...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Emerging Markets Finance & Trade >Predicting Prepayment and Default Risks of Unsecured Consumer Loans in Online Lending
【24h】

Predicting Prepayment and Default Risks of Unsecured Consumer Loans in Online Lending

机译：预测在线贷款中无抵押消费者贷款的预付款和默认风险

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Online lending provides a means of fast financing for borrowers based on their creditworthiness. However, borrowers may undermine this agreement due to early repayment or default, which are two major concerns for the platform and lenders, since both affect the profitability of a loan. While default risk is frequently focused on credit scoring literature, prepayment has received much less attention, despite a higher prepayment rate being observed in online lending when compared with default. This article uses multivariate logistic regression to predict the probability of both the underlying prepayment and default risks. Real consumer lending data of 140,605 unsecured loans provides evidence that these two events have their own distinct patterns. We consider systemic risk by incorporating macroeconomic factors in modeling and address the influence of economic conditions, which are lessons learnt from the last financial crisis. The out-of-sample validation has shown that both prepayment and default can be accurately predicted. This article highlights the necessity of regulations on prepayment given the fast growing online lending market.
机译：在线贷款为借款人提供了一种基于信誉的融资。然而，借款人可能会因早期还款或违约而破坏本协议，这是平台和贷方的两个主要问题，因为两者都影响贷款的盈利能力。虽然违约风险经常专注于信用评分文献，但由于在线贷款中观察到违约时，预付款的预付款受到重视。本文使用多变量逻辑回归来预测潜在的预付款和默认风险的概率。真正的消费者贷款数据为140,605个无担保贷款提供了证据表明这两个事件有自己的独特模式。我们通过将宏观经济因素纳入建模和解决经济状况的影响，我们考虑了系统风险，这是从最后的金融危机中汲取的经验教训。采样超出验证表明，可以准确预测支付和默认值。本文突出了预付预付款规定的必要性，因为快速增长的在线贷款市场。

著录项

  • 来源
    《Emerging Markets Finance & Trade》 |2019年第3期|118-132|共15页
  • 作者

    Li Zhiyong; Li Ke; Yao Xiao; Wen Qing;

  • 作者单位

    Southwestern Univ Finance & Econ Sch Finance Chengdu Sichuan Peoples R China|Southwestern Univ Finance & Econ Collaborat Innovat Ctr Financial Secur Chengdu Sichuan Peoples R China;

    Southwestern Univ Finance & Econ Collaborat Innovat Ctr Financial Secur Chengdu Sichuan Peoples R China|Southwestern Univ Finance & Econ Sch Stat 555 Liutai Ave Chengdu 611130 Sichuan Peoples R China;

    Cent Univ Finance & Econ Business Sch Beijing Peoples R China;

    Southwestern Univ Finance & Econ Sch Finance Chengdu Sichuan Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    credit; default; online lending; prediction; prepayment; H81; C53; D81;

    机译：信用;默认;在线贷款;预测;预付款;H81;C53;D81;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号