A study on default prediction of Chinese online lending: based on the analysis of mobile phone usage data
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DOI: 10.1080/13504851.2020.1770679
Abstract: ABSTRACT Information asymmetry between online financial lenders and borrowers may lead to a high risk of overdue repayment. To identify the influencing factors of the default rate in Chinese online lending, the presented study was… read more here.
Keywords: default; phone; online lending; mobile phone ... See more keywords
Personal Credit Risk Evaluation Model of P2P Online Lending Based on AHP
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DOI: 10.3390/sym13010083
Abstract: With the rapid development of the P2P (peer-to-peer) online lending industry, which is facing significant credit risk, personal credit evaluation is an important method to reduce credit risk. Based on the various indexes of personal… read more here.
Keywords: risk; credit; personal credit; credit risk ... See more keywords