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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
Srovnání modifikací predikčních bankrotních modelů
 Bednář, Ondřej
The goal of this theses is to compare existing bankruptcy prediction models with its new modification unique for this work, which could perform better than its competition. Proposed model is logit-based and consists of the combination of variables used in Altman´s and Ohlson´s models. The final model is estimated for medium sized companies in EU which aren´t publicly traded. This model achieved prediction accuracy of 97,1% (97.4% for healthy and 91.1% for bankrupt compa-nies) on its original dataset. As expected, when verified on new dataset, the accu-racy dropped but still reaches 97.1% (99.3% for healthy and 37.7% for bankrupt companies). The model is compared with its competition (original and modified version of Ohlson´s and partially Altman´s models) and it is shown that it has higher prediction accuracy.
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Assessment of The Predictive Ability of Bankruptcy Prediction Models
 Donocik, Erik ; Strnad, Lucien (advisor) ; Sieber, Martina (referee)
This work concerns with methods used in bankruptcy forecasting. Based on paired-sample design, two firms -- failed and non-failed -- were selected for application of the ratio analysis and chosen prediction models on their accounting data. The aim is to compare the differences in failure prediction accuracy of the methods.
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