A study on the application of digital footprints in credit scoring

Authors

  • Jiawei Wang

DOI:

https://doi.org/10.61173/mrnrjn91

Keywords:

credit scoring, digital footprint, big data, credit risk

Abstract

In the modern economic model, credit scores are an indispensable part of the credit system, which can predict whether people can get loans and how much loans they can get. This paper will define digital footprint and credit score, disband and analyze the specific process of credit scoring based on digital footprint, and discuss the similarities and differences and advantages of emerging digital footprint credit scoring methods compared with traditional digital scoring methods. In addition, the credit analysis is carried out based on the loan data of the states in the United States in 2015 obtained from lending club, and on this basis, the empirical research on the credit score of the states is further divided according to the red and blue continents.

References

[1] Tobias Berg, Valentin Burg, Ana Gombović, Manju Puri, On the Rise of FinTechs: Credit Scoring Using Digital Footprints, The Review of Financial Studies, Volume 33, Issue7,July2020,P ages2845-2897, https://doi.org/10.1093/rfs/hhz099

[2] Andreas Fuster, Matthew Plosser, Philipp Schnabl, James Vickery, The Role of Technology in Mortgage Lending, The Review of Financial Studies, Volume 32 , Issue 5, May 2019, Pages 1854-1899, https://doi.org/10.1093/rfs/hhz018

[3] Ahmad Amine Loutfi,A framework for evaluating the business deployability of digital footprint based models for consumer credit,Journal of Business Research, Volume 152, 2022, Pages473-486, ISSN0148-2963, https://doi.org/10.1016/ j.jbusres.2022.07.057.

[4] Credit Scoring in the Era of Big Data Hurley, Mikella Hurley, Mikella Adebayo, Julius 2016 YALE J.L. & TECH. 18 , pp. 148

[5] Christophe Croux, Julapa Jagtiani, Tarunsai Korivi, Milos Vulanovic,Important factors determining Fintech loan default:Evidence from a lendingclub consumer platform,Journal of Economic Behavior&Organization,Volume173,2020, Pages270-296,ISSN0167-2681,https://doi.org/ 10.1016/ j.jebo.2020.03.016.

[6] Dai, Lili and Han, Jianlei and Shi, Jing and Zhang, Bohui, Digital Footprints as Collateral for Debt Collection (May 7, 2023). Available at SSRN. https://ssrn.com/abstract=4135159 or http://dx.doi.org/10.2139/ssrn.4135159

[7] Sandra C Matz, Ruth E Appel, Michal Kosinski,Privacy in the age of psychological targeting,Current Opinion in Psycholo gy,Volume31,2020,Pages116- 121,ISSN2352-250X,https://doi. org/10.1016/j.copsyc.2019.08.010.

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Published

2024-12-31