The applicability and rationality of “credit score based on digital footprint”

DOI

10.2991/978-94-6463-298-9_60How to use a DOI?

Keywords

fintech; credit score; digital footprint; consumer default; big data

Abstract

Because of the application of the internet and the strong penetration of mobile phone usage, financial institutions realize that credit scores can be performed based on the access records of each user, that is, digital footprints. This approach can not only predict consumer default but also make it easier for the unbanked. However, there are also a series of problems with using digital footprints for credit scores. This paper will mainly affirm the applicability of using the digital footprint model for credit scores by comparing the traditional and new credit score models, the FICO scoring system and the user-generated digital footprint model. Finally, describe the problems of the UGDF model and the measures to be taken.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Qianhui Yang
PY  - 2023
DA  - 2023/11/30
TI  - The applicability and rationality of “credit score based on digital footprint”
BT  - Proceedings of the 2023 International Conference on Finance, Trade and Business Management (FTBM 2023)
PB  - Atlantis Press
SP  - 552
EP  - 560
SN  - 2352-5428
UR  - https://doi.org/10.2991/978-94-6463-298-9_60
DO  - 10.2991/978-94-6463-298-9_60
ID  - Yang2023
ER  -