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Chinese Journal of Management Science ›› 2022, Vol. 30 ›› Issue (12): 96-107.doi: 10.16381/j.cnki.issn1003-207x.2021.0359

• Articles • Previous Articles    

Application of Mobile App List in Evaluating Borrowers’ Credit Risk——An Empirical Analysis of an Online Lending Platform

GUO Wei-dong1, ZHOU Zach Zhi-zhong2, QIAN Chun-tao3   

  1. 1. Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China;2. School of Economics and Management, Tongji University, Shanghai 200092, China;3. Shuhe Group, Shanghai 201203, China
  • Received:2021-02-24 Revised:2021-09-01 Published:2023-01-10
  • Contact: 周志中 E-mail:zhouzhzh@outlook.com

Abstract: With the development of the Internet and popularity of smart phones, data related to the use of mobile devices are used to study the default risk of borrowers, including communication records, short message receiving, mobile track and user behavior data.Data from a large online lending platform are adopted to study whether mobile Apps is related to the credit risk. Three types of Apps are analyzed, namely lifestyle Apps, financial Apps, and property Apps. Personal accounting Apps, takeout Apps and workout Apps are categorized as lifestyle Apps; fund Apps, stock Apps and future Apps are categorized as financial Apps; and car-buying Apps and house-buying Apps are categorized as property Apps. The empirical results show that the usage of these Apps is related to borrowers’ credit risk. Borrowers who install lifestyle Apps, financial Apps, and property Apps have significantly lower credit risk than those who do not install these Apps. In particular, accounting Apps, takeout Apps, stock Apps, and house-buying Apps are good indicators to identify borrowers with good credit.

Key words: mobile App; credit risk; default prediction; online lending; FinTech

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