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dc.contributor.advisorValecký, Jiří
dc.contributor.authorZhang, Yu
dc.date.accessioned2016-11-01T13:24:51Z
dc.date.available2016-11-01T13:24:51Z
dc.date.issued2016
dc.identifier.otherOSD002cs
dc.identifier.urihttp://hdl.handle.net/10084/113763
dc.descriptionImport 02/11/2016cs
dc.description.abstractThe 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.en
dc.description.abstractThe 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 financialcs
dc.format.extent2591328 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.subjectClassification table, default probability, logistic regression, logit, ROC curve, scoring model, financial indicatorsen
dc.subjectClassification table, default probability, logistic regression, logit, ROC curve, scoring model, financial indicatorscs
dc.titleForecasting Firm's Bankruptcy by Scoring Modelen
dc.title.alternativePredikce úpadku firem pomocí scoringového modelucs
dc.typeDiplomová prácecs
dc.contributor.refereeNovotný, Josef
dc.date.accepted2016-05-24
dc.thesis.degree-nameIng.
dc.thesis.degree-levelMagisterský studijní programcs
dc.thesis.degree-grantorVysoká škola báňská - Technická univerzita Ostrava. Ekonomická fakultacs
dc.description.department154 - Katedra financí
dc.thesis.degree-programHospodářská politika a správacs
dc.thesis.degree-branchFinancecs
dc.description.resultdobřecs
dc.identifier.senderS2751cs
dc.identifier.thesisZHA0011_EKF_N6202_6202T010_01_2016
dc.rights.accessopenAccess


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