Analysis Of The Personal Credit Evaluation Based On The Big Data Credit

Credit is the cornerstone of the market transaction,and the credit system is the core of improving financial ecological environment and constructing the social credit system,is the foundation of social economy stable operation,is the important guarantee of the realization of government integrity,business integrity,justice and public trust.China's credit system has gone through more than 20 years of development,and with the introduction of the regulation on the administration of the credit industry,big data rapid rising and breakthrough development,the growth of the number of market credit mechanism,credit environment in our country is undergoing tremendous changes.How to absorb the experience of foreign mature individual credit system and combine with the situation of our country to promote the deepening development of China's personal credit system,is important to reduce transaction costs and improve market credit environment,establish a sound market economic order,maintain economic and financial stability has important significance.Therefore,in this paper the personal credit of our country is studied based on the background of big data.First of all,on the basis of sorting out and studying related literatures at home and abroad,the theory of asymmetric information,the theory of limited rationality,Logit model and Bayesian discriminant method are expounded in this paper,which laying the theoretical foundation.Second,through the analysis and comparison of development experience of personal credit system in developed countries,the direction of the development of personal credit is sought.Then,taken the personal credit system of People's Bank of China Credit Center,operation mode of American FICO score and the United States Zesita Zest Finance Financial Services Company as an example,comparing in horizontal and vertical dimensions and analysis of the challenges and opportunities of big data personal credit encountered in the development of big data personal credit are done.Finally,according to the problems found in the comparison,countermeasures and suggestions for the establishment of a sound personal credit are put forward.By the study,it can be found that big data personal credit extended data analysis dimension,expand the scope of the main information,enrich the credit application,and inject new power for the credit industry.For the construction of personal credit system with characteristics of orderly competition,differences development,and complement each other,China should make full use of the innovation in the field of big data,strengthen the credit legal system construction and supervision;seek a balance in the personal credit information disclosure and privacy protection;introduce the market competition and differences and cultivate credit market,to establish and improve the personal credit with help of big data in china in full range and multi levels.