决定金融科技贷款违约的重要因素:来自LendingClub消费者平台的证据

C. Croux, Julapa Jagtiani, Tarunsai Korivi, Milos Vulanovic
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摘要

本研究使用LendingClub消费者平台2007-2018年的贷款水平数据,研究了金融科技贷款的关键违约决定因素。我们确定了一套强有力的合同贷款特征、借款人特征和宏观经济变量,这些变量对确定违约很重要。我们发现,即使在控制了明显的风险特征和当地经济因素之后,替代数据在确定贷款违约方面也发挥了重要作用。结果对不同的经验方法是稳健的。我们还发现,房屋所有权和职业是决定违约的重要因素。然而,贷款人必须证明这些因素不会导致任何不公平的信贷决策。此外,我们发现用于医疗融资或小企业融资的个人贷款比其他个人贷款风险更大,具有相同的借款人特征。政府通过各种公私合作项目提供支持,有可能使那些需要医疗服务的人和小企业更容易获得资金,而不会给小型点对点(P2P)投资者带来过度风险。
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Important Factors Determining Fintech Loan Default: Evidence from the LendingClub Consumer Platform
This study examines key default determinants of fintech loans, using loan-level data from the LendingClub consumer platform during 2007–2018. We identify a robust set of contractual loan characteristics, borrower characteristics, and macroeconomic variables that are important in determining default. We find an important role of alternative data in determining loan default, even after controlling for the obvious risk characteristics and the local economic factors. The results are robust to different empirical approaches. We also find that homeownership and occupation are important factors in determining default. Lenders, however, are required to demonstrate that these factors do not result in any unfair credit decisions. In addition, we find that personal loans used for medical financing or small business financing are more risky than other personal loans, holding the same characteristics of the borrowers. Government support through various public-private programs could potentially make funding more accessible to those in need of medical services and small businesses without imposing excessive risk to small peer-to-peer (P2P) investors.
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