The Construction of Big Data Credit Evaluation System in the Management of Indemnificatory Housing Access

Author(s):  
Yang Xiaomei ◽  
Jiang Songyang
2020 ◽  
Vol 3 (2) ◽  
Author(s):  
Anzhi Yang

Internet finance is a new emerging financial model, using the Internet as a platform, big data and cloud computing as the basis. Supply Chain Finance is the easiest way to enter Internet finance. The third-party companies or institutions can invest in Internet financial companies by integrating their industrial chain practices into designing the financial products to reduce credit costs and improve safety. At the same time, it will increase mobile Internet, big data and operational services. Also, it can make full use of the Internet financial platform to provide value-added services for higher and lower enterprise and consolidate the core status of the company in the industrial chain. However, an important issue that needs to be concerned during developing Supply Chain Finance is the construction of a system for credit evaluation. Due to the lack of a unified credit evaluation system, the development of the existing Supply Chain Financial companies suffers from difficulties. Many newly launched companies have difficulties operating due to the lack of a credit evaluation system. Therefore, proper and effective credit indicators are essential for the development of enterprises under Internet finance. From the micro perspective, it is conducive for enterprises to improve their credit under the constraints of indicators, and it can solve the problem of capital raising; from the macro perspective, it is conducive to the standardized development of China’s Internet finance and promotes the comprehensive economic development. Based on this, analyzing the model of Internet financial business and developing an enterprise’s credit index system is beneficial to the development of China’s Internet finance.


2014 ◽  
Vol 989-994 ◽  
pp. 5075-5077
Author(s):  
Yi Qing Lu

In this paper, a credit evaluation system based big-data is designed to change the information asymmetry between the finance institutions and enterprises, reduce the credit risk of internet financial institutions and investors, by utilizing the information and technology advantages. The research objective of this project have important theoretical and application value to the development of small and medium-sized enterprises (SME) credit evaluation system.


2021 ◽  
Author(s):  
Zhiwei Ying ◽  
Tao Yu ◽  
Yupeng Huang ◽  
Hanfu Wang ◽  
Dunnan Liu ◽  
...  

Author(s):  
Xiang Zou ◽  
Jinting Zhao ◽  
Yun Tong

This paper focuses on the construction of college students' credit evaluation system and credit risk management under the background of big data. Firstly, based on the 5C approach, this paper evaluates the personal credit of college students from 5 dimensions and 24 indicators, which finally contribute to the establishment of the credit evaluation system for college students. Then, the partial least squares method is used to build the structural equation model to evaluate the effectiveness of the credit evaluation system for college students. According to the in-depth analysis of PSL-SEM, the factors that affect the credit risk of college students are effectively evaluated, and it has contributed to the establishment and improvement of the credit system of college students. Keywords: Personal Credit, Credit Evaluation, Credit Risk, 5C Approach, PLS-SEM.


2014 ◽  
Vol 989-994 ◽  
pp. 4980-4984
Author(s):  
Xi Kun Liang ◽  
Li Min Tao

Based on the brief introduction of the credit evaluation system for the primary e-commerce platforms, the advantages and disadvantages of the existing systems were analyzed in details. Moreover, some important problems of e-commerce credit evaluation were systematically discussed, which include the uniform standard of rating scales and marks, the pattern of product rating, the evaluating model and algorithm of sellers and customers credit, etc. A complete credit evaluating model was constructed and an effective credit evaluating method was given. They can be selected as the reference for the practice of credit evaluation for e-commerce.


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