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Mattia Pellegrino, Gianfranco Lombardo, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos and Agostino Poggi
With the recent advances in machine learning (ML), several models have been successfully applied to financial and accounting data to predict the likelihood of companies? bankruptcy. However, time series have received little attention in the literature, w...
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Stanislav Letkovský, Sylvia Jencová and Petra Va?anicová
Predicting bankruptcy within selected industries is crucial because of the potential ripple effects and unique characteristics of those industries. It serves as a risk management tool, guiding various stakeholders in making decisions. While artificial in...
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Tobias Nießner, Stefan Nießner and Matthias Schumann
How can useful information extracted from unstructured data be used to contribute to a better prediction of corporate failure or bankruptcy? In this research, we examine a data set of 2,163,147 financial statements of German companies that are triple cla...
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Gianfranco Lombardo, Mattia Pellegrino, George Adosoglou, Stefano Cagnoni, Panos M. Pardalos and Agostino Poggi
Predicting corporate bankruptcy is one of the fundamental tasks in credit risk assessment. In particular, since the 2007/2008 financial crisis, it has become a priority for most financial institutions, practitioners, and academics. The recent advancement...
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Veronica Rasmi Febrianty Siahaan, Ari Budi Kristanto
Pág. 1348 - 1361
The COVID-19 pandemic has an impact on society, companies and countries. This causes a decrease in the market?s purchasing power, and brings risk to the businesses? sustainability. The purposes of this research are to examine whether the impact COVID-19 ...
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Ronel J. Cassim,Matthys J. Swanepoel
AbstractOrientation: The effective and timely bankruptcy prediction is crucial to the survival of companies. In order to attain a desired result an effective bankruptcy prediction tool needs to be applied within a South African context.Research purpose: ...
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Arnis Stasko,Ilze Birzniece,Girts Kebers
Pág. 45 - 59
This article addresses the financial performance prediction for Latvian companies. It is of critical importance to be able to provide timely warnings to management, investors, employees, stakeholders and other interested parties who wish to reduce their ...
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Peter Forbrig,Kurt Sandkuhl
Pág. I - II
The 27th issue of CSIMQ presents four articles that cover a wide range of research topics. The articles are extended versions of previous publications. The topics of this issue start with the discussion of sound workflow specifications. It suggests contr...
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Angeliki Papana and Anastasia Spyridou
Financial bankruptcy prediction is an essential issue in emerging economies taking into consideration the economic upheaval that can be caused by business failures. The research on bankruptcy prediction is of the utmost importance as it aims to build sta...
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Desi Utami,Hisky Ryan Kawulur
Pág. 8 - 15
This study aims to determine the prediction of bankruptcy at PT BPR Primaesa Sejahtera Manado using the Altman Z-Score Modification model with the formula Z = 6.56 X1 + 3.26 X2 + 6.72 X3 + 1.05 X4, with a benchmark value of Z-Score grouped into three cat...
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