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How low can you go? — Overcoming the inability of lenders to set proper interest rates on unsecured peer-to-peer lending markets

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  • Mild, Andreas
  • Waitz, Martin
  • Wöckl, Jürgen

Abstract

The lending of money is traditionally handled by banking institutions. The internet has enabled new forms of credit businesses, challenging the classical bank loan. Peer-to-peer lending markets bring together noninstitutional borrowers and lenders. In a typical lending market, borrowers have to present their projects, and lenders decide under what terms they are prepared to provide the requested capital. As many loans are not secured by collateral, the assessment of the creditworthiness of the borrower is the most important task.

Suggested Citation

  • Mild, Andreas & Waitz, Martin & Wöckl, Jürgen, 2015. "How low can you go? — Overcoming the inability of lenders to set proper interest rates on unsecured peer-to-peer lending markets," Journal of Business Research, Elsevier, vol. 68(6), pages 1291-1305.
    • Handle: RePEc:eee:jbrese:v:68:y:2015:i:6:p:1291-1305
    DOI: 10.1016/j.jbusres.2014.11.021
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    1. Herzenstein, Michal & Dholakia, Utpal M. & Andrews, Rick L., 2011. "Strategic Herding Behavior in Peer-to-Peer Loan Auctions," Journal of Interactive Marketing, Elsevier, vol. 25(1), pages 27-36.
    2. Zacharakis, Andrew L. & Meyer, G. Dale, 2000. "The potential of actuarial decision models: Can they improve the venture capital investment decision?," Journal of Business Venturing, Elsevier, vol. 15(4), pages 323-346, July.
    3. repec:bla:econom:v:54:y:1987:i:215:p:289-98 is not listed on IDEAS
    4. Kim, Hong Sik & Sohn, So Young, 2010. "Support vector machines for default prediction of SMEs based on technology credit," European Journal of Operational Research, Elsevier, vol. 201(3), pages 838-846, March.
    5. Jefferson Duarte & Stephan Siegel & Lance Young, 2012. "Trust and Credit: The Role of Appearance in Peer-to-peer Lending," The Review of Financial Studies, Society for Financial Studies, vol. 25(8), pages 2455-2484.
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    Cited by:

    1. Liu, He & Qiao, Han & Wang, Shouyang & Li, Yuze, 2019. "Platform Competition in Peer-to-Peer Lending Considering Risk Control Ability," European Journal of Operational Research, Elsevier, vol. 274(1), pages 280-290.
    2. Fung, Derrick W.H. & Lee, Wing Yan & Yeh, Jason J.H. & Yuen, Fei Lung, 2020. "Friend or foe: The divergent effects of FinTech on financial stability," Emerging Markets Review, Elsevier, vol. 45(C).
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    4. Yufei Xia & Lingyun He & Yinguo Li & Nana Liu & Yanlin Ding, 2020. "Predicting loan default in peer‐to‐peer lending using narrative data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 39(2), pages 260-280, March.
    5. Li, Zhiyong & Li, Aimin & Bellotti, Anthony & Yao, Xiao, 2023. "The profitability of online loans: A competing risks analysis on default and prepayment," European Journal of Operational Research, Elsevier, vol. 306(2), pages 968-985.
    6. Carlos Serrano-Cinca & Begoña Gutiérrez-Nieto & Luz López-Palacios, 2015. "Determinants of Default in P2P Lending," PLOS ONE, Public Library of Science, vol. 10(10), pages 1-22, October.
    7. Wang, Qian & Su, Zhongnan & Chen, Xinyang, 2021. "Information disclosure and the default risk of online peer-to-peer lending platform," Finance Research Letters, Elsevier, vol. 38(C).
    8. Gao, Guang-Xin & Fan, Zhi-Ping & Fang, Xin & Lim, Yun Fong, 2018. "Optimal Stackelberg strategies for financing a supply chain through online peer-to-peer lending," European Journal of Operational Research, Elsevier, vol. 267(2), pages 585-597.
    9. John Beirne & Nuobu Renzhi & Ulrich Volz, 2023. "Non-Bank Finance and Monetary Policy Transmission in Asia," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 59(6), pages 1976-1991, May.
    10. Pindado, Julio & Requejo, Ignacio & Rivera, Juan C., 2017. "Economic forecast and corporate leverage choices: The role of the institutional environment," International Review of Economics & Finance, Elsevier, vol. 51(C), pages 121-144.
    11. Ying Liu & Rui Wang & Jin Qin, 2021. "CEO influence on P2P platform survival: Education and experience do matter!," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(3), pages 622-634, April.
    12. Chen, Rongda & Chen, Yikai & Jin, Chenglu & Xu, Guorui & Bao, Weiwei & Guo, Kenan, 2021. "Characteristics and mechanisms of not-fully marketized interest rates: Evidence from Chinese online lending," Research in International Business and Finance, Elsevier, vol. 55(C).
    13. Peter Gomber & Jascha-Alexander Koch & Michael Siering, 2017. "Digital Finance and FinTech: current research and future research directions," Journal of Business Economics, Springer, vol. 87(5), pages 537-580, July.
    14. Chen, Cathy W.S. & Dong, Manh Cuong & Liu, Nathan & Sriboonchitta, Songsak, 2019. "Inferences of default risk and borrower characteristics on P2P lending," The North American Journal of Economics and Finance, Elsevier, vol. 50(C).
    15. Chen, Xiao & Huang, Bihong & Ye, Dezhu, 2018. "The role of punctuation in P2P lending: Evidence from China," Economic Modelling, Elsevier, vol. 68(C), pages 634-643.
    16. Qizhi Tao & Yizhe Dong & Ziming Lin, 2017. "Who can get money? Evidence from the Chinese peer-to-peer lending platform," Information Systems Frontiers, Springer, vol. 19(3), pages 425-441, June.
    17. Guangyou Zhou & Yijia Zhang & Sumei Luo, 2018. "P2P Network Lending, Loss Given Default and Credit Risks," Sustainability, MDPI, vol. 10(4), pages 1-15, March.
    18. Daud, Siti Nurazira Mohd & Ahmad, Abd Halim & Khalid, Airil & Azman-Saini, W.N.W., 2022. "FinTech and financial stability: Threat or opportunity?," Finance Research Letters, Elsevier, vol. 47(PB).
    19. Maxime Delabarre, 2021. "FinTech in the Financial Market," SciencePo Working papers Main hal-03107769, HAL.
    20. Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 2021. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 23(4), pages 963-986, August.
    21. Qun Chen & Ji-Wen Li & Jian-Guo Liu & Jing-Ti Han & Yun Shi & Xun-Hua Guo, 0. "Borrower Learning Effects: Do Prior Experiences Promote Continuous Successes in Peer-to-Peer Lending?," Information Systems Frontiers, Springer, vol. 0, pages 1-24.
    22. Qizhi Tao & Yizhe Dong & Ziming Lin, 0. "Who can get money? Evidence from the Chinese peer-to-peer lending platform," Information Systems Frontiers, Springer, vol. 0, pages 1-17.
    23. Efstathios Polyzos & Aristeidis Samitas & Ghulame Rubbaniy, 2024. "The perfect bail‐in: Financing without banks using peer‐to‐peer lending," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 29(3), pages 3393-3412, July.
    24. Maxime Delabarre, 2021. "FinTech in the Financial Market," Working Papers hal-03107769, HAL.
    25. Golnoosh Babaei & Shahrooz Bamdad, 2020. "A neural‐network‐based decision‐making model in the peer‐to‐peer lending market," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 27(3), pages 142-150, July.

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