Credit Risk Measuring in Corporate Finance

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dc.contributor.advisorTichý, Tomáš
dc.contributor.authorFeng, Xiaoxiao
dc.contributor.refereeNovotný, Josef
dc.date.accepted2019-05-27
dc.date.accessioned2019-06-26T04:24:52Z
dc.date.available2019-06-26T04:24:52Z
dc.date.issued2019
dc.description.abstractIn China, SMEs plays an important role in economy.Manufacturing industry takes the main part of SMEs in China. Because the management system and financial system of SMEs are not complete and there is no efficient credit measuring system or complete credit information database for SMEs, banks take high risk premium which means SMEs are hard to finance by credit.Aim of this thesis is to compute an efficient credit measuring model for SMEs in manufacturing industry to help SMEs to finance. In order to compute a proper model, financial ratios of observations are standardized and analyzed with STATA. In this process, logistic regression model and probit regression models are in this thesis.en
dc.description.abstractIn China, SMEs plays an important role in economy.Manufacturing industry takes the main part of SMEs in China. Because the management system and financial system of SMEs are not complete and there is no efficient credit measuring system or complete credit information database for SMEs, banks take high risk premium which means SMEs are hard to finance by credit.Aim of this thesis is to compute an efficient credit measuring model for SMEs in manufacturing industry to help SMEs to finance. In order to compute a proper model, financial ratios of observations are standardized and analyzed with STATA. In this process, logistic regression model and probit regression models are in this thesis.cs
dc.description.department154 - Katedra financícs
dc.description.resultvelmi dobřecs
dc.format.extent2133938 bytes
dc.format.mimetypeapplication/pdf
dc.identifier.otherOSD002
dc.identifier.senderS2751
dc.identifier.thesisFEN0024_EKF_N6202_6202T010_2019
dc.identifier.urihttp://hdl.handle.net/10084/135679
dc.language.isoen
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.rights.accessopenAccess
dc.subjectSMEs in Chinaen
dc.subjectcredit risken
dc.subjectSTATAen
dc.subjectlogistic regressionen
dc.subjectprobit regressionen
dc.subjectSMEs in Chinacs
dc.subjectcredit riskcs
dc.subjectSTATAcs
dc.subjectlogistic regressioncs
dc.subjectprobit regressioncs
dc.thesis.degree-branchFinancecs
dc.thesis.degree-grantorVysoká škola báňská - Technická univerzita Ostrava. Ekonomická fakultacs
dc.thesis.degree-levelMagisterský studijní programcs
dc.thesis.degree-nameIng.
dc.thesis.degree-programHospodářská politika a správacs
dc.titleCredit Risk Measuring in Corporate Financeen
dc.title.alternativeMěření kreditního rizika ve firemních financíchcs
dc.typeDiplomová prácecs

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Vysokoškolské kvalifikační práce Ekonomické fakulty / Theses and dissertations of Faculty of Economics (EKF)