Bankruptcy prediction for Russian companies: Application of combined classifiers

Fedorova, Elena; Gilenko, Evgenii V.; Довженко, С Е

doi:10.1016/j.eswa.2013.07.032

Cited by 76 publications

(29 citation statements)

References 15 publications

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“…In their study they detected that macroeconomic variables show some reliability problems. [27] used a series of diverse techniques (MDA, NN, DT and Logit) for Russian firms. In their models they attained a precision of 87.80%.…”

Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

A Global Model for Bankruptcy Prediction

2016

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The recent world financial crisis has increased the number of bankruptcies in numerous countries and has resulted in a new area of research which responds to the need to predict this phenomenon, not only at the level of individual countries, but also at a global level, offering explanations of the common characteristics shared by the affected companies. Nevertheless, few studies focus on the prediction of bankruptcies globally. In order to compensate for this lack of empirical literature, this study has used a methodological framework of logistic regression to construct predictive bankruptcy models for Asia, Europe and America, and other global models for the whole world. The objective is to construct a global model with a high capacity for predicting bankruptcy in any region of the world. The results obtained have allowed us to confirm the superiority of the global model in comparison to regional models over periods of up to three years prior to bankruptcy.

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Section: Literature Review and Research Hypothesesmentioning

confidence: 99%

A Global Model for Bankruptcy Prediction

2016

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“…Previous research has proposed many statistical and intelligent methods to predict corporate bankruptcy, although there is no overall best method that has been used (Chen, et al, 2013;Fedorova, Gilenko & Dovzhenko, 2013;Lee & Choi, 2013;Xu, et al, 2014). We build on this previous research and go a step ahead in several domains.…”

Section: Discussionmentioning

confidence: 96%

Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks

López‐Iturriaga

Sanz

2015

Expert Systems with Applications

170

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“…Fedorova et al (2013) compared the performance of these models with the results obtained using models created in developed countries (by Altman, Springate, Taffler and Zmijewski) and it unexpectedly appeared that the latter were better at predicting the bankruptcies of Russian manufacturing companies. Later, these authors built national models using the following techniques: linear multidimensional discriminant analysis, logit method, classification trees and neural networks.…”

Section: Russiamentioning

confidence: 99%

Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries

Prusak

2018

IJFS

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Abstract:In developed countries, the first studies on forecasting bankruptcy date to the early 20th century. In Central and Eastern Europe, due to, among other factors, the geopolitical situation and the introduced economic system, this issue became the subject of researcher interest only in the 1990s. Therefore, it is worthwhile to analyze whether these countries conduct bankruptcy risk assessments and what their level of advancement is. The main objective of the article is the review and assessment of the level of advancement of bankruptcy prediction research in countries of the former Eastern Bloc, in comparison to the latest global research trends in this area. For this purpose, the method of analyzing scientific literature was applied. The publications chosen as the basis for the research were mainly based on information from the Google Scholar and ResearchGate databases during the period Q4 2016-Q3 2017. According to the author's knowledge, this is the first such large-scale study involving the countries of the former Eastern Bloc-which includes the following states: Poland, Lithuania, Latvia, Estonia, Ukraine, Hungary, Russia, Slovakia, Czech Republic, Romania, Bulgaria, and Belarus. The results show that the most advanced research in this area is conducted in the Czech Republic, Poland, Slovakia, Estonia, Russia, and Hungary. Belarus Bulgaria and Latvia are on the other end. In the remaining countries, traditional approaches to predicting business insolvency are generally used.

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Bankruptcy prediction for Russian companies: Application of combined classifiers

Cited by 76 publications

References 15 publications

A Global Model for Bankruptcy Prediction

A Global Model for Bankruptcy Prediction

Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks

Review of Research into Enterprise Bankruptcy Prediction in Selected Central and Eastern European Countries

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