Value of Big Data to Finance : Observations on an Internet Credit Service Company in China
Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
| Original language | English |
|---|---|
| Article number | 17 |
| Journal / Publication | Financial Innovation |
| Volume | 1 |
| Online published | 24 Dec 2015 |
| Publication status | Published - 2015 |
Link(s)
| DOI | DOI |
|---|---|
| Attachment(s) | Documents
Publisher's Copyright Statement
|
| Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-85057968483&origin=recordpage |
| Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(bc79a66d-bc09-47f8-9c23-4dff7e98827b).html |
Abstract
his paper presents a case study on 100Credit, an Internet credit service provider in China. 100Credit began as an IT company specializing in e-commerce recommendation before getting into the credit rating business. The company makes use of Big Data on multiple aspects of individuals’ online activities to infer their potential credit risk.
Methods:Based on 100Credit’s business practices, this paper summarizes four aspects related to the value of Big Data in Internet credit services.
Results:1) value from large data volume that provides access to more borrowers; 2) value from prediction correctness in reducing lenders’ operational cost; 3) value from the variety of services catering to different needs of lenders; and 4) value from information protection to sustain credit service businesses.
Conclusion:The paper also discusses the opportunities and challenges of Big Data-based credit risk analysis, which needs to be improved in future research and practice.
Research Area(s)
- Big data, Credit rating, Information economics , Value of information, Finance
Citation Format(s)
Value of Big Data to Finance : Observations on an Internet Credit Service Company in China. / Zhang, Shaofeng; Xiong, Wei; Ni, Wancheng; LI, Xin.
In: Financial Innovation, Vol. 1, 17, 2015.Research output: Journal Publications and Reviews (RGC: 21, 22, 62) › 21_Publication in refereed journal › Not applicable › peer-review
