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Gotowe bibliografie tematyczne / Nonbankrupt / bankrupt companies

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Artykuły w czasopismach

Gotowa bibliografia na temat „Nonbankrupt / bankrupt companies”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 19 lipca 2025

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Artykuły w czasopismach na temat "Nonbankrupt / bankrupt companies"

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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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Kanász, Róbert, Peter Gnip, Martin Zoričák, and Peter Drotár. "Bankruptcy prediction using ensemble of autoencoders optimized by genetic algorithm." PeerJ Computer Science 9 (June 8, 2023): e1257. http://dx.doi.org/10.7717/peerj-cs.1257.

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The prediction of imminent bankruptcy for a company is important to banks, government agencies, business owners, and different business stakeholders. Bankruptcy is influenced by many global and local aspects, so it can hardly be anticipated without deeper analysis and economic modeling knowledge. To make this problem even more challenging, the available bankruptcy datasets are usually imbalanced since even in times of financial crisis, bankrupt companies constitute only a fraction of all operating businesses. In this article, we propose a novel bankruptcy prediction approach based on a shallow

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Barskov, Victor V., Yulia A. Dubolazova, Anastasia A. Maykova, and Evgeny A. Konnikov. "MODELING THE PROBABILITY OF COMPANIES BANKRUPTCY IN THE CONSTRUCTION INDUSTRY." SOFT MEASUREMENTS AND COMPUTING 2, no. 75 (2024): 5–15. http://dx.doi.org/10.36871/2618-9976.2024.02.001.

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Due to the unstable economic situation, companies are facing financial difficulties, so their assessment of the likelihood of bankruptcy in the short term is more than relevant. This article reflects the main results of building a model for predicting the probability of bankruptcy of companies in the construction industry: companies, developers. The model was built using a statistical method – logistic regression. The sample of the study included operating construction companies that operate on the territory of the Russian Federation and bankrupt companies. Initially, the study sample consiste

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Knechel, W. Robert, and Ann Vanstraelen. "The Relationship between Auditor Tenure and Audit Quality Implied by Going Concern Opinions." AUDITING: A Journal of Practice & Theory 26, no. 1 (2007): 113–31. http://dx.doi.org/10.2308/aud.2007.26.1.113.

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The debate continues about the relationship between auditor tenure and audit quality in spite of extensive empirical evidence examining audit failures, earnings management, and the issuance of auditor's opinions. Most recent evidence suggests that long auditor tenure does not have a negative impact on audit quality. However, most of the available evidence has been accumulated based on publicly listed companies in the U.S. We examine the effect of auditor tenure on audit quality for private companies in Belgium, an environment where we believe auditor tenure is more likely to have a negative ef

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Rugenytė, Daiva, Vida Menciūnienė, and Lina Dagilienė. "The Importance of Bankruptcy Prediction and Methods." Business: Theory and Practice 11, no. (2) (2010): 143–50. https://doi.org/10.3846/btp.2010.16.

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The analysis based on the scientific studies of literature on bankruptcy procedures shows that companies are announced as insolvent rather too late. In order to secure successful and permanent company's activity, it is important to rationally value its financial condition constantly. Scientists tried to find integral method, which credibly allows to predict companies financial problems in time. Applying bankruptcy prediction models is one of the most simple as well as accurate ways for predicting bankruptcy of enterprises. With the help of these models, the threat of bankruptcy could be notice

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Yang, Fang, Chun Chia Amy Chang, and Lun Mo. "An Introduction to Multilevel Analyses of Text Readability in Accounting and Finance." Journal of Emerging Technologies in Accounting, June 2, 2021. http://dx.doi.org/10.2308/jeta-19-09-02-37.

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The present study introduces an assessment that includes multiple measures of language and discourse within the theoretical frameworks of comprehension in education and cognitive science. We utilize an automated textual assessment tool, Coh-Metrix, to analyze the Management Discussion and Analysis (MD&A) sections of annual reports to determine if significant differences in text readability are present between bankrupt and nonbankrupt companies. When applying Coh-Metrix indices, the MD&A sections of nonbankrupt companies appear to be easier to understand in terms of word concreteness, r

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