Scientific and methodical approach to improvement of the borrowing bank creditworthiness assessing based on early detection of bankruptcy traits
Keywords:
bankruptcy probability, scientific and methodical approach, creditworthiness, bank-borrower, indicatorsAbstract
Introduction. The paper has noted that an important component in the process of assessing the creditworthiness of borrowing banks is the assessment of their bankruptcy probability.
Method (methodology).The use of parametric and nonparametric methods for assessing the probability of bank bankruptcy is identified. The parametric methods are statistical and used to classify the observations by two or more groups depending on the individual characteristics of observation. The nonparametric method is based on trait recognition, the peculiarity of which is the complete utilization of information represented by interaction of independent variables.
Results. It has been worked out the scientific and methodical approach to the methods of assessing the bankruptcy probability, which should be used in the counterparty bankmonitoring system. This model provides six phases. The first phase involves the calculation describing the bank major activities and operating environment status. The second phase of the method is normalization. The third phase is generalization of normalized indicators into six coefficients using the arithmetic mean. The fourth phase of the method provides the determination of the weight coefficients for each group of coefficients. The fifth phase of the developed method includes the calculation of a complex index characterizing the probability of bank bankruptcy by the arithmetic mean of the weighted coefficients. The final phase involves the determination of the bank bankruptcy probability.
This model allows rapid response to environmental conditions by changing the weight coefficients, thus providing the accurate and actual results. The scientific value of the proposed method for determination of the bank bankruptcy probability is its forecasting and the ability to create all required conditions to avoid or mitigate the adverse consequences of the growing threats which are generated by the bank operating environment on the basis of the findings.
Scope of application. On the basis of received data, the bank management can take timely preventive measures to prevent or avoid the adverse effects of credit risk realization in relations with the borrowing bank.
References
Golovan, S. A. (2004). Probability of Default Models of Russian Banks. The impact of macroeconomic factors on the stability of banks. Moscow: RESH.
Pereckiy, A. A. (2007). Methods for assessing the probability of default of the bank. Moscow: Economics and Mathematical Methods, 3, 37-62.
Clare, A. (2002). Calculating the probability of failure of the Norwegian banking. Journal of Multinational Financial Management, 12.
Kolari, J. (1996). Trait recognition: An alternative approach to early warning systems in commercial banking. Journal of Business Finance and Accounting, 23, 1412-1434.
Lanine, G. (2006). Failure prediction in the Russian bank sector with logit and trait recognition models. Expert Systems with Applications, 30, 463-478.
Altman, E. (1968). Financial ratios, discriminant analysis and the prediction of corporate bankruptcy. The Journal of Finance, 4, 589-610.
Premachandra, I. M. (2009). DEA as a tool for bankruptcy assessment: A comparative study with logistic regression technique. European Journal of Operational Research, 193, 412-424.
Zhao, H. (2009). WEffects of feature construction on classification performance: An empirical study in bank failure prediction . Expert Systems with Applications, 36, 2333-2644.
Downloads
Published
Issue
Section
License
License terms: authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License International CC-BY-NC that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
If the article is accepted for publication in the journal «Ekonomichnyy analiz» the author must sign an agreement on transfer of copyright. The agreement is sent to the postal (original) or e-mail address (scanned copy) of the journal editions.
By this agreement the author certifies that the submitted material:
- does not infringe the copyright of other persons or organizations;
- was not previously published in other publishing houses and has not been submitted for publication in other editions.
The author passes the editorial board of the journal «Ekonomichnyy analiz» rights to:
- publication of the article in Ukrainian (English) language and distribution of its printed copy;
- translation of the article into English language (for articles in Ukrainian language) and distribution of its translated printed copy;
- distribution of the article electronic copy, as well as electronic copy of the article English translation (for articles in Ukrainian), via any electronic means (placing on the official web-site of the journal, electronic databases, repositories, etc.) printed copy of the translation.
The author reserves the right without the consent of the editorial board and founders:
- Use the materials of the article in whole or in part for educational purposes.
- Use the materials of the article in whole or in part to write their own dissertations.
- Use the materials of the article for the preparation of abstracts, conference reports, as well as oral presentations.
- Place electronic copies of the article (including the final electronic copy downloaded from the official web-site of the journal) to:
- personal web-resources of all authors (web-sites, web-pages, blogs, etc.);
- web-resources of institutions where authors work (including electronic institutional repositories);
- non-commercial web-resources of open access.
In all cases, the availability of a bibliographic link to an article or hyperlink to its electronic copy on the official website of the journal is compulsory.