dc.contributor.advisor | Tichý, Tomáš | cs |
dc.contributor.author | Hu, Wenmeng | cs |
dc.date.accessioned | 2015-07-22T09:08:26Z | |
dc.date.available | 2015-07-22T09:08:26Z | |
dc.date.issued | 2015 | cs |
dc.identifier.other | OSD002 | cs |
dc.identifier.uri | http://hdl.handle.net/10084/106979 | |
dc.description | Import 22/07/2015 | cs |
dc.description.abstract | The 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.abstract | The 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.extent | 2923583 bytes | cs |
dc.format.mimetype | application/pdf | cs |
dc.language.iso | en | cs |
dc.publisher | Vysoká škola báňská - Technická univerzita Ostrava | cs |
dc.subject | bank efficiency | en |
dc.subject | banks in China&U.S.A. | en |
dc.subject | financial analysis | en |
dc.subject | data envelopment analysis | en |
dc.subject | CCR model | en |
dc.subject | SBM model | en |
dc.subject | extended SBM model | en |
dc.subject | bank efficiency | cs |
dc.subject | banks in China&U.S.A. | cs |
dc.subject | financial analysis | cs |
dc.subject | data envelopment analysis | cs |
dc.subject | CCR model | cs |
dc.subject | SBM model | cs |
dc.subject | extended SBM model | cs |
dc.title | Efficiency Analysis of Selected Banks Using DEA Models | en |
dc.title.alternative | Analýza efektivnosti vybraných bank pomocí DEA modelů | cs |
dc.type | Diplomová práce | cs |
dc.contributor.referee | Staníčková, Michaela | cs |
dc.date.accepted | 2015-05-27 | cs |
dc.thesis.degree-name | Ing. | cs |
dc.thesis.degree-level | Magisterský studijní program | cs |
dc.thesis.degree-grantor | Vysoká škola báňská - Technická univerzita Ostrava. Ekonomická fakulta | cs |
dc.description.department | 154 - Katedra financí | cs |
dc.thesis.degree-program | Hospodářská politika a správa | cs |
dc.thesis.degree-branch | Finance | cs |
dc.description.result | výborně | cs |
dc.identifier.sender | S2751 | cs |
dc.identifier.thesis | HUW0001_EKF_N6202_6202T010_01_2015 | |
dc.rights.access | openAccess | |