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The Empirical Research On Driving Factors Of The Listed Commercial Banks In China Based On EVA

Posted on:2014-10-22Degree:MasterType:Thesis
Country:ChinaCandidate:J SongFull Text:PDF
GTID:2309330452962792Subject:Accounting
Abstract/Summary:PDF Full Text Request
As a bridge between savers and investors, commercial bank occupies the core status innational economic system. At present, there are16listed commercial banks in China. Thedevelopments of commercial banks are going to the marketization and cooperatization. Itremoves the domestic trade association for the healthy and stable development of Chinabanking, and it also bespeaks the huge development potential.With the globalization of the financial situation, especially government canceld therestrictions on foreign banks since2006, relying on their advantages in business idea,capital scale, products and services, the foreign banks brought grim challenge andcompetition to our country banking. Since then,the financial crisis made the global economyinto a liquidity shortage and the difficulty of economic downturn. China is not immune tothese global illsIn such background, value maximization as the ultimate goal of commercial banksoperation and management, has become the consensus of shareholders and managers.The development of bank has also turned from the stage of liability and assetmanagement into a new stage of value management, which makes the purpose of bankmanagement turning from how to increase market share or profits to how to increaseshareholder value.Therefore,this article introduces EVA(Economic Value Added),which is widely usednationally, to construct the calculation formula that fit to China’s listed commercial Banks.Then calculation and analysis the EVA index;Then,on the basis of induction and summaryabout listed commercial bank value assessment method and the theory of value drivers,decompose the EVA index, finding7influence factors, concluding that asset scale, assetquality, profitability, business innovation, cost management, risk management andCorporate governance structure.Then, EVA Rate as independent variable,15indicators concluding NI/AOE and ln (TA)etc. as dependent variables for analysis of Linear Regression, using the method ifbackward and aiming at16listed commercial Banks in2005-2011data calculation andanalysis. As a result, the article puts forward the suggestions to promote the value of China’scommercial Banks...
Keywords/Search Tags:Listed commercial Banks, EVA, value driving factors, Linear regressionanalysis
PDF Full Text Request
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