|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hendra Onggowijaya
Pág. 350 - 356
|
|
|
|
|
|
|
|
|
|
|
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: ...
ver más
|
|
|
|
|
|
|
|
|
|
|
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 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Enkeleda Lulaj
Pág. 26 - 50
The present study entitled "Quality and reflecting of financial position: an enterprises model through logistic regression and natural logarithm", determines the confirmatory effects of PRF analysis, to assess the position or condition of enterpris...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Jarmila Horváthová and Martina Mokri?ová
This paper focuses on business financial health evaluation with the use of selected mathematical and statistical methods. The issue of financial health assessment and prediction of business failure is a widely discussed topic across various industries in...
ver más
|
|
|
|
|
|
|
|
|
|
|
Sanja Vlaovic Begovic,Ljiljana Bonic
Pág. 127 - 139
Decision trees made by visualizing the decision-making process solve a problem that requires more successive decisions to be made. They are also used for classification and to solve problems usually addressed by regression analysis. One of the problems o...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marek Gruszczynski
The paper discusses methodological topics of bankruptcy prediction modelling?unbalanced sampling, sample bias, and unbiased predictions of bankruptcy. Bankruptcy models are typically estimated with the use of non-random samples, which creates sample choi...
ver más
|
|
|
|
|
|