DocumentCode :
3721467
Title :
Analysis on information value of big data in Internet finance
Author :
Yong Gui Fu;Jian Ming Zhu;Ning Zhang
Author_Institution :
School of Information, Central University of Finance and Economics, Beijing, China
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
1
Lastpage :
6
Abstract :
Internet finance is an emerging area which combines traditional finance industry and Internet spirit. In this paper we have analyzed the positive information value of big data in Internet finance business activities, such as the long tail user management, risk supervision, the third party payment, micro credit, crowd funding, online manage money matters, business recommendation, the transaction subject authentication etc, and the negative information value that big data can bring to Internet finance. In the part of empirical analysis, we make the lenders and the borrowers of micro credit business as an example, to construct the incomplete information static game model, for proving big data have the information value in Internet finance business activities, and illustrate the information value of big data by instance data.
Keywords :
"Finance","Internet","Big data","Industries","Authentication","Indexes"
Publisher :
ieee
Conference_Titel :
Logistics, Informatics and Service Sciences (LISS), 2015 International Conference on
Type :
conf
DOI :
10.1109/LISS.2015.7369748
Filename :
7369748
Link To Document :
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