Forecasting Firm's Bankruptcy by Scoring Model
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Vysoká škola báňská - Technická univerzita Ostrava
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Abstract
The thesis is devoted to building a scoring model by using logit regression method to classify a company is a good performing or a bad one based on data of selected financial ratios of nearly 300 Czech firms.To study the reason of financial distress, find out the discipline and make prediction of firms and decrease the loss or how to avoid risk of invest on bad companies with a financial failure.
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Import 02/11/2016
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Classification table, default probability, logistic regression, logit, ROC curve, scoring model, financial indicators