IDEAS home Printed from https://ideas.repec.org/a/eee/jbrese/v68y2015i6p1291-1305.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0148296314003750
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jbusres.2014.11.021?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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).
    3. Wang, Liang & Li, Yuxuan & Liang, Meiqi & Wang, Yuanfei, 2023. "Research on P2P product portfolio strategy based on term structure under risk reserve system," International Review of Economics & Finance, Elsevier, vol. 83(C), pages 124-138.
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Xueru Chen & Xiaoji Hu & Shenglin Ben, 2021. "How do reputation, structure design and FinTech ecosystem affect the net cash inflow of P2P lending platforms? Evidence from China," Electronic Commerce Research, Springer, vol. 21(4), pages 1055-1082, December.
    2. Peng Wang & Haichao Zheng & Dongyu Chen & Liangchao Ding, 2015. "Exploring the critical factors influencing online lending intentions," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 1(1), pages 1-11, December.
    3. Dongyu Chen & Xiaolin Li & Fujun Lai, 2023. "Shill bidding in lenders’ eyes? A cross-country study on the influence of large bids in online P2P lending," Electronic Commerce Research, Springer, vol. 23(2), pages 1089-1114, June.
    4. de Roure, Calebe & Pelizzon, Loriana & Tasca, Paolo, 2016. "How does P2P lending fit into the consumer credit market?," Discussion Papers 30/2016, Deutsche Bundesbank.
    5. Teply, Petr & Polena, Michal, 2020. "Best classification algorithms in peer-to-peer lending," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).
    6. Carla Martínez-Climent & Ana Zorio-Grima & Domingo Ribeiro-Soriano, 2018. "Financial return crowdfunding: literature review and bibliometric analysis," International Entrepreneurship and Management Journal, Springer, vol. 14(3), pages 527-553, September.
    7. Chaim Letwin & Michael P. Ciuchta & Michael Johnson & Regan Stevenson & Cameron Ford, 2024. "Passion and attractiveness on display: an examination of gender bias in crowdfunding," Small Business Economics, Springer, vol. 63(1), pages 165-192, June.
    8. Faten Ben Slimane & Antoine Rousseau, 2020. "Crowdlending Campaigns for Renewable Energy: Success Factors," Post-Print hal-02371926, HAL.
    9. Benjamin Käfer, 2016. "Peer-to-Peer Lending – A (Financial Stability) Risk Perspective," MAGKS Papers on Economics 201622, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
    10. 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).
    11. Hu, Xiao & Jin, Ye & Li, Yilin & Wu, Banggang, 2023. "Learning from credit default," Finance Research Letters, Elsevier, vol. 58(PD).
    12. Maximilian Goethner & Sebastian Luettig & Tobias Regner, 2021. "Crowdinvesting in entrepreneurial projects: disentangling patterns of investor behavior," Small Business Economics, Springer, vol. 57(2), pages 905-926, August.
    13. Belleflamme, Paul & Omrani, Nessrine & Peitz, Martin, 2015. "The economics of crowdfunding platforms," Information Economics and Policy, Elsevier, vol. 33(C), pages 11-28.
    14. Ho, Kung-Cheng & Gu, Yan & Yan, Cheng & Gozgor, Giray, 2024. "Peer effects in the online peer-to-peer lending market: Ex-ante selection and ex-post learning," International Review of Financial Analysis, Elsevier, vol. 92(C).
    15. Dongyu Chen & Xiaolin Li & Fujun Lai, 2017. "Gender discrimination in online peer-to-peer credit lending: evidence from a lending platform in China," Electronic Commerce Research, Springer, vol. 17(4), pages 553-583, December.
    16. Wei Liu & Li-Qiu Xia, 2017. "An Evolutionary Behavior Forecasting Model for Online Lenders and Borrowers in Peer-to-Peer Lending," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(01), pages 1-14, February.
    17. Serena Gallo, 2021. "Fintech platforms: Lax or careful borrowers’ screening?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-33, December.
    18. Yingxiu Zhao & Wei Zhang & Xiangyu Kong, 2019. "Dynamic Cross-Correlations between Participants’ Attentions to P2P Lending and Offline Loan in the Private Lending Market," Complexity, Hindawi, vol. 2019, pages 1-8, December.
    19. Douglas J. Cumming & Lars Hornuf, 2020. "Marketplace Lending of SMEs," CESifo Working Paper Series 8100, CESifo.
    20. Andreas Hoegen & Dennis M. Steininger & Daniel Veit, 2018. "How do investors decide? An interdisciplinary review of decision-making in crowdfunding," Electronic Markets, Springer;IIM University of St. Gallen, vol. 28(3), pages 339-365, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:jbrese:v:68:y:2015:i:6:p:1291-1305. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jbusres .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.