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Research On The Investment Efficiency And Influencing Factors Of Large And Medium Sized Listed Banks In China

Posted on:2019-03-28Degree:MasterType:Thesis
Country:ChinaCandidate:L H ZhangFull Text:PDF
GTID:2429330545968139Subject:Quantitative Economics
Abstract/Summary:PDF Full Text Request
With the continuous deepening of global economic integration and the gradual improvement of China's market economy,some banks in China prepare for listing and the capital market has become more open.If China's banking industry wants to win the contest with foreign banks in the capital market in this increasingly competitive environment in the world,it is necessary to gradually improve its operating performance while winning more capital.The fundamental problem is to improve bank investment efficiency.Based on the market environment of our country and the characteristics of the banking industry,this paper studies the investment efficiency of the listed banks in China,including the small,medium and large-sized banks.This paper establishes the relevant index system using the PCA-DEA model and quantitatively analyzes the existing problems about the investment efficiency of China's small,medium and large-sized listed banks from the dynamic and the static angles.This paper analyzes the investment efficiency of 39 listed banks in China from 2014 to 2016.At the same time,on the basis of the investment efficiency of listed banks,this paper studies the influencing factors that affect the investment efficiency of listed banks in our country.This paper builds mixed section model,fixed effect model and random effect model.We compare them to see the impact of the factors on the investment efficiency under different models.The results of Hausman test,F test and LR test show that the fixed effect model is the best,but all the influence factors in the fixed model are not significant.It may be due to the endogeneity variable or the small amount of data.
Keywords/Search Tags:PCA-DEA, Listed banks, Investment Efficiency, Panel Data Model
PDF Full Text Request
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