Relevant bibliographies by topics / Bankruptcy forecasting methods

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

Academic literature on the topic 'Bankruptcy forecasting methods'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Bankruptcy forecasting methods"

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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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Kopczyński, Paweł. "Bankruptcy risk assessment of Polish listed companies using Asian multiple discriminant analysis models." Zeszyty Teoretyczne Rachunkowości 46, no. 2 (2022): 69–96. http://dx.doi.org/10.5604/01.3001.0015.8810.

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Purpose: The main purpose of this article is to evaluate whether multiple discriminant analysis models developed in Malaysia to forecast the bankruptcy of Malaysian indus-trial companies and Singaporean companies can be useful in assessing the risk of bank-ruptcy of Polish listed companies. Methodology/approach: To test the efficacy of these discriminant models, the finan-cial statements of 25 bankrupt Polish companies and 25 viable companies were used. The accuracy of the classification of these enterprises into two groups (potential bank-ruptcy and companies able to survive on the market) wa
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Korol, Tomasz. "Dynamic Bankruptcy Prediction Models for European Enterprises." Journal of Risk and Financial Management 12, no. 4 (2019): 185. http://dx.doi.org/10.3390/jrfm12040185.

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This manuscript is devoted to the issue of forecasting corporate bankruptcy. Determining a firm’s bankruptcy risk is one of the most interesting topics for investors and decision-makers. The aim of the paper is to develop and to evaluate dynamic bankruptcy prediction models for European enterprises. To conduct this objective, four forecasting models are developed with the use of four different methods—fuzzy sets, recurrent and multilayer artificial neural network, and decision trees. Such a research approach will answer the question of whether changes in indicators are relevant predictors of a
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Inam, Fraz, Aneeq Inam, Muhammad Abbas Mian, Adnan Ahmed Sheikh, and Hayat Muhammad Awan. "Forecasting Bankruptcy for organizational sustainability in Pakistan." Journal of Economic and Administrative Sciences 35, no. 3 (2019): 183–201. http://dx.doi.org/10.1108/jeas-05-2018-0063.

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Purpose Considering the economic dimension of sustainability, the purpose of this paper is to analyze the risk of bankruptcy in the Pakistani firms of the non-financial sector from years 1995 to 2017. Design/methodology/approach Three techniques were used which include multivariate discriminant analysis (MDA), logit regression and multilayer perceptron artificial neural networks. The accounting data of firms were selected one year before the bankruptcy. Findings Findings were obtained by comparing and analyzing the methods which show that neural networks model outperforms in the prediction of
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KOTZERUBA, N.V. "Methodology for predicting the potential bankruptcy of an enterprise." Market Relations Development in Ukraine №9(256)2022 102 (December 15, 2022): 39–50. https://doi.org/10.5281/zenodo.7441787.

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The subject of the study is a set of methodical features of the implementation of the financial status and forecasting the threat of bankruptcy of the enterprise. The purpose of writing the article is to study the theoretical aspects of the analysis for the purpose of forecasting the bankruptcy of an enterprise based on the results of a decrease in its solvency. Methodology of the work – in the process of writing this article, general scientific and specific methods were used, in particular, economic and logical methods and methods of economic analysis; graphical and tabular methods were
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L. H, Solianyk, Shtefan N. M, and Nikolaienko A. O. "Fintech tools for predicting bankruptcy: integration of traditional and innovative approaches." Economic Bulletin of Dnipro University of Technology 81 (June 2023): 128–35. http://dx.doi.org/10.33271/ebdut/82.128.

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Methods. The theoretical and methodological basis of the study is the scientific developments of domestic and foreign scholars related to the issues of determining the role and features of using traditional discriminant models of bankruptcy forecasting and modern FinTech tools. The results of the study were obtained using the methods of abstraction; general and particular – in establishing the unity of existing traditional methods of bankruptcy forecasting and innovative FinTech technologies; the systematic method was used to systematise a wide range of FinTech tools specifically designed to p
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Apatova, Nataliya Vladimirovna, and Vitaliy Borisovich Popov. "FORECASTING BANKRUPTCY OF ENTERPRISES USING ARTIFICIAL INTELLIGENCE." Scientific Bulletin: finance, banking, investment., no. 2 (51) (2020): 113–20. http://dx.doi.org/10.37279/2312-5330-2020-2-113-120.

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With increasing competition, the market situation is constantly changing and many enterprises are at risk of bankruptcy. There are various methods for predicting the insolvency of manufacturing enterprises, but artificial intelligence methods allow this to be more accurately. Global data used for the analysis and forecasting of bankruptcy reveal the general patterns of this economic phenomenon. An analysis of publications on predicting bankruptcy of enterprises made it possible to identify frequently used mathematical models constructed for foreign firms and giving high accuracy for Russian on
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NEVREDINOV, Aleksandr R. "The instrumental machine learning methods for corporate bankruptcy prediction." Finance and Credit 27, no. 9 (2021): 2118–38. http://dx.doi.org/10.24891/fc.27.9.2118.

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Subject. It is very important for corporate governance and a choice of partners to evaluate the company’s position. Therefore, bankruptcy forecast methods have been actively studied in theoretical and practical proceedings for a long time. Recurring crises and high market dynamics make the subject especially relevant. Objectives. I develop the instrumental method based on machine learning to predict corporate bankruptcy. The study also reviews data sources, the potential of forecasting models, and chooses inputs for company analysis. Methods. I applied methods of analysis and synthesis, and th
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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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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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Dissertations / Theses on the topic "Bankruptcy forecasting methods"

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Mota, Stephen Kopano. "A matched study to determine a conditional logistic model for prediction of business failure in South Africa." Thesis, Stellenbosch : Stellenbosch University, 2001. http://hdl.handle.net/10019.1/52084.

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Thesis (MBA)--Stellenbosch University, 2001<br>ENGLISH ABSTRACT: The subject of prediction of business failure from an academic point of view dates back to the turn of the century with the development of a single ratio, the current ratio, as an evaluation of credit-worthiness. Subsequently studies conducted have become complex using different statistical techniques and more than one variable to predict failure. The challenge in these studies has been to establish a reliable model to predict failure. The aim of this report was to find out which financial factors best predicted failure in
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Павлов, Р. А. "Рання діагностика банкрутства банків". Thesis, Дніпропетровський національний університет, 2008. http://essuir.sumdu.edu.ua/handle/123456789/51370.

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У дисертації досліджено теоретичні основи ранньої діагностики банкрутства банків. Проведено аналіз основних методичних підходів до раннього діагностування банкрутства банків та обґрунтовано доцільність ранньої діагностики потенційного банкрутства банків на основі застосування методу штучних нейронних мереж, який базується на процедурі некерованого навчання, зокрема, карт Кохонена, що самоорганізовуються. Запропоновано удосконалення механізму ранньої діагностики шляхом впровадження узагальнюючого показника схильності банку до банкрутства на основі побудови кластерної моделі банківської системи
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Rama, Kavir D. "An empirical evaluation of the Altman (1968) failure prediction model on South African JSE listed companies." Thesis, 2013. http://hdl.handle.net/10539/12535.

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Credit has become very important in the global economy (Cynamon and Fazzari, 2008). The Altman (1968) failure prediction model, or derivatives thereof, are often used in the identification and selection of financially distressed companies as it is recognized as one of the most reliable in predicting company failure (Eidleman, 1995). Failure of a firm can cause substantial losses to creditors and shareholders, therefore it is important, to detect company failure as early as possible. This research report empirically tests the Altman (1968) failure prediction model on 227 South African JSE
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Books on the topic "Bankruptcy forecasting methods"

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Bleier, Ernst. Insolvenzfrüherkennung mittels praktischer Anwendung der Diskriminanzanalyse. Service, Fachverlag an der Wirtschaftsuniversität, 1985.

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Orehov, Vladimir, Tat'yana Orehova, Konstantin Baldin, Vladimir Busov, and Nina Perekalina. Crisis management. INFRA-M Academic Publishing LLC., 2022. http://dx.doi.org/10.12737/1085324.

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The textbook examines the anti-crisis management of the economy and security of the Russian Federation in the context of international economic and political sanctions, financial, information and computer attacks and challenges, attempts at military confrontation with Russia, as well as management in the context of reforming, transforming the economy by moving away from the liberal paradigm, taking into account trends at the macro and micro levels. The theoretical and practical foundations of the insolvency (bankruptcy) of enterprises, methods of forecasting the results of anti-crisis manageme
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The prediction of corporate bankruptcy: A discriminant analysis. Garland, 1988.

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Book chapters on the topic "Bankruptcy forecasting methods"

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Avci, Pınar, and Sevgi Sümerli Sarigül. "Enterprise Risk Management and Bankruptcy." In Bankruptcy and Reorganization in the Digital Business Era. IGI Global, 2023. http://dx.doi.org/10.4018/978-1-6684-5181-6.ch007.

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This study explains bankruptcy by talking about risk, risk types, and risk management and bankruptcy forecasting models. The studies in the literature are examined and explained as risk, danger, possibility of bad consequences, loss, or misfortune. Types of risks, purchasing power, interest rate, market, political, exchange rate, financial, industry, corporate bond, liquidity, taxation, reinvestment, country, dynamic, structural, conditional, customer, financial/regulatory, reputation/loss, corporate and interpretation risks are identified in the literature. The study explains bankruptcy as th
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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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Seifipour, Roya, and Azadeh Mehrabian. "Application of Artificial Neural Networks in Economic and Financial Sciences." In Advances in Adaptive Filtering Theory and Applications [Working Title]. IntechOpen, 2025. https://doi.org/10.5772/intechopen.1007604.

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Neural networks excel in handling complex, non-linear relationships, making them suitable for predictions where traditional linear models fall short. Applications include forecasting exchange rates, stock prices, and bankruptcy risks, demonstrating superior accuracy compared to conventional methods. In the realm of economics, neural networks facilitate the integration of theories like the Kuznets curve with advanced modeling techniques, allowing for nuanced analyses of economic development and environmental impacts. They also play a critical role in identifying financial risks, enabling policy
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Patlasov, Oleg Y., and Olga K. Mzhelskaya. "Scoring Modeling in Estimating the Financial Condition of Russian Agro-Industrial Companies." In Global Trends of Modernization in Budgeting and Finance. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7760-7.ch008.

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The chapter presents the authors' estimations according to the scoring modeling techniques; also, internationally spread models of bankruptcy forecasting are systematized. Advantages and disadvantages of dynamic modelling methods as applied to financial condition assessment are presented here. Methodological problems of financial modelling are explained here in detail. Regression, logit-regression, and discriminant models are built on the basis of data on the Rosselkhozbank and Sberbank of Russia regulations, taking into account the agrarian specifics of organizations and regional specificity
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Aleskerova, Yuliia. "MANAGEMENT OF THE CREDIT PROCESS IN UKRAINE." In Traditional and innovative approaches to scientific research: theory, methodology, practice. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-241-8-22.

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The purpose of the article is to determine and determine the results of lending from LLC "Khmilnytskyi Dry Skimmed Milk Plant "Molochny Visit" in order to prevent its bankruptcy with the help of timely lending, calculation of indicators. Directions for improving the statutory crediting of the plant by economic and financial methods are proposed. The definition and meaning of credit for Ukrainian enterprises is analyzed. The results. Calculations were made for the analysis of the financial condition of the plant, forecast values for its bankruptcy and the distribution of credit rhesus to suppor
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Sriram, Harish Kumar. "The anatomy of credit risk: Traditional models vs. intelligent systems." In Deep Science Publishing. Deep Science Publishing, 2025. https://doi.org/10.70593/978-93-49910-41-6_5.

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Credit risk management is a field that continues to require thorough research, owing to the fact that the inability of borrowers to service their obligations has led to the failure of numerous financial institutions. Traditional models, some of which were developed over half a century ago, have been used widely to evaluate counterparty defaults. However, as demonstrated in the latest financial crisis, these models have not been successful in capturing the main risk drivers that have been responsible for the adverse developments in the credit quality of borrowers. The purpose of this paper is t
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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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Shevchuk, Oleksandr, and Olena Shevchuk. "THEORETICAL AND METHODOLOGICAL FUNDAMENTALS OF INTEGRAL ASSESSMENT OF FINANCIAL SUSTAINABILITY OF THE ENTERPRISE." In Global trends and prospects of socio-economic development of Ukraine. Publishing House “Baltija Publishing”, 2022. http://dx.doi.org/10.30525/978-9934-26-193-0-15.

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The urgency of improving the financial security of Ukrainian enterprises in the current unstable economic conditions of their operation is one of the most important tasks of both the state and the business entities themselves. The search for opportunities to strengthen the financial situation should be facilitated by a systematic and objective analysis of the activities of any enterprise, the results of which allow you to respond quickly to changes in external and internal business environment, make sound management decisions on financial regulation. The paper conducts a thorough study of exis
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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 forecasting methods"

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Zaychenko, Yuriy, and Michael Zgurovsky. "Banks Bankruptcy Risk Forecasting with Application of Computational Intelligence Methods." In 2019 IEEE 14th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT). IEEE, 2019. http://dx.doi.org/10.1109/stc-csit.2019.8929872.

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MERKEVIČIUS, E. "FORECASTING OF BANKRUPTCY WITH THE SELF-ORGANIZING MAPS ON THE BASIS OF ALTMAN'S Z-SCORE." In Computer Aided Methods in Optimal Design and Operations. WORLD SCIENTIFIC, 2006. http://dx.doi.org/10.1142/9789812772954_0018.

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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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Maturo, Fabrizio, Donato Riccio, Giuseppe Bifulco, Paolone Francesco, and Andrea Mazzitelli. "Data-Driven Strategies for Early Detection of Corporates’ Financial Distress." In CARMA 2024 - 6th International Conference on Advanced Research Methods and Analytics. Universitat Politècnica de València, 2024. http://dx.doi.org/10.4995/carma2024.2024.17826.

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Scholars have taken a keen interest in predicting corporate crises in the past decades. However, most studies focused on classical parametric models that, by their nature, can consider few predictors and interactions and must respect numerous assumptions. Over the past few years, the economy has faced a severe structural crisis that has resulted in significantly lower income, cash, and capital levels than in the past. This crisis has led to insolvency and bankruptcy in many cases. Hence, there is a renewed interest in research for new models for forecasting business crises using novel advanced
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Pavlutskikh, Marina Vasilyevna, Valentina Aleksandrovna Borovinskikh, and Aliya Uralovna Esembekova. "Analysis of an organization bankruptcy forecasting under the conditions of the Kurgan Region by means of native methods." In III International applied research conference. TSNS Interaktiv Plus, 2016. http://dx.doi.org/10.21661/r-80336.

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Muntean, Neli, Mihaela Birsan, and Iulian Muntean. "Corporate insolvencies evolution in Republic of Moldova during 2013 – 2020 period." In 4th Economic International Conference "Competitiveness and Sustainable Development". Technical University of Moldova, 2022. http://dx.doi.org/10.52326/csd2022.34.

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Due to the strong support and help of the government during the recent economic crisis, the number of corporate insolvencies in the Republic of Moldova maintained the same tendency since 2017. This paper focuses on the evolution of firm exit due to bankruptcy in the countries of Central and Eastern Europe, with a special attention to the Republic of Moldova. The study was carried out on a sample of 15 countries in the period 2013-2020. Data was collected from Euler Hermes, Allianz Research and Creditreform reports. The research methods used in this paper are: data collection, data processing,
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