P2P Lending Survey: Platforms, Recent Advances and Prospects

被引:47
|
作者
Zhao, Hongke [1 ]
Ge, Yong [2 ]
Liu, Qi [1 ]
Wang, Guifeng [1 ]
Chen, Enhong [1 ]
Zhang, Hefu [1 ]
机构
[1] Univ Sci & Technol China, Anhui Prov Key Lab Big Data Anal & Applicat, Hefei 230026, Anhui, Peoples R China
[2] Univ Arizona, Eller Coll Management, Tucson, AZ 85721 USA
基金
中国国家自然科学基金; 美国国家科学基金会;
关键词
P2P lending; micro-finance; online loans; platforms; prospects; RISK-ASSESSMENT; CREDIT RISK; MICROFINANCE; PERFORMANCE; FRAMEWORK; PRIVACY; TRUST; MODEL;
D O I
10.1145/3078848
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
P2P lending is an emerging Internet-based application where individuals can directly borrow money from each other. The past decade has witnessed the rapid development and prevalence of online P2P lending platforms, examples of which include Prosper, LendingClub, and Kiva. Meanwhile, extensive research has been done that mainly focuses on the studies of platform mechanisms and transaction data. In this article, we provide a comprehensive survey on the research about P2P lending, which, to the best of our knowledge, is the first focused effort in this field. Specifically, we first provide a systematic taxonomy for P2P lending by summarizing different types of mainstream platforms and comparing their working mechanisms in detail. Then, we review and organize the recent advances on P2P lending from various perspectives (e.g., economics and sociology perspective, and data-driven perspective). Finally, we propose our opinions on the prospects of P2P lending and suggest some future research directions in this field. Meanwhile, throughout this paper, some analysis on real-world data collected from Prosper and Kiva are also conducted.
引用
收藏
页数:28
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