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Empirical Analysis Of Performance Evaluation Of China's Listed Commercial Banks Based On EVA

Posted on:2018-11-12Degree:MasterType:Thesis
Country:ChinaCandidate:Y JiangFull Text:PDF
GTID:2359330515950260Subject:Finance
Abstract/Summary:PDF Full Text Request
After experiencing the great changes in the global economic situation and the continuous development of China’s financial markets,China’s commercial banks are facing a new round of transformation and competition.With the financial dislocation,the development of Internet finance and interest rate market continued to advance,China’s commercial banks had to rely on monopoly and fixed spread to profit era is gone.How to determine the business performance of commercial banks in the new era of bank development,find a practical and relatively accurate evaluation of business performance indicators has become an urgent problem.Through the operational performance indicators to evaluate the comparison of bank operating conditions,so as to identify business problems,improve performance levels.This paper attempts to use EVA performance indicators on China’s listed commercial banks to conduct empirical analysis and comparison.This paper analyzes the basic performance of commercial banks’ performance evaluation and performance evaluation methods,and analyzes the advantages and disadvantages of different performance judgment methods and the value of EVA value based on the existing research achievements of domestic and foreign scholars.The advantages of a performance indicator based on value.By choosing the appropriate basic financial data to adjust the EVA model of China’s listed commercial banks,the EVA and its related indexes of 16 listed commercial banks in China are calculated,and the weighted least squares method(GLS)is used to carry out regression analysis to find out the EVA-driven The main factors,combined with the driving factors of EVA proposed to improve the performance of China’s commercial banks corresponding countermeasures.Based on the basic model of EVA and the particularity of banking operation,this paper adjusts three key variables,net profit,capital cost and capital cost ratio,based on the principles such as feasibility and importance,and obtains the application ofcommercial banks Of the model.The financial data collected from the audited annual financial reports disclosed by all 16 listed commercial banks in China from 2011 to2015 are the main data sources,and the authoritative data published by the management institutions such as the People’s Bank of China China’s commercial banks from 2011 to 2015,EVA and EVA rate of return REVA,and EVA,REVA and traditional performance indicators ROE were compared.The results show that the performance of state-owned commercial banks is declining,the joint-stock commercial banks are stable and the performance of urban commercial banks is steadily increasing.The rate of return of shareholders after capital cost is obviously lower than that of traditional indicators.After excluding scale factors,joint-stock commercial banks And city commercial banks have better operational performance than the five state-owned banks,which is one of the performance of joint-stock commercial banks and urban commercial banks with strong competitiveness.Then,according to the scientific and operational select the eight indicators,namely the total assets,capital adequacy ratio,fixed asset investment ratio,operating cost rate,deposit and loan ratio,non-performing loan ratio,the proportion of the top five shareholders,The per capita salary of the executives,and the selection of the data of the national commercial banks from year to year as the research samples,using the weighted least squares method to return,so as to obtain the empirical results.The results show that only the capital adequacy ratio,nonperforming loan ratio,the impact of senior per capita pay is significant.Based on the results of empirical analysis,this paper puts forward some suggestions to improve the performance of commercial banks in China.
Keywords/Search Tags:commercial banks, EVA performance, driving factors
PDF Full Text Request
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