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dc.contributor.advisorTichý, Tomášcs
dc.contributor.authorHu, Wenmengcs
dc.date.accessioned2015-07-22T09:08:26Z
dc.date.available2015-07-22T09:08:26Z
dc.date.issued2015cs
dc.identifier.otherOSD002cs
dc.identifier.urihttp://hdl.handle.net/10084/106979
dc.descriptionImport 22/07/2015cs
dc.description.abstractThe task of the paper is to estimate the efficient situation of banks by DEA model. We choose 21 banks in China and U.S.A. as the sample to study their efficiency. Firstly,we analyze the financial situation of the selected banks by introducing the macro environment and their financial ratios. Secondly, we apply the CCR model and SBM model respectively and have a comparison between them. And then, we extend SBM model to investigate the selected banks' sensitivities to each item of input and output. The last part can be regarded as the analysis of reasons why these banks are efficient or not. We choose number of employees, operating expenses and total assets as input items; new added deposits, new added loans, net operating profit and ROE as outputs to analyze banks’ performance. Chinese banks were found a better performances and efficient situations than U.S. banks both in CCR and SBM application. , while Chinese banks lacks of independence and the ability to take risks. The excesses of number of employees and shortage of ROE are main deficiencies of them. Among U.S. banks, BAC has the lowest efficient situation. Technical inefficiency is the main reason of it. The ROE problem is the main shackles to U.S. banks. The paper also provides some useful advice to each inefficient banks about improving their efficiency.en
dc.description.abstractThe task of the paper is to estimate the efficient situation of banks by DEA model. We choose 21 banks in China and U.S.A. as the sample to study their efficiency. Firstly,we analyze the financial situation of the selected banks by introducing the macro environment and their financial ratios. Secondly, we apply the CCR model and SBM model respectively and have a comparison between them. And then, we extend SBM model to investigate the selected banks' sensitivities to each item of input and output. The last part can be regarded as the analysis of reasons why these banks are efficient or not. We choose number of employees, operating expenses and total assets as input items; new added deposits, new added loans, net operating profit and ROE as outputs to analyze banks’ performance. Chinese banks were found a better performances and efficient situations than U.S. banks both in CCR and SBM application. , while Chinese banks lacks of independence and the ability to take risks. The excesses of number of employees and shortage of ROE are main deficiencies of them. Among U.S. banks, BAC has the lowest efficient situation. Technical inefficiency is the main reason of it. The ROE problem is the main shackles to U.S. banks. The paper also provides some useful advice to each inefficient banks about improving their efficiency.cs
dc.format.extent2923583 bytescs
dc.format.mimetypeapplication/pdfcs
dc.language.isoencs
dc.publisherVysoká škola báňská - Technická univerzita Ostravacs
dc.subjectbank efficiencyen
dc.subjectbanks in China&U.S.A.en
dc.subjectfinancial analysisen
dc.subjectdata envelopment analysisen
dc.subjectCCR modelen
dc.subjectSBM modelen
dc.subjectextended SBM modelen
dc.subjectbank efficiencycs
dc.subjectbanks in China&U.S.A.cs
dc.subjectfinancial analysiscs
dc.subjectdata envelopment analysiscs
dc.subjectCCR modelcs
dc.subjectSBM modelcs
dc.subjectextended SBM modelcs
dc.titleEfficiency Analysis of Selected Banks Using DEA Modelsen
dc.title.alternativeAnalýza efektivnosti vybraných bank pomocí DEA modelůcs
dc.typeDiplomová prácecs
dc.contributor.refereeStaníčková, Michaelacs
dc.date.accepted2015-05-27cs
dc.thesis.degree-nameIng.cs
dc.thesis.degree-levelMagisterský studijní programcs
dc.thesis.degree-grantorVysoká škola báňská - Technická univerzita Ostrava. Ekonomická fakultacs
dc.description.department154 - Katedra financícs
dc.thesis.degree-programHospodářská politika a správacs
dc.thesis.degree-branchFinancecs
dc.description.resultvýborněcs
dc.identifier.senderS2751cs
dc.identifier.thesisHUW0001_EKF_N6202_6202T010_01_2015
dc.rights.accessopenAccess


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