A default penalty model based on C2VP2C mode for internet financial platforms in Chinese market
Sulin Pang (),
Huili Xian and
Rongzhou Li
Additional contact information
Sulin Pang: Jinan University
Huili Xian: Jinan University
Rongzhou Li: Macau Chinese Bank
Electronic Commerce Research, 2022, vol. 22, issue 2, No 11, 485-511
Abstract:
Abstract The present study proposes a novel customer-to-virtual-product-to-customer (C2VP2C) mode of a loan default penalty model for Internet financial platforms (IFPs) in the Chinese market. The C2VP2C mode is developed based on the traditional peer-to-peer (P2P) business model and introduces IFP virtual products to risk control and loan matching. A loan default penalty model and a punishment mechanism of IFP borrowers in the C2VP2C mode have been developed. Firstly, the transaction mode and operational process of the C2VP2C mode of IFPs were established and three levels of loan matching space were constructed. The study established a penalty model for delinquent borrowers to assess their willingness to repay, and investigated the penalty intensity for defaults. The results show that a greater the penalty coefficient would result in more serious penalties, and with the delay of the repayment, the penalty coefficient showed less changes. The proposed method has important practical value and scientific significance for reducing the default rate of IFP borrowers and improving the loan repayment rate.
Keywords: C2VP2C mode; Internet financial platform; Loan default penalty model; Penalty coefficient; Willingness of repayment (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10660-020-09436-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:elcore:v:22:y:2022:i:2:d:10.1007_s10660-020-09436-x
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660
DOI: 10.1007/s10660-020-09436-x
Access Statistics for this article
Electronic Commerce Research is currently edited by James Westland
More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().