Predicting Prepayment and Default Risks of Unsecured Consumer Loans in Online Lending-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

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

Published:2018-07-24 Issue:1 Volume:55 Page:118-132
ISSN:1540-496X
Container-title:Emerging Markets Finance and Trade
language:en
Short-container-title:Emerging Markets Finance and Trade

Author:

Li Zhiyong¹²,Li Ke²³,Yao Xiao⁴,Wen Qing¹

Affiliation:

1. School of Finance, Southwestern University of Finance and Economics, Chengdu, China

2. Collaborative Innovation Center of Financial Security, Southwestern University of Finance and Economics, Chengdu, China

3. School of Statistics, Southwestern University of Finance and Economics, Chengdu, China

4. Business School, Central University of Finance and Economics, Beijing, China

Publisher

Informa UK Limited

Subject

General Economics, Econometrics and Finance,Finance

Link

https://www.tandfonline.com/doi/pdf/10.1080/1540496X.2018.1479251

Reference43 articles.

1. Credit Lines and Credit Utilization

2. Comparing the performance of market-based and accounting-based bankruptcy prediction models

3. Modelling profitability using survival combination scores

4. Not if but when will borrowers default

Cited by 22 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimal structure of an expected loss credit rating model;Applied Economics;2024-06-11

2. An Age–Period–Cohort Framework for Profit and Profit Volatility Modeling;Mathematics;2024-05-07

3. Pengaruh Pinjaman Online terhadap Gaya Hidup Mahasiswa Akuntansi di Kabupaten Sidoarjo;Innovative Technologica: Methodical Research Journal;2024-01-08

4. A Comparative Study of Machine Learning Algorithms for Enhanced Credit Default Prediction;Algorithms for Intelligent Systems;2024

5. Analisis Yuridis Peran OJK dalam Melakukan Perlindungan Hukum Korban Pinjaman Online Berdasarkan Peraturan Otoritas Jasa Keuangan Nomor 77/Pojk.1/2016;Journal of Contemporary Law Studies;2023-11-16

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3