Relevant bibliographies by topics / Bankruptcy probability forecasting

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  1. Journal articles
  2. Dissertations / Theses
  3. Book chapters
  4. Conference papers

Academic literature on the topic 'Bankruptcy probability forecasting'

Author: Grafiati
Published: 28 May 2022
Last updated: 30 July 2025

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Journal articles on the topic "Bankruptcy probability forecasting"

1

Blazhevich, O., A. Karachun, and A. Suleymanova. "Comparative analysis and application of methods for predicting bankruptcy." Bulletin of Science and Practice, no. 5 (May 14, 2017): 161–75. https://doi.org/10.5281/zenodo.579745.

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In article methods of forecasting of bankruptcy are considered, their classification, the characteristic, a design procedure is given, merits and demerits are resulted. On an example of data of the accounting reporting of the enterprise–bankrupt the probability of bankruptcy is certain by each of analyzed methods. The analysis of procedures is lead and the most precise models are revealed.
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Kazakova, N. A., A. F. Leshchinskaya, and A. E. Sivkova. "Assessment and forecasting bankruptcy risk of mining companies." Russian Journal of Industrial Economics 11, no. 3 (2018): 261–72. http://dx.doi.org/10.17073/2072-1633-2018-3-261-272.

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Comparative analysis of domestic and foreign methods of bankruptcy diagnostics allowed to offer key determinants for modeling the probability of bankruptcy taking into account the industry specificity of mining and metallurgical companies. On the basis of a generalization of the results of the correlation analysis, a high interrelation between indices of industrial production and indices – indicators of the probability of bankruptcy of these companies was revealed. The possibilities of monitoring the evaluation of indicators obtained on the basis of financial statements. Monitoring of calculat
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Maykova, Anastasia A., Elena V. Rytova, and Yulia A. Dubolazova. "BANKRUPTCY FORECAST OF RUSSIAN CONSTRUCTION COMPANIES FOR STABLE DEVELOPMENT OF THE REGIONAL ECONOMY." EKONOMIKA I UPRAVLENIE: PROBLEMY, RESHENIYA 3/11, no. 156 (2025): 120–34. https://doi.org/10.36871/ek.up.p.r.2025.03.11.013.

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The issue of forecasting corporate bankruptcy has been relevant in recent years due to economic instability, geopolitical tensions, increased competition, the COVID-19 pandemic, and sanctions pressure. Corporate bankruptcy manifests itself in various forms and scales depending on the industry, region, and general economic situation in the country, and affects the state of the region. The purpose of the study is to develop a model for forecasting the probability of bankruptcy of companies involved in the construction industry. According to the modeling results, the overall predictive ability of
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БЖАССО, А. А. "ОЦЕНКА РИСКА НАСТУПЛЕНИЯ ВЕРОЯТНОСТИ БАНКРОТСТВА ОРГАНИЗАЦИИ НА ОСНОВЕ РОССИЙСКИХ И ЗАПАДНЫХ МОДЕЛЕЙ ПРОГНОЗИРОВАНИЯ БАНКРОТСТВА В ЦЕЛЯХ УСОВЕРШЕНСТВОВАНИЯ СТРАТЕГИИ ЕЕ УСТОЙЧИВОГО РАЗВИТИЯ". Экономика и предпринимательство, № 10(171) (7 жовтня 2024): 1422–27. http://dx.doi.org/10.34925/eip.2024.171.10.260.

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В статье описана деятельность компаний в современных условиях, их подверженность воздействию кризисных факторов, которые могут привести к вероятности банкротству. Дано определение и раскрыто понятие банкротства. Описаны существующие методы прогнозирования вероятности банкротства. Проведена оценка риска наступления вероятности банкротства организации на основе российских и западных моделей прогнозирования банкротства в целях усовершенствования стратегии устойчивого развития, на основе экономических показателей, ЗАО «Урупский ГОК». Обоснована необходимость прогнозирования вероятности наступления
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Hubanova, I. V. "Features of Modeling the Probability of Bankruptcy Using Discriminant Models with Application in Economic Forensics." Business Inform 2, no. 517 (2021): 88–93. http://dx.doi.org/10.32983/2222-4459-2021-2-88-93.

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The article is aimed at studying the methodologies of forecasting bankruptcy, their application in forensic economic expertise, which will allow to make managerial decisions substantiated from the point of view of financial security of an enterprise and create opportunities for stable functioning and development of the enterprise. All enterprises are affected by negative factors and may find themselves in a crisis situation. That is why the management of enterprise should apply all existing measures to prevent bankruptcy and overcome crisis situations. Any crisis situation can be corrected if
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Ivanova, E. "TO THE QUESTION OF IMPROVING THE METHODOLOGY OF FORECASTING BANKRUPTCY SMALL BUSINESS." EurasianUnionScientists 7, no. 9(78) (2020): 36–41. http://dx.doi.org/10.31618/esu.2413-9335.2020.7.78.1028.

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The aim of this paper is to identify the possibilities of applying of existing models for estimation of the probability of bankruptcy in domestic and foreign practice to predict the risk of default of small enterprises. The relevance of this research is due to the role the small businesses play in the social-economic development of regions and the country as a whole. The relationship between individual indicators of the region’s social-economic situation and the level of bankrupt enterprises in the total number of enterprises is shown. The differentiation of Russian regions in terms of social-
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KULAI, Svetlana V., and Evgenii E. SHVAKOV. "Development of MDA and Logit models to predict bankruptcy probability for Russian coal enterprises." Economic Analysis: Theory and Practice 24, no. 3 (2025): 194–216. https://doi.org/10.24891/ea.24.3.194.

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Subject. The study deals with forecasting the probability of bankruptcy for coal enterprises, represented by two variants of mathematical models: the MDA model and the logit model. Objectives. The aim is to develop a methodology for predicting the probability of bankruptcy based on data from Russian coal industry enterprises for 2014–2022. Methods. The study employs the coefficient method, correlation analysis, k-means method, cluster and factor analysis, MDA and logit models. Results. The development of models included several stages: formation of a basic system of financial coefficients; cre
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Levandovska, O. "APPLICATION OF ANALYTICAL TOOLS FOR EVALUATING THR PERFORMANCE OF A MANUFACTURING ENTERPRISE." Series: Economic science 5, no. 179 (2023): 9–14. http://dx.doi.org/10.33042/2522-1809-2023-5-179-9-14.

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The article focuses on the use of analytical tools, namely, methods of assessing the bankruptcy of an enterprise, developed by foreign authors. Calculations are made using various models, and it is proved that at the moment there is no "ideal" model that will take into account all the realities of the enterprise. The current unstable situation of Ukraine's economy, namely the full-scale invasion of the aggressor country by the Russian Federation, creates additional difficulties for enterprises for development and normal functioning, so the issue of timely performance assessment and efficiency
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9

Xiaosi, Xu, Chen Ying, and Zheng Haitao. "The comparison of enterprise bankruptcy forecasting method." Journal of Applied Statistics 38, no. 2 (2011): 301–8. http://dx.doi.org/10.1080/02664760903406470.

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Лоханова and Valyentina Lokhanova. "Forecasting in Crisis Management Organization." Administration 4, no. 4 (2016): 91–98. http://dx.doi.org/10.12737/22795.

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The relevance of scientific research in the field of crisis management due to the depressed state of the
 Russian economy, including its business sector. One of the important directions of the scientific school of the
 Department of corporate management is forecasting the development of the organization in crisis. The article
 defines the essence of anti-crisis forecasting, its objective, stages and influencing factors. Special attention
 is given to forecasting methods, their classification, selection criteria. The contribution of famous Russian
 and foreign scientist
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Dissertations / Theses on the topic "Bankruptcy probability forecasting"

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Ewertzh, Jacob. "Bankruptcy Distributions and Modelling for Swedish Companies Using Logistic Regression." Thesis, KTH, Matematisk statistik, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-252329.

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This thesis discusses the concept of bankruptcy, or default, for Swedish companies. The actual distribution over time is considered both on aggregate level and within different industries. Several models are constructed to best possible describe the default frequency. Mainly logistic regression models are designed for this purpose, but various other models are considered. Some of these are constructed for comparison and for the ambition to produce the most accurate model possible. A large data set of nearly 30 million quarterly observations is used in the analysis. Taking into account micro an
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Заїка, Ю. Д. "Прогнозування ймовірності банкрутства підприємства-позичальника". Master's thesis, Сумський державний університет, 2019. http://essuir.sumdu.edu.ua/handle/123456789/76149.

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В період нестабільного розвитку економіки досить актуальним стає питання кредитування. Значна кількість малих підприємств інколи просто не в змозі втриматися на ринку лише за рахунок власних коштів. Саме тоді стає досить важливою роль банків на бізнес арені. Метою випускної кваліфікаційної (дипломної) роботи є дослідження причин банкрутства підприємства, можливості запобігання та попередньої оцінки кредитоспроможності позичальника, вдосконалення методів прогнозування банкрутства. Об’єктом дослідження є оцінювання ймовірності банкрутства підприємствапозичальника. Предметом дослідження є віднос
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Book chapters on the topic "Bankruptcy probability forecasting"

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Volontyr, Lyudmila. "THEORETICAL GROUNDS OF ASSESSING THE PROBABILITY OF AN ENTERPRISE BANKRUPTCY UNDER THE CONDITIONS OF THE PANDEMIC AND ITS IMPACT ON EXPORT-IMPORT OPERATIONS IN UKRAINE." In Global trends and prospects of socio-economic development of Ukraine. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-193-0-3.

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The purpose of the work is to study the transformation of the concept of bankruptcy in Ukraine and the world in pandemic conditions, carrying out econometric modeling of exports and imports and taking into account seasonal fluctuations and their forecasting. Methodology. The paper considers the legal settlement of the grounds, procedures and consequences of the debtor’s insolvency. The concept of “bankruptcy” is used in many socio-political and natural sciences where it is given its own interpretation. The most typical definitions of the concept of “bankruptcy” that occur in foreign and domest
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Voloshyna, Oksana. "METHODS OF BANKRUPTCY PREDICTION AT THE ENTERPRISES UNDER CONDITIONS OF QUARANTINE RESTRICTIONS DUE TO THE COVID-19 PANDEMIC." In Theoretical and practical aspects of the development of modern scientific research. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-195-4-3.

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The problem of bankruptcy prevention is growing in importance under conditions of the decline of economic growth and quarantine restrictions caused by the COVID-19 pandemic, which has significantly affected the domestic economy. In the second reading, the Ukrainian Parliament adopted amendments to the Code of Ukraine on the Bankruptcy Procedure, which banned moratorium on bankruptcy initiation by the creditors. Thus, there was approved “Draft Law on Amendments to Certain Legislative Acts to Regulate Certain Issues of Bankruptcy Procedures for the Period of Implementation of the Measures Aimed
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Sokolova, L. V., and M. S. Soloviov. "FORECASTING THE PROBABILITY OF BANKRUPTCY AS A METHOD FOR ASSESSING THE FINANCIAL STABILITY OF AN ENTERPRISE." In Sustainable economic development: innovative approaches and strategic perspectives. Press of the Kharkiv National University of Radioelectronics, 2025. https://doi.org/10.30837/ek.2024.029.

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Conference papers on the topic "Bankruptcy probability forecasting"

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Smolenkova, Ekaterina Aleksandrovna. "Assessment of the probability of bankruptcy of PJSC Lukoil." In International Research-to-practice conference, chair Iuliia Sergeevna Tsertseil. Publishing house Sreda, 2023. http://dx.doi.org/10.31483/r-109510.

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The article describes bankruptcy issues and information on conducting an assessment of the probability of assessing the bankruptcy of companies. Based on the data from the accounting statements of the oil and gas company PJSC Lukoil, the probability of bankruptcy of the company was assessed using four bankruptcy forecasting models. The article presents the conclusions of the analysis, evaluates the success of the introduction of the financial policy of the company.
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Zhukevych, Svitlana, and Natalia Zhuk. "DIAGNOSTICS OF CRISIS SITUATIONS IN THE MANAGEMENT OF FINANCIAL SECURITY: AN EXAMPLE OF FOOD INDUSTRY ENTERPRISES." In Innovative Solutions for Managing the Economy in an International Crisis Scenario. Oikos Institute – Research Center, Bijeljina, Bosnia and Herzegovina, 2023. http://dx.doi.org/10.61432/cpne0101217z.

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Food industry enterprises play an important role in the economy. They provide the population with food, create jobs, and make a significant contribution to the production of the gross domestic product. However, competition and an unstable market situation lead to crisis situations. Therefore, for the financial security of the enterprise, it is necessary to determine and analyze the probability of bankruptcy in advance and diagnose the reasons for its occurrence. The methods of discriminant analysis and economic and statistical forecasting create opportunities for determining the probability of
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Kornilova, Iuliia Sergeevna. "Financial health of the company as a factor of the company's strategic development." In XI scientific and practical conference with international participation, chair Iuliia Sergeevna Tsertseil. Publishing house Sreda, 2024. http://dx.doi.org/10.31483/r-110343.

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This article considers various methods of assessing the probability of bankruptcy of the company. It describes the main statistical models and their application for forecasting the financial condition of the company on the example of PJSC Tatneft. Also analyzes the factors that may affect the investment attractiveness of the company. In conclusion, the author draws a conclusion about how effectively the company uses its cash and suggests measures to improve some financial indicators.
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TEODORESCU, Vlad, and Cătălina-Ioana TOADER. "Using Machine Learning to Model Bankruptcy Risk in Listed Companies." In The International Conference on Economics and Social Sciences. Editura ASE, 2024. http://dx.doi.org/10.24818/icess/2024/055.

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This article extensively studies the optimisation and relative performance of three classes of machine learning models (logistic regression with regularisation, Random Forest, and XGBoost) to quantify the probability of bankruptcy using financial data from a database of listed companies in Taiwan. The database covers the period from 1999 to 2009, contains 95 financial ratios from 7 categories, has 6,819 observations, and has a bankruptcy rate of approximately 3.2%. The database choice stemmed from our wish of utilising a dataset which was publicly available and that posed high quality and mode
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