Modelling bankruptcy prediction models in Slovak companies
نویسندگان
چکیده
منابع مشابه
Bankruptcy prediction for Russian companies: Application of combined classifiers
The problem of bankruptcy forecasting is one of the most actively studied nowadays, posing the task of building effective classifiers as well as the task of dealing with dataset imbalance. In this paper, we apply different combinations of modern learning algorithms (MDA, LR, CRT, and ANNs) in order to try to identify the most effective approach to bankruptcy prediction for Russian manufacturing...
متن کاملDiscrimination Abilities of Bankruptcy Prediction Models
In bankruptcy prediction, the proportion of events is very low, which is often oversampled to eliminate this bias. In this paper, we study the influence of the event rate on discrimination abilities of bankruptcy prediction models. First the statistical association and significance of public records and firmographics indicators with the bankruptcy were explored. Then the event rate was oversamp...
متن کاملBankruptcy Prediction by Generalized Additive Models
We compare several accounting based models for bankruptcy prediction. The models are developed and tested on large data sets containing annual financial statements for Norwegian limited liability firms. Out-of-sample and out-of-time validation shows that generalized additive models significantly outperform popular models like linear discriminant analysis, generalized linear models and neural ne...
متن کاملPredicting Bankruptcy of Companies using Data Mining Models and Comparing the Results with Z Altman Model
One of the issues helping make investment decisions is appropriate tools and models to evaluate financial situation 0f the organization. By means of these tools, investors can analyze financial situation of the organization and identify financial distress or an ideal condition, they become aware of making decisions to invest in appropriate conditions. The main objective of this study is to ev...
متن کاملLinear models for minimizing misclassification costs in bankruptcy prediction
This paper illustrates how a misclassification cost matrix can be incorporated into an evolutionary classification system for bankruptcy prediction. Most classification systems for predicting bankruptcy have attempted to minimize misclassifications. The minimizing misclassification approach assumes that Type I and Type II error costs for misclassifications are equal. There is evidence that thes...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SHS Web of Conferences
سال: 2017
ISSN: 2261-2424
DOI: 10.1051/shsconf/20173901013