EconPapers    
Economics at your fingertips  
 

What if borrowers stop paying their loans? Investors’ rates of return on a peer-to-peer lending platform

Pei-Fen Chen, Shihmin Lo and Hai-Yuan Tang

International Review of Economics & Finance, 2022, vol. 77, issue C, 359-377

Abstract: This research uses over 750,000 loan records from LendingClub issued from 2015 through 2018 to estimate the gross rates of return (ROR) for each loan by assuming the borrowers stop paying their loans once a default occurs. We find the probability of earning a positive return is 75.6% in terms of the total number of loans. By our calculation, the median of ROR ranges from 4.7% to 10.3% by lending to grade A through D borrowers, but ROR plummets to −6.6% to grade E-and-below borrowers. Regression analysis shows that borrowers' credit rating, loan interest rate, loan status, and paid-month are the most critical factors to influence investors’ ROR. Lastly, we offer a few investment implications and suggestions regarding participation in LendingClub.

Keywords: Credit grades; Investors' return; LendingClub; Loan rates; Peer-to-peer lending (search for similar items in EconPapers)
JEL-codes: G15 M13 O35 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1059056021002161
Full text for ScienceDirect subscribers only

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:eee:reveco:v:77:y:2022:i:c:p:359-377

DOI: 10.1016/j.iref.2021.10.011

Access Statistics for this article

International Review of Economics & Finance is currently edited by H. Beladi and C. Chen

More articles in International Review of Economics & Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-03-23
Handle: RePEc:eee:reveco:v:77:y:2022:i:c:p:359-377