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Grey Clustering Evaluation Of The Operating Performance For Financial Listed Companies

Posted on:2019-09-04Degree:MasterType:Thesis
Country:ChinaCandidate:Y Y JieFull Text:PDF
GTID:2429330548486352Subject:Business management
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Financial companies are the main participants in the financial market and an important tool for the government to regulate the economy.With the gradual deepening of the openness for the Chinese market and the continuous advancement of information technology,the competition between financial companies is becoming more and more serious,and the business problems are becoming more prominent.Because the listed companies in financial companies are relatively standardized in their operations and management,they have certain normativeness and industry representativeness.Therefore,this study selected financial listed companies as evaluation objects.The scientific and rational performance evaluation of financial listed companies not only helps financial listed companies to find their own problems in a timely manner,improve business conditions,but also help us understand the overall development of China's financial industry.It is of great significance to promoting the healthy development of financial companies in China.In the current research on the business performance evaluation of financial companies,the choice of evaluation indicators is mostly accounting profit,and the evaluation methods of business performance are relatively single.Grey clustering assessment method can evaluate the evaluation objects comprehensively.However,it is rarely used in the evaluation of financial companies' operating performance,and the traditional gray clustering evaluation method has the problem that the determination of index weights is more subjective.Therefore,on the basis of summarizing the existing studies,combining the operating characteristics of different types for financial listed companies.Taking into consideration the profitability,operational capability,risk management capability,growth and development capabilities of financial listed companies.The performance evaluation index system with the characteristics of banking listing business and the evaluation index system of business performance with the characteristics of securities listed companies were constructed respectively.In terms of evaluation methods,using the idea of information entropy,combining subjective weights and objective rights to determine the comprehensive weight of the evaluation indicators,and then combining the improved integrated weights with the grey integrated clustering method.Overcome the problem that the index weights in thegray integrated clustering method are too subjective.In this study,the improved grey integrated clustering method was introduced into the management performance evaluation of the listed financial companies,and the grey clustering model of the performance evaluation for financial listed companies were constructed.The control variable method and comparative static analysis method are used to evaluate the performance of banking listed companies and listed securities companies.The results show that in recent years,the operating performance of China's listed banks has been relatively stable,the overall fluctuations have been relatively small.However,the overall operating performance has been declining.There are problems such as unclear market positioning,unreasonable business structure and other problems in the management of banking listed companies.The changes in the overall operating performance of listed securities companies are volatile.The business performance is more affected by the external environment.There are problems such as the lack of business innovation and risk management capabilities in the company's management.In the end,this study focuses on the performance of financial listed companies in China,and combines specific analysis of the reasons.Banking listed companies and listed securities companies were proposed to define the market position,adjust the business structure,strengthen internal controls,improve product service innovation capabilities and the company's risk management capabilities.
Keywords/Search Tags:Financial listed companies, Operating performance evaluation, Entropy weight method, Grey integrated clustering method
PDF Full Text Request
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