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Multivariate Statistical Analysis Of Chinese Bank Card Market

Posted on:2014-10-16Degree:MasterType:Thesis
Country:ChinaCandidate:J B JiangFull Text:PDF
GTID:2269330425975183Subject:Probability theory and mathematical statistics
Abstract/Summary:PDF Full Text Request
With the development of finance and information technology, now the bank card has gradually replaced cash as payment instruments in our life. The use of bank cards avoid the risk of recieving fake money.When you loss the card,you can report the loss. It is easy to carry when you need a lot of money.You can alse get reward points, and some other advantages.Merchants who accept credit card can significantly increase passenger flow and consumption.The issuing bank can obtain fee and personal customer resources. The bank who supports POS service also can obtain credit card fee and deposits from merchants. In fact,it is a "four-win" results if promoting the use of bank card. With the improving of bank card system, it alse can promot the development of social credit system,and play a catalytic role in the development of various industries.Multivariate statistics as an important part of statistics, can be extended to all sec-tors of society in the field of research. In recent years, the financial and economic fields of study, the commonly used statistical methods to quantitative analysis. The financial industry are involved in data analysis mostly contain multiple variables, the use of multi-variate statistical methods for data filtering, processing, modeling, analysis is particularly important.The analysis aims to research the competition between banks,and the relation-ship of bank card business,merchants and cardholders.We hope that the data analysis can found several special phenomenon in the market.Then using the statistical method to explain these phenomenon.The research can bring some opinions and suggestions of bank card business to commercial banks.
Keywords/Search Tags:bank card, POS, cluster analysis, multiple regression
PDF Full Text Request
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