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- W1509673868 abstract "The purpose of this bachelor thesis is to estimate our own bankruptcy prediction model using logit binary data. Our choice of variables is based on Altman’s Z-score model 1968. A comparison is then done between results in Altman and our findings. We perform our estimates on 114 listed Nordic companies, where 37 of them went bankrupt during 2002-2012. We find that our estimated model can categorize defaulting and non-defaulting firms best, two years prior to the event of bankruptcy. This is done with a 76,8 per cent accuracy. Finally, we show that our model can predict bankruptcy of Nordic firms better than Altman’s Z-score model." @default.
- W1509673868 created "2016-06-24" @default.
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- W1509673868 date "2013-01-01" @default.
- W1509673868 modified "2023-09-27" @default.
- W1509673868 title "Variables Important for Bankruptcy Prediction - A Logit Binary Approach" @default.
- W1509673868 hasPublicationYear "2013" @default.
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