{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,26]],"date-time":"2026-07-26T05:02:11Z","timestamp":1785042131138,"version":"3.55.0"},"reference-count":19,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2018,10,12]],"date-time":"2018-10-12T00:00:00Z","timestamp":1539302400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001659","name":"Deutsche Forschungsgemeinschaft","doi-asserted-by":"publisher","award":["628902"],"award-info":[{"award-number":["628902"]}],"id":[{"id":"10.13039\/501100001659","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Games"],"abstract":"<jats:p>We study the determinants of borrowers\u2019 default in P2P lending with a new data set consisting of 70,673 loan observations from the Lending Club. Previous research identified a number of default determining variables but did not distinguish between different loan risk levels. We define four loan risk classes and test the significance of the default determining variables within each loan risk class. Our findings suggest that the significance of most variables depends on the loan risk class. Only a few variables are consistently significant across all risk classes. The debt-to-income ratio, inquiries in the past six months and a loan intended for a small business are positively correlated with the default rate. Annual income and credit card as loan purpose are negatively correlated.<\/jats:p>","DOI":"10.3390\/g9040082","type":"journal-article","created":{"date-parts":[[2018,10,12]],"date-time":"2018-10-12T10:54:03Z","timestamp":1539341643000},"page":"82","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":36,"title":["Determinants of Borrowers\u2019 Default in P2P Lending under Consideration of the Loan Risk Class"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8815-843X","authenticated-orcid":false,"given":"Michal","family":"Polena","sequence":"first","affiliation":[{"name":"Czechoslovak Commercial Bank, 150 57 Prague, Czech Republic"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6023-9094","authenticated-orcid":false,"given":"Tobias","family":"Regner","sequence":"additional","affiliation":[{"name":"University of Jena, 07743 Jena, Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,10,12]]},"reference":[{"key":"ref_1","unstructured":"Deloitte (2018, August 31). Banking Disrupted: How Technology Is Threatening the Traditional European Retail Banking Model. Available online: https:\/\/www2.deloitte.com\/content\/dam\/Deloitte\/global\/Documents\/Financial-Services\/dttl-fsi-uk-Banking-Disrupted-2014-06.pdf."},{"key":"ref_2","unstructured":"Wardrop, R., Zhang, B., Rau, R., and Gray, M. (2018, August 31). The European Alternative Finance Benchmarking Report. Universtiy of Cambridge Report. Available online: https:\/\/www.ey.com\/publication\/vwluassets\/ey-and-university-of-cambridge\/%24file\/ey-cambridge-alternative-finance-report.pdf."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Wang, J., Xu, H., and Ma, J. (2015). Financing the Underfinanced, Springer.","DOI":"10.1007\/978-3-662-46525-7"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"54","DOI":"10.1080\/00036846.2014.962222","article-title":"Evaluating credit risk and loan performance in online Peer-to-Peer (P2P) lending","volume":"47","author":"Emekter","year":"2015","journal-title":"Appl. Econ."},{"key":"ref_5","unstructured":"Carmichael, D. (2018, August 31). Modeling Default for Peer-to-Peer Loans. Available online: http:\/\/ssrn.com\/abstract=2529240."},{"key":"ref_6","first-page":"1","article-title":"Determinants of Default in P2P Lending","volume":"10","year":"2015","journal-title":"PLoS ONE"},{"key":"ref_7","unstructured":"Wu, J. (2018, August 31). Loan Default Prediction Using Lending Club Data. Available online: http:\/\/www.wujiayu.me\/assets\/projects\/loan-default-prediction-Jiayu-Wu.pdf."},{"key":"ref_8","first-page":"1","article-title":"An Introduction to Peer to Peer Loans as Investments","volume":"12","author":"Namvar","year":"2013","journal-title":"J. Invest. Manag."},{"key":"ref_9","unstructured":"Mills, K.G. (2018, August 31). The State of Small Business Lending: Credit Access during the Recovery and How Technology May Change the Game. Available online: https:\/\/www.hbs.edu\/faculty\/Publication%20Files\/15-004_09b1bf8b-eb2a-4e63-9c4e-0374f770856f.pdf."},{"key":"ref_10","unstructured":"Deer, L., Mi, J., and Yuxin, Y. (2018, August 31). The Rise of Peer-to-Peer Lending in China: An Overview and Survey Case Study. Available online: https:\/\/www.accaglobal.com\/content\/dam\/ACCA_Global\/Technical\/manage\/ea-china-p2p-lending.pdf."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1287\/mnsc.1120.1560","article-title":"Judging borrowers by the company they keep: Friendship networks and information asymmetry in online peer-to-peer lending","volume":"59","author":"Lin","year":"2013","journal-title":"Manag. Sci."},{"key":"ref_12","unstructured":"Freedman, S., and Jin, G.Z. (2018, August 31). The Information Value of Online Social Networks: Lessions From Peer-to-Peer Lending. Available online: http:\/\/www.nber.org\/papers\/w19820."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1111\/geer.12052","article-title":"Is crowdfunding different? Evidence on the relation between gender and funding success from a German peer-to-peer lending platform","volume":"15","author":"Barasinska","year":"2014","journal-title":"Ger. Econ. Rev."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"27","DOI":"10.1016\/j.intmar.2010.07.001","article-title":"Strategic Herding Behavior in Peer-to-Peer Loan Auctions","volume":"25","author":"Herzenstein","year":"2011","journal-title":"J. Interact. Mark."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"892","DOI":"10.1287\/mnsc.1110.1459","article-title":"Rational Herding in Microloan Markets","volume":"58","author":"Zhang","year":"2012","journal-title":"Manag. Sci."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1002\/isaf.325","article-title":"Credit scoring, statistical technique and evaluation criteria: A review of the literature","volume":"18","author":"Abdou","year":"2011","journal-title":"Intell. Syst. Account. Financ. Manag."},{"key":"ref_17","unstructured":"Iyer, R., Khwaja, A., Luttmer, E., and Shue, K. (2018, August 01). Screening in New Credit Markets Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?. Available online: https:\/\/ssrn.com\/abstract=1570115."},{"key":"ref_18","unstructured":"(2016, May 01). LendingClub. Available online: https:\/\/www.lendingclub.com\/."},{"key":"ref_19","unstructured":"(2016, May 01). myfico. Available online: http:\/\/www.myfico.com\/."}],"container-title":["Games"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2073-4336\/9\/4\/82\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T15:25:14Z","timestamp":1760196314000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2073-4336\/9\/4\/82"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,10,12]]},"references-count":19,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2018,12]]}},"alternative-id":["g9040082"],"URL":"https:\/\/doi.org\/10.3390\/g9040082","relation":{},"ISSN":["2073-4336"],"issn-type":[{"value":"2073-4336","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,10,12]]}}}