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dc.contributor.advisorRippel, Milan
dc.creatorTogtokh, Enkhjargal
dc.date.accessioned2017-05-07T23:50:00Z
dc.date.available2017-05-07T23:50:00Z
dc.date.issued2012
dc.identifier.urihttp://hdl.handle.net/20.500.11956/46983
dc.description.abstractThis thesis presents credit risk measurement approaches and some empirical results of predicting firm's failure by using various financial ratios. It aims to re-examine Altman's Z-score model and build a comparable method by logistic regression, a credit scoring model technique. The small and medium sized enterprises' empirical data used in the research work is provided from a Mongolian commercial bank. We analyzed forty two firms' financial statements, including bankrupted and non-bankrupted firms, for the period of 2007-2008. At first, financial ratios of selected sample have been analyzed through Altman's Z-score model. Overall, prediction accuracy of Altman Z-score model was significantly high, 71 percent. In terms of logistic regression method, we estimated fifteen financial ratios through the model and come to conclusion that two ratios, namely cash to total asset ratio and retained earning to total asset ratio, are significant predictor for firm's bankruptcy in Mongolian SMEs. If we compare the prediction power of the two methods, model derived from logistic regression is slightly lower than in Altman Z score model. Keywords: Credit Risk measurement, bankruptcy, Altman Z score, logistic regressionen_US
dc.languageEnglishcs_CZ
dc.language.isoen_US
dc.publisherUniverzita Karlova, Fakulta sociálních vědcs_CZ
dc.titleCREDIT RISK MEASUREMENT: The case study of Mongolian Small and Medium sized firmsen_US
dc.typediplomová prácecs_CZ
dcterms.created2012
dcterms.dateAccepted2012-02-02
dc.description.departmentInstitute of Economic Studiesen_US
dc.description.departmentInstitut ekonomických studiícs_CZ
dc.description.facultyFaculty of Social Sciencesen_US
dc.description.facultyFakulta sociálních vědcs_CZ
dc.identifier.repId119772
dc.contributor.refereeTeplý, Petr
dc.identifier.aleph001430729
thesis.degree.nameMgr.
thesis.degree.levelnavazující magisterskécs_CZ
thesis.degree.disciplineEconomics and Financeen_US
thesis.degree.disciplineEkonomie a financecs_CZ
thesis.degree.programEconomicsen_US
thesis.degree.programEkonomické teoriecs_CZ
uk.faculty-name.csFakulta sociálních vědcs_CZ
uk.faculty-name.enFaculty of Social Sciencesen_US
uk.faculty-abbr.csFSVcs_CZ
uk.degree-discipline.csEkonomie a financecs_CZ
uk.degree-discipline.enEconomics and Financeen_US
uk.degree-program.csEkonomické teoriecs_CZ
uk.degree-program.enEconomicsen_US
thesis.grade.csVelmi dobřecs_CZ
thesis.grade.enVery gooden_US
uk.abstract.enThis thesis presents credit risk measurement approaches and some empirical results of predicting firm's failure by using various financial ratios. It aims to re-examine Altman's Z-score model and build a comparable method by logistic regression, a credit scoring model technique. The small and medium sized enterprises' empirical data used in the research work is provided from a Mongolian commercial bank. We analyzed forty two firms' financial statements, including bankrupted and non-bankrupted firms, for the period of 2007-2008. At first, financial ratios of selected sample have been analyzed through Altman's Z-score model. Overall, prediction accuracy of Altman Z-score model was significantly high, 71 percent. In terms of logistic regression method, we estimated fifteen financial ratios through the model and come to conclusion that two ratios, namely cash to total asset ratio and retained earning to total asset ratio, are significant predictor for firm's bankruptcy in Mongolian SMEs. If we compare the prediction power of the two methods, model derived from logistic regression is slightly lower than in Altman Z score model. Keywords: Credit Risk measurement, bankruptcy, Altman Z score, logistic regressionen_US
uk.publication.placePrahacs_CZ
uk.grantorUniverzita Karlova, Fakulta sociálních věd, Institut ekonomických studiícs_CZ


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