Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending

Riza Emekter, Yanbin Tu, Benjamas Jirasakuldech, Min Lu

Applied Economics · 2014 · 492 citations · 20 references

Concepts

TL;DR

Online Peer‑to‑Peer lending has recently emerged as a micro‑loan market that offers benefits to both borrowers and lenders. The study aims to evaluate credit risk and loan performance using Lending Club data and to advise the platform on attracting higher‑FICO, higher‑income borrowers to sustain its business. The authors analyze Lending Club loan data to assess characteristics, credit risk, and performance. The analysis shows that lower credit grades, higher debt‑to‑income ratios, lower FICO scores, and higher revolving line utilization increase default risk, and that longer loan durations and higher interest rates on high‑risk borrowers do not offset the elevated default probability.

Abstract

Online Peer-to-Peer (P2P) lending has emerged recently. This micro loan market could offer certain benefits to both borrowers and lenders. Using data from the Lending Club, which is one of the popular online P2P lending houses, this article explores the P2P loan characteristics, evaluates their credit risk and measures loan performances. We find that credit grade, debt-to-income ratio, FICO score and revolving line utilization play an important role in loan defaults. Loans with lower credit grade and longer duration are associated with high mortality rate. The result is consistent with the Cox Proportional Hazard test which suggests that the hazard rate or the likelihood of the loan default increases with the credit risk of the borrowers. Finally, we find that higher interest rates charged on the high-risk borrowers are not enough to compensate for higher probability of the loan default. The Lending Club must find ways to attract high FICO score and high-income borrowers in order to sustain their businesses.

References

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