IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v281y2020i2p428-438.html
   My bibliography  Save this article

Social collateral, soft information and online peer-to-peer lending: A theoretical model

Author

Listed:
  • Liu, Zhengchi
  • Shang, Jennifer
  • Wu, Shin-yi
  • Chen, Pei-yu

Abstract

Traditional credit markets have been criticized as inefficient in allocating credits to borrowers. Powered by advanced Internet technology, online Peer-to-Peer (P2P) lending has emerged as an attractive alternative, especially for small borrowers who have limited assets and are in need of funds urgently. Although several empirical studies have examined factors influencing the micro-level lending outcome, there is a lack of understanding on the overall business model of P2P lending, especially its screening mechanism, and how it helps address the deficiency of the traditional credit market. This paper fills this void. First, we develop a theoretical model incorporating two unique features of P2P lending (soft information and social collateral) and show that in P2P, low-risk borrowers could force high-risk ones off the market under very general conditions. As a result, P2P complements traditional credit markets by serving the unserved (low-risk borrowers with little assets) in the traditional credit markets. Second, we further identify the critical operational settings for P2P success, and the impacts of these settings on borrowers’ welfare. Overall, our model and analyses not only contribute to the literature by showing analytically that P2P and the traditional credit markets are complementary, but also provide practical guidance to P2P platform managers regarding their platform design to help reshape business strategies and enhance business opportunities.

Suggested Citation

  • Liu, Zhengchi & Shang, Jennifer & Wu, Shin-yi & Chen, Pei-yu, 2020. "Social collateral, soft information and online peer-to-peer lending: A theoretical model," European Journal of Operational Research, Elsevier, vol. 281(2), pages 428-438.
  • Handle: RePEc:eee:ejores:v:281:y:2020:i:2:p:428-438
    DOI: 10.1016/j.ejor.2019.08.038
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377221719307088
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ejor.2019.08.038?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. Rajkamal Iyer & Asim Ijaz Khwaja & Erzo F. P. Luttmer & Kelly Shue, 2016. "Screening Peers Softly: Inferring the Quality of Small Borrowers," Management Science, INFORMS, vol. 62(6), pages 1554-1577, June.
    2. William Adams & Liran Einav & Jonathan Levin, 2009. "Liquidity Constraints and Imperfect Information in Subprime Lending," American Economic Review, American Economic Association, vol. 99(1), pages 49-84, March.
    3. Faia, Ester & Pagel, Michaela, 2017. "P2P Lending: Information Externalities, Social Networks and Loans Substitution," CEPR Discussion Papers 12235, C.E.P.R. Discussion Papers.
    4. Avery, Robert B. & Bostic, Raphael W. & Samolyk, Katherine A., 1998. "The role of personal wealth in small business finance," Journal of Banking & Finance, Elsevier, vol. 22(6-8), pages 1019-1061, August.
    5. Egli, Dominik & Ongena, Steven & Smith, David C., 2006. "On the sequencing of projects, reputation building, and relationship finance," Finance Research Letters, Elsevier, vol. 3(1), pages 23-39, March.
    6. Freedman, Seth & Jin, Ginger Zhe, 2017. "The information value of online social networks: Lessons from peer-to-peer lending," International Journal of Industrial Organization, Elsevier, vol. 51(C), pages 185-222.
    7. Dean Karlan & Markus Mobius & Tanya Rosenblat & Adam Szeidl, 2009. "Trust and Social Collateral," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 124(3), pages 1307-1361.
    8. Ju, Yong Han & Sohn, So Young, 2014. "Updating a credit-scoring model based on new attributes without realization of actual data," European Journal of Operational Research, Elsevier, vol. 234(1), pages 119-126.
    9. Allen N. Berger & Gregory F. Udell, 2002. "Small Business Credit Availability and Relationship Lending: The Importance of Bank Organisational Structure," Economic Journal, Royal Economic Society, vol. 112(477), pages 32-53, February.
    10. Bester, Helmut, 1987. "The role of collateral in credit markets with imperfect information," European Economic Review, Elsevier, vol. 31(4), pages 887-899, June.
    11. 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.
    12. Paal, Beatrix & Wiseman, Thomas, 2011. "Group insurance and lending with endogenous social collateral," Journal of Development Economics, Elsevier, vol. 94(1), pages 30-40, January.
    13. Manove, Michael & Padilla, A Jorge & Pagano, Marco, 2001. "Collateral versus Project Screening: A Model of Lazy Banks," RAND Journal of Economics, The RAND Corporation, vol. 32(4), pages 726-744, Winter.
    14. Angilella, Silvia & Mazzù, Sebastiano, 2015. "The financing of innovative SMEs: A multicriteria credit rating model," European Journal of Operational Research, Elsevier, vol. 244(2), pages 540-554.
    15. Gordon Burtch & Anindya Ghose & Sunil Wattal, 2013. "An Empirical Examination of the Antecedents and Consequences of Contribution Patterns in Crowd-Funded Markets," Information Systems Research, INFORMS, vol. 24(3), pages 499-519, September.
    16. Stiglitz, Joseph E & Weiss, Andrew, 1981. "Credit Rationing in Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 71(3), pages 393-410, June.
    17. Jeremy C. Stein, 2002. "Information Production and Capital Allocation: Decentralized versus Hierarchical Firms," Journal of Finance, American Finance Association, vol. 57(5), pages 1891-1921, October.
    18. Bester, Helmut, 1985. "Screening vs. Rationing in Credit Markets with Imperfect Information," American Economic Review, American Economic Association, vol. 75(4), pages 850-855, September.
    19. 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.
    20. Mingfeng Lin & Nagpurnanand R. Prabhala & Siva Viswanathan, 2013. "Judging Borrowers by the Company They Keep: Friendship Networks and Information Asymmetry in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 59(1), pages 17-35, August.
    21. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
    22. Arun Sundararajan & Foster Provost & Gal Oestreicher-Singer & Sinan Aral, 2013. "Research Commentary ---Information in Digital, Economic, and Social Networks," Information Systems Research, INFORMS, vol. 24(4), pages 883-905, December.
    23. Sonenshein, Scott & Herzenstein, Michal & Dholakia, Utpal M., 2011. "How accounts shape lending decisions through fostering perceived trustworthiness," Organizational Behavior and Human Decision Processes, Elsevier, vol. 115(1), pages 69-84, May.
    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. Olena Havrylchyk & Aref Mahdavi-Ardekani, 2020. "Real effects of lending-based crowdfunding platforms on the SMEs," Post-Print halshs-02994903, HAL.
    2. Kriebel, Johannes & Stitz, Lennart, 2022. "Credit default prediction from user-generated text in peer-to-peer lending using deep learning," European Journal of Operational Research, Elsevier, vol. 302(1), pages 309-323.
    3. Mousumi Munmun & Dongli Zhang & Charles C. Luo, 2024. "Peer-to-Peer Lending Performance Improvement: Learn from Lean Principles," International Journal of Business and Management, Canadian Center of Science and Education, vol. 19(1), pages 101-101, February.
    4. Yan, Nina & Xu, Xun & Huang, Wenyi, 2021. "Supplier's capacity investment strategy with factoring finance," International Journal of Production Economics, Elsevier, vol. 238(C).
    5. Abdikerimova, Samal & Feng, Runhuan, 2022. "Peer-to-peer multi-risk insurance and mutual aid," European Journal of Operational Research, Elsevier, vol. 299(2), pages 735-749.
    6. Wang, Chengfu & Chen, Xiangfeng & Jin, Wei & Fan, Xiaojun, 2022. "Credit guarantee types for financing retailers through online peer-to-peer lending: Equilibrium and coordinating strategy," European Journal of Operational Research, Elsevier, vol. 297(1), pages 380-392.
    7. Wang, Tong & Zhao, Sheng & Zhou, Mengqiu, 2022. "Does soft information in expert ratings curb information asymmetry? Evidence from crowdfunding and early transaction phases of Initial Coin offerings," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 81(C).
    8. Sha Zhou & Tao Ma & Zhengchi Liu, 2021. "Crowdfunding as a screener for collective investment," Electronic Commerce Research, Springer, vol. 21(1), pages 195-221, March.
    9. He, Yunwen, 2021. "Using your regular contacts as collateral: The information value of call logs," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    10. Menéndez-Caravaca, Eloísa & Bueno, Salvador & Gallego, M. Dolores, 2021. "Exploring the link between free and open source software and the collaborative economy: A Delphi-based scenario for the year 2025," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    11. Maran, Raluca, 2022. "Improving MSMEs’ access to start-up financing in ASEAN countries," MPRA Paper 114501, University Library of Munich, Germany.
    12. Carmen Elena Anton & Alexandra Zamfirache & Ruxandra-Gabriela Albu & Titus Suciu & Sergiu Mihai Sofian & Oana-Andreea Ghiță-Pîrnuță, 2024. "Sustainable Entrepreneurship: Romanian Entrepreneurs’ Funding Sources in the Present-Day Context of Sustainability," Sustainability, MDPI, vol. 16(2), pages 1-29, January.
    13. Yanhong Guo & Shuai Jiang & Wenjun Zhou & Chunyu Luo & Hui Xiong, 2021. "A predictive indicator using lender composition for loan evaluation in P2P lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-24, December.

    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. Rajkamal Iyer & Asim Ijaz Khwaja & Erzo F. P. Luttmer & Kelly Shue, 2016. "Screening Peers Softly: Inferring the Quality of Small Borrowers," Management Science, INFORMS, vol. 62(6), pages 1554-1577, June.
    2. Adair Morse, 2015. "Peer-to-Peer Crowdfunding: Information and the Potential for Disruption in Consumer Lending," NBER Working Papers 20899, National Bureau of Economic Research, Inc.
    3. Ruyi Ge & Juan Feng & Bin Gu, 2016. "Borrower’s default and self-disclosure of social media information in P2P lending," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-6, December.
    4. Galema, Rients, 2020. "Credit rationing in P2P lending to SMEs: Do lender-borrower relationships matter?," Journal of Corporate Finance, Elsevier, vol. 65(C).
    5. Zaiyan Wei & Mingfeng Lin, 2017. "Market Mechanisms in Online Peer-to-Peer Lending," Management Science, INFORMS, vol. 63(12), pages 4236-4257, December.
    6. Reabetswe Kgoroeadira & Andrew Burke & André Stel, 2019. "Small business online loan crowdfunding: who gets funded and what determines the rate of interest?," Small Business Economics, Springer, vol. 52(1), pages 67-87, January.
    7. Berger, Allen N. & Espinosa-Vega, Marco A. & Frame, W. Scott & Miller, Nathan H., 2011. "Why do borrowers pledge collateral? New empirical evidence on the role of asymmetric information," Journal of Financial Intermediation, Elsevier, vol. 20(1), pages 55-70, January.
    8. Lu, Haitian & Wang, Bo & Wang, Haizhi & Zhao, Tianyu, 2020. "Does social capital matter for peer-to-peer-lending? Empirical evidence," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).
    9. Menkhoff, Lukas & Neuberger, Doris & Rungruxsirivorn, Ornsiri, 2012. "Collateral and its substitutes in emerging markets’ lending," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 817-834.
    10. Iyer, Rajkamal & Khwaja, Asim Ijaz & Luttmer, Erzo F. P. & Shue, Kelly, 2009. "Screening in New Credit Markets: Can Individual Lenders Infer Borrower Creditworthiness in Peer-to-Peer Lending?," Working Paper Series rwp09-031, Harvard University, John F. Kennedy School of Government.
    11. Marcello Pagnini & Paola Rossi & Valerio Vacca & Lucia dalla Pellegrina & Serena Frazzoni & Zeno Rotondi & Andrea Vezzulli, 2017. "Access to Credit for Small Innovative Businesses," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 46(3), pages 411-458, November.
    12. SECK, Massamba Souleymane, 2019. "Complémentarité Banque islamique du Sénégal/institutions de microfinance : un modèle de financement inclusif et durable des PME sénégalaises [Complementarity Islamic Bank of Senegal/microfinance in," MPRA Paper 92190, University Library of Munich, Germany.
    13. Chala, Alemu Tulu & Forssbaeck, Jens, 2018. "Does Collateral Reduce Loan-Size Credit Rationing? Survey Evidence," Working Papers 2018:36, Lund University, Department of Economics.
    14. Oleksandr Talavera & Haofeng Xu, 2018. "Role of Verification in Peer-to-Peer Lending," Working Papers 2018-25, Swansea University, School of Management.
    15. Tensie Steijvers & Wim Voordeckers & Koen Vanhoof, 2010. "Collateral, relationship lending and family firms," Small Business Economics, Springer, vol. 34(3), pages 243-259, April.
    16. 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.
    17. 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.
    18. Tensie Steijvers & Wim Voordeckers, 2009. "Collateral And Credit Rationing: A Review Of Recent Empirical Studies As A Guide For Future Research," Journal of Economic Surveys, Wiley Blackwell, vol. 23(5), pages 924-946, December.
    19. Robert E. Carpenter & Bruce C. Petersen, 2002. "Capital Market Imperfections, High-Tech Investment, and New Equity Financing," Economic Journal, Royal Economic Society, vol. 112(477), pages 54-72, February.
    20. Qian, Xuesong & Ding, Zifang & Cao, Xiaping & Qi, Shusen, 2020. "Cross-ownership and collateral in lending," International Review of Financial Analysis, Elsevier, vol. 72(C).

    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:ejores:v:281:y:2020:i:2:p:428-438. 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/eor .

    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.