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Research On Listed Companies' Credit Risk Measurement Of Commercial Banks

Posted on:2012-05-22Degree:MasterType:Thesis
Country:ChinaCandidate:Y H YangFull Text:PDF
GTID:2189330335978240Subject:Technical Economics and Management
Abstract/Summary:PDF Full Text Request
Commercial banks are the core of the modern financial system just like thebridge in our national economy. Therefore, the sound and sustainable operation ofcommercial banks is the pre-requisite and basis for the economic development andsocial stability. As the liberalization of the Chinese financial market has just beeninitiated and loans still takes up a large part of the total assets of commercial banks,credit risk is the chief risk that commercial banks face. We chose the listed companiesfor study for that they are much more powerful and influential. Huge amount ofnon-performing loans and frequent financial crisis all stem from credit risk. Therefore,this thesis aiming at a study about the concepts, system and technical development ofcredit risk management of commercial banks in China. The thesis is not only of greatpractical significance but also forecasting.The author reviewed relevant theory,analyzed almost all kinds of credit riskmeasurement methods. On this basis, we finally selected Logistic model to measurethe credit risk of listed companies. During this period,I analyzed the advantages anddisadvantages of each method,compared their applicability in our country,obtainedthat Logistic model is more in line with our financial market. What's more, OsculationValue method is used to order the risk level, combined with Logistic riskmeasurement model can improve the utilization of bank funds and make the measuresystem more integrity and completely. The author selected 45 listed companies afteranalysis of financial data and related operations,using SPSS for empirical studies ofcompanies'credit risk level, finally to set up the company credit risk assessmentmodel. Combine Logistic measurement model with Osculation Value method canmake the whole credit risk measurement more effective.
Keywords/Search Tags:Commercial Banks, Credit Risk Measurement, Logistic Regression, Osculation Value method
PDF Full Text Request
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