DocumentCode
3337726
Title
A study on the users´ behaviors of P2P online lending platforms
Author
Jing Fan ; Long Peng ; Yi Du ; Sihan Li
Author_Institution
Int. Bus. Sch., Beijing Foreign Studies Univ., Beijing, China
fYear
2015
fDate
22-24 June 2015
Firstpage
1
Lastpage
4
Abstract
The rapid development of communication technology of the Internet has given a rise to the transformative development of the financial industry. P2P online lending is one of the forms of online finance. It is a peer-to-peer funding and financing method, which has transformed the traditional funding and financing ways through the use of Internet. It has offered a convenient and fast online transaction platform for the public. This paper focus on two research questions: (1) what are the factors influencing the lending success rate of individual users on P2P online lending platform? (2) what are the factors depending the final interest rate of every transaction? This paper has gathered the personal lending history information of 100 users and detailed information lists of 80 success bids from PPDai.com, a P2P online lending platform. The results show that the number of accreditation and the borrowing credit have a most obvious impact on the lending success rate, while the lending credit has no obvious impact on it. The amount of lending, the borrowing credit rating, the number of accreditation and the lending success rate are key factors that influence the lending interest rate, whilst the time limit of lending has no obvious impact on the lending interest rate.
Keywords
economic indicators; electronic commerce; peer-to-peer computing; transaction processing; P2P online lending platform; accreditation; borrowing credit rating; communication technology; credit lending; financial industry; financing method; information lists; lending interest rate; lending success rate; lending time limit; online finance; online transaction platform; peer-to-peer funding; personal lending history information gathering; success bids; user behaviors; Accreditation; Companies; Economic indicators; Industries; Mathematical model; Peer-to-peer computing; formatting; insert; style; styling;
fLanguage
English
Publisher
ieee
Conference_Titel
Service Systems and Service Management (ICSSSM), 2015 12th International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-1-4799-8327-8
Type
conf
DOI
10.1109/ICSSSM.2015.7170265
Filename
7170265
Link To Document