Publishing Association (NATSPA)
© 2016 BIBLIO-GLOBUS Science (BIBLIO-GLOBUS Publishing House). All Rights Reserved