臺灣博碩士論文加值系統

For many companies, becoming a Band Holding Company (BHC) subject has significant legal and economic consequences, particularly with respect to their ability to conduct non-banking and non-financial activities. The holding company can assume the debt of shareholders on a tax free basis, borrow money, acquire other non-banks and bank entities more easily, and issue stock with greater regulatory ease. The main purpose of this study is to investigate the change in efficiency productivity of BHCs in US using Data Envelopment Analysis (DEA) model to see the efficient of BHCs system and the change during this period. To conduct the valid and reliable evaluation of process, this research will use the slacks based measure of super efficiency (super SBM) and Malmquist Index (MI) to handle the slacks, find out best performer, analyzed the inter-temporal efficiency change, which decomposed into catch-up and frontier-shift effects and find influential factors in selecting BHCs criteria. Besides, this research also knows the differences between two model of DEA: Malmquist nonradial and Malmquist radial. And then, one model of Malmquist productivity index (MPI) would be chosen to point out the performance of these companies in recent years. The selected these companies base on the top BHCs which made by Federal Financial Institutions Examination Council. By selecting performance factors of company, this study used five years annual report of each company from their individual website. Based on Super SBM model and MI can achieve proper score and find out the most efficient company. The results show the most BHCs have higher efficiency and contribute more effort to improve technical change during 2010-2014. The performance of DMU4 (wells Fargo & company), DMU 5 (Goldman sacks group, inc.), DMU 7 (Morgan Stanley), DMU 8 (bank of New York Melon Corporation), DMU 11(capital one financial corporation) and DMU 15(American express company) are the best companies and relatively stable. The contribution of this study gives a vision about latest economic of the word and to help figure out the way for economic activities. Moreover, a meaningful reference is provided to help those banks holding companies improve their operating efficiency. Through this thesis, we not only reflect the actual situation of U.S BHC system, but also propose a new to evaluate the productivity, efficiency change of bank holding industry.

CONTENTS
ABSTRACT II
CHAPTER 1: INTRODUCTION 1
1.1 Research background and motivation 1
1.1.1 An overview of U.S Bank Holding Company 1
1.1.2 Motivations 6
1.2 Research purpose and objective 6
1.3 Research process 7
CHAPTER 2: LITERATURE REVIEW 9
2.1 The measure of productive efficiency. 9
2.2 Introduce DEA model 10
2.3 Strengths and Limitations of DEA 10
2.4 Data envelopment Analysis 10
2.4.1 CCR model 10
2.4.2 BCC Model 12
2.4.3 Super slacks based model “super-SBM”. 14
2.4.4 Malmquist productivity index (MPI) 14
2.5 Related researches 15
CHAPTER 3: RESEARCH METHODOLOGY 18
3.1 Super efficiency SBM model 18
3.2 Malmquist productivity index (MPI) 20
3.2.1 Cross-period efficiency analysis – testing super SBM based on Malmquist index 20
3.2.2 Non-Oriented SBM 21
3.2.3 Non-Oriented Super SBM 21
3. 3 Research Procedure 21
CHAPTER 4: RESULT AND ANALYSIS 25
4.1. Collect data of bank holding companies in USA 25
4.2 Input and output factors selection 26
4.3. Performance analysis for the 2010 to 2014 period 33
4.3.1. Pearson correlation 33
4.3.2. Performance rankings- Super SBM 39
4.3.3. Performance Efficiency Evaluation- Malmquist Radial versus Malmquist non-radial 40
4.4. Malmquist Nonradial analysis 43
4.4.1 Components of the Malmquist productivity index: (1) efficiency change 43
4.4.2 Components of the Malmquist productivity index: (2) technical change 45
4.4.3. Productivity changes: the Malmquist productivity index and its decomposition 47
CHAPTER 5: CONCLUSION AND FUTURE PROSPECTS 50
5.1 Research Conclusions 50
5.2 Future prospects 51
REFERENCES: 52

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