Loan Pricing in Peer-to-Peer Lending

David D. Maloney (), Sung-Chul Hong and Barin Nag
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David D. Maloney: Department of Computer and Information Sciences, Towson University, Towson, MD 21204, USA
Sung-Chul Hong: Department of Computer and Information Sciences, Towson University, Towson, MD 21204, USA
Barin Nag: Department of Computer and Information Sciences, Towson University, Towson, MD 21204, USA

JRFM, 2024, vol. 17, issue 8, 1-21

Abstract: Lenders writing loans in the peer-to-peer market carry risk with the anticipation of an expected return. In the current implementation, many lenders do not have an exit strategy beyond holding the loan for the full repayment term. Many would-be lenders are deterred by the risk of being stuck with an illiquid investment without a method for adjusting to overall economic conditions. This risk is a limiting factor for the overall number of loan transactions. This risk prevents funding for many applicants in need, while simultaneously steering capital towards other more liquid and mature markets. The underdeveloped valuation methods used presently in the peer-to-peer lending space present an opportunity for establishing a model for assigning value to loans. We provide a novel application of an established model for pricing peer-to-peer loans based on multiple factors common in all loans. The method can be used to give a value to a peer-to-peer loan which enables transactions. These transactions can potentially encourage participation and overall maturity in the secondary peer-to-peer loan trading market. We apply established valuation algorithms to peer-to-peer loans to provide a method for lenders to employ, enabling note trading in the secondary market.

Keywords: secondary markets; algorithms; fintech; peer-to-peer lending (search for similar items in EconPapers)
JEL-codes: C E F2 F3 G (search for similar items in EconPapers)
Date: 2024
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