Gotowe bibliografie tematyczne / Bankrupt companies

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Gotowa bibliografia na temat „Bankrupt companies”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Bankrupt companies"

A.Kadim, A. Kadim, Adji Suratman, and Muhammad Abdul Muis. "ANALISIS RISIKO KEBANGKRUTAN DENGAN METODE ALTMAN Z-SCORE, SPRINGATE, DAN ZMIJEWSKI PADA PERUSAHAAN HIBURAN KOREA YANG TERCATAT DI BURSA KOREA TAHUN 2012 – 2016." Jurnal SEKURITAS (Saham, Ekonomi, Keuangan dan Investasi) 2, no. 2 (2019): 141. http://dx.doi.org/10.32493/skt.v2i2.2496.

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ABSTRACTThis study aims to analyze the risk of bankruptcy in Korean entertainment companies listed on the Korean Exchange in 20122016. The research methodology used is a comparative descriptive method with panel data and quantitative data obtained on the Korean Exchange. Sampling technique using purposive sampling method with data during the period of 2012 until 2016. Data analysis techniques used are different test techniques. The results of this research showed that calculation with altman zscore was able to predicts 19 non-bankrupt companies, 3 companies in grey area, and 3 bankrupt compani

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Ika, Yuanita, Trinanto Novirwan, Sumiarti Elni, and Yenida. "Bankruptcy Prediction Model Under Uncertainty in Indonesia." International Journal of Social Science and Human Research 08, no. 04 (2025): 2583–92. https://doi.org/10.5281/zenodo.15314662.

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This paper assesses three issues in predicting of the bankruptcy under uncertainty in the COVID-19 pandemic within the Textile and Garment companies listing in the IDX Stock Exchange. First, it determines the industry characteristics that categorizes potential to bankrupt or non-bankrupt. Second, it identifies predictors as the benchmark model’s that can indicate a company's potential to bankrupt. Third, it assesses the bankruptcy prediction panels are more significant than the benchmark model’s that concerning the financial ratios, firm characteristics, and macroeconomic. Using th

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Sulaeman, Retno Sulati, and Eka Nurcahyani. "ANALISIS ALTMAN Z-SCORE UNTUK MENILAI TINGKAT KESEHATAN KEUANGAN PERUSAHAAN MANUFAKTUR SUB SEKTOR FARMASI YANG TERDAFTAR DI BURSA EFEK INDONESIA PERIODE 2017-2020." AKSELERASI: Jurnal Ilmiah Nasional 4, no. 1 (2022): 77–92. http://dx.doi.org/10.54783/jin.v4i1.530.

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This study aims to analyze the Altman Z-Score to assess the level of financial soundness of manufacturing companies in the pharmaceutical sub-sector. This research uses descriptive quantitative method. The type of data applied is quantitative data. Quantitative data in the form of business entity financial data obtained from annual financial reports that have been audited and published in pharmaceutical sub-sector manufacturing companies listed on the Indonesia Stock Exchange for the period 2017 to 2020. Based on the results of the analysis, it can be seen that in 2017 and In 2018, there were

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Noh, Seol-Hyun. "Comparing the Performance of Corporate Bankruptcy Prediction Models Based on Imbalanced Financial Data." Sustainability 15, no. 6 (2023): 4794. http://dx.doi.org/10.3390/su15064794.

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Forecasts of corporate defaults are used in various fields across the economy. Several recent studies attempt to forecast corporate bankruptcy using various machine learning techniques. We collected financial information on 13 variables of 1020 companies listed on the KOSPI and KOSDAQ to capture the possibility of corporate bankruptcy. We propose a data processing method for small-sample domestic corporate financial data. We investigate the case of random sampling of non-bankrupt companies versus sampling non-bankrupt companies based on approximate entropy and optimized threshold based on AUC

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Nashohah, Dalilatun, and Toha Barizi. "Analisis Financial Distress dengan Menggunakan Metode Springate Pada Perusahaan Sektor Pariwisata dan Transportasi Yang Terdaftar Di BEI Pada Tahun 2018– 2020." Al-Kharaj: Jurnal Ekonomi, Keuangan & Bisnis Syariah 5, no. 6 (2023): 159–72. http://dx.doi.org/10.47467/alkharaj.v5i6.159.

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The purpose of this research is to find out which companies have indications of bankruptcy in the tourism and transportation sectors, both of which are experiencing a slump after the outbreak of the covid-19 pandemic. This research is a descriptive quantitative study using secondary data. The sample in this study was 51 companies consisting of 20 companies registered in the tourism sector and 31 companies registered in the transportation sector companies. This study found that in the tourism sector, on average, it was in the bankrupt category, there were only 6 (30%) companies in the safe cate

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Shiv Ranjan. "A Study on Earnings Management of Indian Bankrupt Companies." Journal of Information Systems Engineering and Management 10, no. 34s (2025): 76–88. https://doi.org/10.52783/jisem.v10i34s.5777.

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In order to suppress their financial crises from stakeholders and prevent unfavorable outcomes like a damaged reputation or legal action, bankrupt enterprises could be more motivated to forge revenues. Therefore, in comparison to other organizations, bankrupt firms are probably going to be more involved in actual earnings management. We have thus made the decision to look at how much real earnings management is used by bankrupt firms in comparison to other businesses. This study imparts evidence that managers in bankrupt companies employ real earnings management (REM) activities to manipulate

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Rismadi, Maulivia Riska, Meutia Handayani, Rizki Ramadhan, Cut Yunina Eriva, and Talbani Farlian. "Prediksi Kebangkrutan Menggunakan Metode Altman dan Springate pada Perusahaan Penerbangan yang Terdaftar di Bursa Efek Indonesia." Jurnal Penelitian Ekonomi Akuntansi (JENSI) 7, no. 1 (2023): 91–100. http://dx.doi.org/10.33059/jensi.v7i1.7671.

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This study aims to predict bankruptcy in airline companies listed on the Indonesia Stock Exchange, using the Altman and Springate methods during the 2019-2021 period. This research uses quantitative methods in the form of secondary data. The data used is in the form of financial statement data for airline companies listed on the IDX through the website www.idx.com. The population used are airline companies, namely, PT Garuda Indonesia Tbk, PT Air Asia Indonesia Tbk, PT Indonesia Transport & Infrastructure Tbk, and PT Jaya Trishindo Tbk. The results of the Altman and Springate methods can c

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Wulansari, Siska, and Nelvirita Nelvirita. "Prediksi Kebangkrutan dengan Model Grover, Altaman Z-Score, Springate, Zmijewski, Olhson dan Fulmer: pada Perusahaan Pertambangan di Bursa Efek Indonesia (BEI) Tahun 2017 – 2021." Jurnal Nuansa Karya Akuntansi 2, no. 3 (2024): 307–19. https://doi.org/10.24036/jnka.v2i3.54.

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The aim of this research is to determine (1) predictions of bankruptcy for mining companies listed on the Indonesia Stock Exchange using the Altman Z-Score, Springate, Fulmer, Ohlson, Zmijewski and Grover models from 2017 to 2021, and (2) to determine the level of accuracy six models in predicting bankruptcy. The sampling method used purposive sampling with several criteria which resulted in 37 samples of mining companies during 5 years of data observation. The research results show that, using the Altman model and the Ohlson model, it is estimated that 12 companies will experience bankruptcy.

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Alfitra Rinaldo, Hasnati, and Indra Afrita. "JURIDICAL REVIEW AGAINST REJECTION OF PEACE IN THE CASE OF BONDED COMPANY." JILPR Journal Indonesia Law and Policy Review 2, no. 2 (2021): 73–90. http://dx.doi.org/10.56371/jirpl.v2i2.45.

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Parties who take the initiative to apply for PKPU are generally debtors, namely debtors who are unable or expected to be unable to continue paying their debts, PKPU requests can also come from creditors who have calculated that the debtor will no longer be able to pay the debt. -the debt. The formulation of the problem in this research is how is the juridical review of the bankrupt company, how is it?Juridical Review of Refusal of Peace in Bankrupt Companies, and howLegal Consequences of Refusal of Reconciliation in Cases of Bankrupt Companies. The purpose of this study is to analyze the jurid

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Chekanova, I. Yu. "FEATURES OF BANKRUPTCY OF THE DEBTOR ORGANIZATION: RULES OF PROCEDURE." Business Strategies, no. 1 (February 7, 2018): 12–15. http://dx.doi.org/10.17747/2311-7184-2018-1-12-15.

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Nowadays companies go bankrupt rather frequently, which is mainly due to difficult business environment. It is necessary to find a reasonable approach to the problem of corporate bankruptcy that should result in companies reducing their risks and saving their money. This article touches upon the major reasons for involuntary bankruptcy, the process of filing a bankruptcy petition, and some possible consequences of becoming bankrupt for the company.

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Rozprawy doktorskie na temat "Bankrupt companies"

Charraud, Jocelyn, and Saez Adrian Garcia. "Bankruptcy prediction models on Swedish companies." Thesis, Umeå universitet, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-185143.

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Bankruptcies have been a sensitive topic all around the world for over 50 years. From their research, the authors have found that only a few bankruptcy studies have been conducted in Sweden and even less on the topic of bankruptcy prediction models. This thesis investigates the performance of the Altman, Ohlson and Zmijewski bankruptcy prediction models. This research investigates all Swedish companies during the years 2017 and 2018. This study has the intention to shed light on some of the most famous bankruptcy prediction models. It is interesting to explore the predictive abilities and usa

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Ercolin, Carlos Alberto. "Fatores financeiros determinantes da mortalidade de micro e pequenas empresas." Universidade de São Paulo, 2007. http://www.teses.usp.br/teses/disponiveis/12/12139/tde-30012008-094646/.

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O principal objetivo desta dissertação foi identificar, descrever, analisar e classificar os principais fatores financeiros relacionados à morte prematura de micros e pequenas empresas na cidade de São Paulo. Partindo de alguns estudos já existentes foi elaborado um questionário que foi aplicado a vários executivos financeiros e, a partir daí, confrontaram-se seus pontos de vista com o que preconiza a teoria de finanças. As conclusões levantadas estão alinhadas com outros estudos que não apontam apenas uma, más várias, as causas que levam um empreendimento de micro ou pequeno porte à morte pre

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ROCHA, PEDRO ANTONIO CYRNE DA. "PUBLIC COMPANIES BANKRUPTCY PREDICTION IN BRAZIL WITH LOGISTIC REGRESSION." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2017. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=30720@1.

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PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR PROGRAMA DE SUPORTE À PÓS-GRADUAÇÃO DE INSTS. DE ENSINO Desde a década de 1930, a tentativa de previsão de falência de empresas chama a atenção dos acadêmicos, e diversas técnicas já foram empregadas para o desenvolvimento de modelos preditivos compostos por variáveis financeiras, tais como análise estatística, modelos teóricos e de inteligência artificial. Posto isso, o referido estudo compõe um modelo de regressão logística para a previsão de falência de empresas de capita

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Diallo, Yaya. "Les sûretés et garanties réelles dans les procédures collectives : étude comparée du droit français et du droit OHODA." Thesis, Paris 1, 2016. http://www.theses.fr/2016PA01D002.

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En France comme dans l'espace OHADA, le droit des procédures collectives renvoie aux procédures judiciaires spéciales et dérogatoires par rapport au droit commun réservées au traitement curatif des difficultés des entreprises. Essentiel à la protection du crédit et à la bonne santé du tissu économique dont il garantit l'assainissement, ce droit d'ordre public est constitué d'un corps de règles impératives destinées à s'appliquer, dès le jugement d'ouverture d'une procédure collective, aussi bien à l'entreprise débitrice qu'à ses créanciers. Conformément aux objectifs poursuivis, les droits et

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Nassimbwa, Justine, and Yuchi Tian. "Bankruptcy effect on business competitors. : Empirical study of US companies." Thesis, Umeå universitet, Företagsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-76240.

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Bankruptcy is a negative event that not only affects the company in question but all stakeholders of society. Our research will focus on one stakeholder group, business competitors. How are competitors affected by bankruptcy announcements? Past research has tried to answer this question in different ways. Some compared two industries with different characteristics while others worked with multiple industries. Past researchers suggested and tested three independent variables that they thought influence the returns of competitors in the face of bankruptcy: leverage, size and industry concentrati

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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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Egilmezer, Sapci Nurdan. "Organizational Decline And Bankruptcy Prediction Model For The Turkish Construction Companies." Master's thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/12608529/index.pdf.

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Within the scope of this research, factors contributing to the decline and failure in the Turkish construction industry are examined by the aid of a broad literature review and a Delphi Study conducted among respondents selected to be civil engineers who experienced organizational decline and/or bankruptcy throughout their professional lives. Based on the identified factors and their interrelations, Analytical Network Process (ANP) is used to quantify the relative importance of these factors on &ldquo Organizational Decline/Bankruptcy of the Turkish Construction Companies&rdquo . Organiz

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PEREIRA, ORLANDO MANSUR T. S. A. "THE E SCORE MODEL FOR THE PREDICTION OF BANKRUPTCY OF INTERNET COMPANIES." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2002. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=3327@1.

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O objetivo desta pesquisa é propor um modelo estatístico que possa estimar a probabilidade de ocorrência de falências ou concordatas em empresas de Internet. Após as recentes e drásticas perdas de capital em investimentos nas empresas desta nova indústria, instituições financeiras, pessoas físicas e todos os investidores desejam ter o conhecimento da real situação financeira das empresas denominadas pontocom. Esta pesquisa selecionou empresas norte-americanas que pediram falência ou concordata nas Cortes Norte-Americanas de Falências,entre 1999 e 2001, e empresas que não o fizeram, por amostr

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Chitnomrath, Thanida. "Determinants of post-bankruptcy performance : an empirical study of insolvent companies in Thailand." Thesis, Curtin University, 2007. http://hdl.handle.net/20.500.11937/958.

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This thesis examines determinants of post-bankruptcy performance by using insolvent firms under the bankruptcy reorganization proceedings of the 1940 Thai Bankruptcy Act. The purpose of the study is to investigate whether the key governance mechanisms within this process are factors which may contribute to successful reorganization and how they affect a firm's post-bankruptcy performance. Using agency theory, a sample of III filing companies whose plans have been confirmed by the Thai Central Bankruptcy Court during 1999-2002 provide the data of the study. Descriptive statistics and ordinary l

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Chitnomrath, Thanida. "Determinants of post-bankruptcy performance : an empirical study of insolvent companies in Thailand." Curtin University of Technology, Graduate School of Business, 2007. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=21411.

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Książki na temat "Bankrupt companies"

Kallen, Laurence H. How to get rich buying bankrupt companies. Carol Communications, 1989.

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1941-, Altman Edward I., Bowman Thomas A, and Association for Investment Management and Research., eds. Analyzing investment opportunities in distressed and bankrupt companies: September 11, 1990, Chicago, Illinois. The Association, 1991.

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Paton, Rob. Analysis of the experiences of and problems encountered by worker take-overs of companies in difficulty or bankrupt: Main report. Office for Official Publications of the European Communities, 1987.

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Paton, Rob. Programme for research and actions on the development of the labour market: Analysis of the experiences of and problems encountered by worker take-overs of companies in difficulty or bankrupt : main report. Office for Official Publications of the European Communities, 1987.

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Denton, David H. Liquidation of companies. Leo Cussen Institute, 1988.

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American Bar Association. Committee on Taxation., ed. Bankruptcy and the limited liability entity: What are the issues and how will they be resolved? American Bar Association, Section of Business Law, 1996.

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Anand, Anita. Bankruptcy law: Bankruptcy and Insolvency Act (including Companies' Creditors Arrangement Act). Faculty of Law, University of Toronto, 2007.

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Anand, Anita. Bankruptcy law: Bankruptcy and Insolvency Act (including Companies' Creditors Arrangement Act). Faculty of Law, University of Toronto, 2007.

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Duggan, Tony. Bankruptcy and Insolvency Act: Including Companies' Creditors Arrangement Act : Bankruptcy law. 2nd ed. Faculty of Law, University of Toronto, 2006.

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Institute, Pennsylvania Bar, ed. Advising troubled companies. Pennsylvania Bar Institute, 2009.

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Części książek na temat "Bankrupt companies"

Rudie Harrigan, Kathryn. "Why Must Companies Reorganize, and Why Do They Wait So Long?" In Turnaround Management and Bankruptcy. Routledge, 2017. http://dx.doi.org/10.4324/9781315738116-9.

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Wojahn, Oliver W., and Jan F. Wilms. "The Bankruptcy Risk of Equity Crowdfunded Companies in Germany." In Eurasian Business Perspectives. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-35051-2_21.

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Koval, Maria, Neli Abramishvili, Nadezhda Lvova, and Alexander Kazansky. "Building a Bankruptcy Prediction Model for Chemical Industry Companies." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-87532-8_29.

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Putra, M. N. F., and Z. A. Husodo. "Bankruptcy prediction model for public companies in Indonesia stock exchange." In Sustainable Future: Trends, Strategies and Development. Routledge, 2022. http://dx.doi.org/10.1201/9781003335832-68.

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Meisa Putri, Amanda, and Imo Gandakusuma. "Bankruptcy prediction of manufacturing companies using Altman and Ohlson model." In Business Innovation and Development in Emerging Economies. CRC Press, 2019. http://dx.doi.org/10.1201/9780429433382-10.

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Svabova, Lucia, and Tomas Kliestik. "Analysis of Predictors in Bankruptcy Prediction Models for Slovak Companies." In Economy, Finance and Business in Southeastern and Central Europe. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-70377-0_23.

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Chen, Ning, Bernardete Ribeiro, and Armando S. Vieira. "Bankruptcy Trajectory Analysis on French Companies Using Self-Organizing Map." In Progress in Artificial Intelligence. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24769-9_30.

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Umaña-Hermosilla, Benito, Hanns de la Fuente-Mella, Claudio Elórtegui-Gómez, Jorge Ferrada-Rodríguez, and Mauricio Arce-Rojas. "Analysis of a Bankruptcy Prediction Model for Companies in Chile." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80624-8_11.

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Vuojela, Juho, and Alberto Rascon. "Too Big to Fail Applied to Non-Financial Companies." In Resilienz durch Organisationsentwicklung. Springer Fachmedien Wiesbaden, 2022. http://dx.doi.org/10.1007/978-3-658-36022-1_13.

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AbstractThis chapter develops a methodology to evaluate if a non-financial firm is “too big to fail” moreover we tested and applied the approach to 3 large European firms. The methodology consists in using the principles of the special regulation of financial firms in the USA plus a brief qualitative analysis. According to our analysis: Volkswagen Group is structurally “too big to fail” as many employments in Germany (and the world) depend on the continuity of its operations, Royal Dutch Shell is indirectly “Too big to fail” as its bankruptcy could collapse the London Stock Exchange, finally w

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Wyrobek, Joanna, and Krzysztof Kluza. "Efficiency of Random Decision Forest Technique in Polish Companies’ Bankruptcy Prediction." In Artificial Intelligence and Soft Computing. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91262-2_41.

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Streszczenia konferencji na temat "Bankrupt companies"

Ramalho, Edimar, Mara Madaleno, Jorge Mota, and Margarita Robaina. "Energy Transition and Financial Distress: Assessing Bankruptcy Risks in Fossil Fuel Companies." In 2025 21st International Conference on the European Energy Market (EEM). IEEE, 2025. https://doi.org/10.1109/eem64765.2025.11050352.

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Polovinkina, A. A., and V. S. Istomin. "BANKRUPTCY OF ORGANIZATIONS: THREAT TO ECONOMIC SECURITY IN THE REGION." In CONTEMPORARY ECONOMIC PROBLEMS OF RUSSIA AND CHINA. Amur State University, 2021. http://dx.doi.org/10.22250/medprh.53.

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The article analyzes threats to economic security under the influence of changes in the status of organizations «on declaring companies bankrupt». The main economic measures to support the state in a crisis situation, as well as subsequent threats of companies withdrawing from support programs, are identified.

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Ghimp, Cristina. "The vital importance of digital marketing for companies from all over the world." In Simpozion stiintific al tinerilor cercetatori, editia 20. Academy of Economic Studies of Moldova, 2023. http://dx.doi.org/10.53486/9789975359030.40.

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Digital marketing is becoming more and more used and appreciated by companies around the world. This reality has been enunciated by many marketers since the advent of WEB 2.0 in 2004. However, it has become a necessity since 2019, when the whole world faced the pandemic. More and more companies have realized that it is imminent to go online, so as not to go bankrupt and to attract new customers. The different degree of training tells us that there are still many companies that are facing this difficult transition, but it is not impossible. Many specialists created useful and convenient opportu

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Islam, Md Monirul. "The Impact of COVID-19 on Business Performance of Logistics Firms in Cambodia." In International Research Symposium on How did a Health Crisis Translate to an Economic Crisis? The Impact of the COVID-19 Pandemic. ALLIED PUBLISHERS PVT. LTD., 2021. http://dx.doi.org/10.62458/camed/oar/symposium/2021/53-65.

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INTRODUCTION Cambodia’s exports of goods and services outpaced the country’s economic growth and outperformed global export growth over the past years. Exports of goods and services increased dramatically during the past years, from about US$4.2 billion in 2009 to US$14.7 billion in 2019 (O’Neill, 2021). The solid export growth resulted in improved livelihoods for Cambodian households. Trade is a medium for productivity led growth in a small economy like Cambodia. It gives companies access to wider markets and boosts foreign direct investment. But the COVID-19 pandemic had badly affected the f

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Muntean, Neli, Olena Kolisnyk, and Irina Fusaru. "Usability of Z-score for predicting bankruptcy risk: a case study for agrarian sector entities in Moldova." In The 6th Economic International Conference "Competitiveness and sustainable development". Technical University of Moldova, 2024. https://doi.org/10.52326/csd2024.52.

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Bankruptcy prediction plays a crucial role, not only for individual companies, but also for the national economy. This helps companies identify financial problems before their situation becomes critical, allowing them to take corrective measures in time. In addition, the development of risk management strategies and the implementation of bankruptcy prevention policies become more effective. A popular method of predicting bankruptcy is the Z-score function, which combines several financial indicators to assess a company's bankruptcy risk. This study examines the use of the Z-score as a tool for

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Sponerova, Martina. "FINANCIAL DISTRESS PREDICTION FOR MANUFACTURING AND COMMERCIAL COMPANIES." In NORDSCI Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/nordsci2021/b2/v4/18.

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"A large number of studies on bankruptcy prediction are published every year. The topic of SME failure prediction has evolved over the past decades into a relevant research area that has grown exponentially across many disciplines, including finance and management, for obvious reasons. This has been motivated by the massive toll on SMEs caused by the global crisis of 2007-2009, the recent COVID-19 crisis and the resulting need to update indicators of SME failure. Many authors during the last fifty years have examined several possibilities to predict business failure. They have studied bankrupt

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Bednárová, Juliána, and Kamila Sotáková. "Bankruptcy Prediction Models in Prešov Region of the Slovak Republic." In EDAMBA 2022: 25th International Scientific Conference for Doctoral Students and Post-Doctoral Scholars. University of Economics in Bratislava, 2023. http://dx.doi.org/10.53465/edamba.2022.9788022550420.52-63.

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The current business environment, not only in the Slovak Republic, is characterized by the very frequent existence of crises of business entities. It is no different even during the pandemic, which was characterized by various measures or restrictions affecting the smooth running of companies. If the company can adapt to the constant changes in the market and thus survive, it needs to know in which financial condition it is and what is its perspective in the market. Companies can use financial analysis, which monitors not only the company's management in the past period, but also with a view t

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Tuncay, Ahmet. "The Reasons for Financial Failure in Capital Stock Companies." In International Conference on Eurasian Economies. Eurasian Economists Association, 2011. http://dx.doi.org/10.36880/c02.00360.

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In capital stock companies, in their financial structure, failure may occur in paying balance under the situations to changings in economy markets, crisis or the situations of bad assistance of company. The failure in financial structure, insufficiency of partnership assets to afford debts, cause to decrease capital of company and breakdown of paying debts. Continuance of this situation can cause the result of corporate bankruptcy. A corporate bankruptcy effects economy of the state which contains this company, in a bad way. Under this heading, the reasons of failure in financial structure of

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Nagale, Abhay, and Varadraj Bapat. "Bankruptcy Prediction of Indian Companies Using Neural Network." In Annual International Conference on Accounting and Finance (AF 2016). Global Science & Technology Forum ( GSTF ), 2016. http://dx.doi.org/10.5176/2251-1997_af16.30.

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Sayın, Uğur. "Postponement of Bankruptcy in Capital Stock Companies and Cooperatives." In International Conference on Eurasian Economies. Eurasian Economists Association, 2011. http://dx.doi.org/10.36880/c02.00361.

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In earning capital stock company which its financail structure failed, which cannot pay debts to creditors and which become deeply involved in debt, to trade economy, partnerships, working people of company and other companies that are creditors of company have a big utility. It effects state economy directly. One of the ways of earning a company or cooperative that is deeply involved in debt, is the institution to delay debt. Bankruptcy deferment, under the surveillance of judge, providing to continue its activity of capital stock company or cooperative that is deeply involved in debt with ef

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Raporty organizacyjne na temat "Bankrupt companies"

Al Suwailem, Majed, and Malik Selemankhel. Are Bankruptcies Healthy For The Tight Oil Sector? King Abdullah Petroleum Studies and Research Center, 2021. http://dx.doi.org/10.30573/ks--2021-dp02.

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Between January 2015 and mid-2020, about 69 of the approximately 2,160 small-to-medium independent oil companies operating in the tight oil sector filed for Chapter 11 protection. These filings mostly occurred in 2016 and 2019. A lack of financial discipline and poor financial risk assessment meant that these companies were negatively impacted by the low oil prices in these years. Hence, they declared bankruptcy.

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