| Summary: | 碩士 === 國立成功大學 === 經濟學系 === 104 === With the financial liberalization and the development of financial innovations, banking has become the perfect highly competitive industry. Banks have developed new financial commodities which incorporate functions that are not limited to simply deposits or loans. Faced with such a highly competitive environment, the more efficient financial industries are, the more profit they will earn. Therefore, bank management efficiency analysis has become more and more important in recent decades. The banking industry is very susceptible to environmental changes which may cause comprehensive influences towards banks' outputs. The effect of this is called the common shocks and should be taken into account while undergoing the analysis of banking efficiency. There are two kinds of analysis performed on the impact of common shocks: the common random shock, and the common negative shock. Regarding the literature of common shocks in different settings and conceptions, common shocks are added into 4 components based on the stochastic frontier model (Colombi, 2010), and then divided it into random common shock and negative common shock, which constructs 6 component stochastic frontier model. 6 component stochastic frontier model and translog cost function are used in research to analyze balanced panel data covering between 2005 and 2014, inclusive of 320 banks in the U.S. The researcher separates unobserved shocks in this thesis to avoid correlation between shocks and explanatory variables, which would make the results biased. results biased. In addition, it has revealed that there are random common shocks and negative common shocks in the banking industry of the United States. It is proved that the researcher's model is better according to empirical results.
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