IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v31y2019icp66-77.html
   My bibliography  Save this article

Does university reputation matter? Evidence from peer-to-peer lending

Author

Listed:
  • Li, Jianwen
  • Hu, Jinyan

Abstract

Using the sample of listings from one of the famous peer-to-peer lending platforms in China, Renrendai.com, we investigate the role of university reputation in peer-to-peer lending. The empirical results show that it is easier for borrowers who graduated from prestigious universities to obtain the requested loans and to have a higher fraction of listing funded. Borrowers who graduated from top ranking universities usually have a lower possibility of loan default and a lower ratio of loan default. Overall, our findings suggest that the university reputation matters in peer-to-peer lending as it can predict lenders’ and borrowers’ behaviors.

Suggested Citation

  • Li, Jianwen & Hu, Jinyan, 2019. "Does university reputation matter? Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 31(C), pages 66-77.
    • Handle: RePEc:eee:finlet:v:31:y:2019:i:c:p:66-77
    DOI: 10.1016/j.frl.2019.04.004
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612318308572
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2019.04.004?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. 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.
    2. Grossman, Sanford J, 1981. "The Informational Role of Warranties and Private Disclosure about Product Quality," Journal of Law and Economics, University of Chicago Press, vol. 24(3), pages 461-483, December.
    3. Mathios, Alan D, 2000. "The Impact of Mandatory Disclosure Laws on Product Choices: An Analysis of the Salad Dressing Market," Journal of Law and Economics, University of Chicago Press, vol. 43(2), pages 651-677, October.
    4. Christopher Jepsen & Kenneth Troske & Paul Coomes, 2014. "The Labor-Market Returns to Community College Degrees, Diplomas, and Certificates," Journal of Labor Economics, University of Chicago Press, vol. 32(1), pages 95-121.
    5. 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.
    6. Mitchell A. Petersen, 2009. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," The Review of Financial Studies, Society for Financial Studies, vol. 22(1), pages 435-480, January.
    7. Juanjuan Chen & Yabin Zhang & Zhujia Yin, 2018. "Education Premium In The Online Peer-To-Peer Lending Marketplace: Evidence From The Big Data In China," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 63(01), pages 45-64, March.
    8. Dorfleitner, Gregor & Priberny, Christopher & Schuster, Stephanie & Stoiber, Johannes & Weber, Martina & de Castro, Ivan & Kammler, Julia, 2016. "Description-text related soft information in peer-to-peer lending – Evidence from two leading European platforms," Journal of Banking & Finance, Elsevier, vol. 64(C), pages 169-187.
    9. Hanming Fang, 2006. "Disentangling The College Wage Premium: Estimating A Model With Endogenous Education Choices," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 47(4), pages 1151-1185, November.
    10. Zhu, Zongyuan, 2018. "Safety promise, moral hazard and financial supervision: Evidence from peer-to-peer lending," Finance Research Letters, Elsevier, vol. 27(C), pages 1-5.
    11. Eleanor Wiske Dillon & Jeffrey Andrew Smith, 2017. "Determinants of the Match between Student Ability and College Quality," Journal of Labor Economics, University of Chicago Press, vol. 35(1), pages 45-66.
    12. Devin G. Pope & Justin R. Sydnor, 2011. "What’s in a Picture?: Evidence of Discrimination from Prosper.com," Journal of Human Resources, University of Wisconsin Press, vol. 46(1), pages 53-92.
    13. Nataliya Barasinska & Dorothea Schäfer, 2014. "Is Crowdfunding Different? Evidence on the Relation between Gender and Funding Success from a German Peer-to-Peer Lending Platform," German Economic Review, Verein für Socialpolitik, vol. 15(4), pages 436-452, November.
    14. Susan Johnson & Arvind Ashta & Djamchid Assadi, 2010. "Online or Offline?: The Rise of “Peer-to-Peer” Lending in Microfinance," Journal of Electronic Commerce in Organizations (JECO), IGI Global, vol. 8(3), pages 26-37, July.
    15. Audrey Light & Wayne Strayer, 2000. "Determinants of College Completion: School Quality or Student Ability?," Journal of Human Resources, University of Wisconsin Press, vol. 35(2), pages 299-332.
    16. Seth M. Freedman & Ginger Zhe Jin, 2011. "Learning by Doing with Asymmetric Information: Evidence from Prosper.com," NBER Working Papers 16855, National Bureau of Economic Research, Inc.
    17. 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.
    18. W. Bentley MacLeod & Evan Riehl & Juan E. Saavedra & Miguel Urquiola, 2017. "The Big Sort: College Reputation and Labor Market Outcomes," American Economic Journal: Applied Economics, American Economic Association, vol. 9(3), pages 223-261, July.
    19. Ginger Zhe Jin, 2005. "Competition and Disclosure Incentives: An Empirical Study of HMOs," RAND Journal of Economics, The RAND Corporation, vol. 36(1), pages 93-112, Spring.
    20. Heckman, James, 2013. "Sample selection bias as a specification error," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 31(3), pages 129-137.
    21. 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.
    22. 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.
    23. Ashenfelter, Orley & Krueger, Alan B, 1994. "Estimates of the Economic Returns to Schooling from a New Sample of Twins," American Economic Review, American Economic Association, vol. 84(5), pages 1157-1173, December.
    24. 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.
    25. George A. Akerlof, 1970. "The Market for "Lemons": Quality Uncertainty and the Market Mechanism," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 84(3), pages 488-500.
    26. Petersen, Mitchell A & Rajan, Raghuram G, 1994. "The Benefits of Lending Relationships: Evidence from Small Business Data," Journal of Finance, American Finance Association, vol. 49(1), pages 3-37, March.
    27. 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. Gong, Qiang & Liu, Chong & Peng, Qianni & Wang, Luying, 2020. "Will CEOs with banking experience lower default risks? Evidence from P2P lending platforms in China," Finance Research Letters, Elsevier, vol. 36(C).
    2. Dongwoo Kim, 2023. "Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets," Electronic Commerce Research, Springer, vol. 23(2), pages 1323-1358, June.
    3. Natnara Chulawate & Supaporn Kiattisin, 2023. "Success Factors Influencing Peer-to-Peer Lending to Support Financial Innovation," Sustainability, MDPI, vol. 15(5), pages 1-16, February.
    4. Zhao, Guangchuan & Cao, Xinbang & Ma, Chao, 2020. "Accounting for horizontal inequity in the delivery of health care: A framework for measurement and decomposition," International Review of Economics & Finance, Elsevier, vol. 66(C), pages 13-24.
    5. Pei Chen & Shan Gao & Fan Jiang & Yifang Ma, 2024. "Measuring the labor market outcomes of universities: evidence from China’s listed company executives," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5715-5730, September.
    6. Yao, Wenyun & Wei, Jiahui & Shen, Yongjian & Deng, Yan & Kutan, Ali M., 2020. "Does celebrity spokesperson signal firm performance? Evidence from a drug scandal in China," Finance Research Letters, Elsevier, vol. 34(C).
    7. Jianwen Li & Jinyan Hu, 2022. "Migrants and default: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 22(3), pages 472-505, September.

    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. Oleksandr Talavera & Haofeng Xu, 2018. "Role of Verification in Peer-to-Peer Lending," Working Papers 2018-25, Swansea University, School of Management.
    2. 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.
    3. 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).
    4. Gregor Dorfleitner & Eva-Maria Oswald & Rongxin Zhang, 2021. "From Credit Risk to Social Impact: On the Funding Determinants in Interest-Free Peer-to-Peer Lending," Journal of Business Ethics, Springer, vol. 170(2), pages 375-400, May.
    5. Jagtiani, Julapa & Lemieux, Catharine, 2018. "Do fintech lenders penetrate areas that are underserved by traditional banks?," Journal of Economics and Business, Elsevier, vol. 100(C), pages 43-54.
    6. 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.
    7. Douglas J. Cumming & Lars Hornuf, 2020. "Marketplace Lending of SMEs," CESifo Working Paper Series 8100, CESifo.
    8. Ding, Jie & Huang, Jinbo & Li, Yong & Meng, Meichen, 2019. "Is there an effective reputation mechanism in peer-to-peer lending? Evidence from China," Finance Research Letters, Elsevier, vol. 30(C), pages 208-215.
    9. Yeujun Yoon & Yu Li & Yan Feng, 2019. "Factors affecting platform default risk in online peer-to-peer (P2P) lending business: an empirical study using Chinese online P2P platform data," Electronic Commerce Research, Springer, vol. 19(1), pages 131-158, March.
    10. 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.
    11. Dongwoo Kim, 2023. "Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets," Electronic Commerce Research, Springer, vol. 23(2), pages 1323-1358, June.
    12. Wang, Yao & Drabek, Zdenek & Wang, Zhengwei, 2022. "The role of social and psychological related soft information in credit analysis: Evidence from a Fintech Company," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 96(C).
    13. 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.
    14. José María Liberti & Mitchell A. Petersen, 2018. "Information: Hard and Soft," NBER Working Papers 25075, National Bureau of Economic Research, Inc.
    15. Jianrong Yao & Jiarui Chen & June Wei & Yuangao Chen & Shuiqing Yang, 2019. "The relationship between soft information in loan titles and online peer-to-peer lending: evidence from RenRenDai platform," Electronic Commerce Research, Springer, vol. 19(1), pages 111-129, March.
    16. Jianwen Li & Jinyan Hu, 2022. "Migrants and default: Evidence from China," International Review of Finance, International Review of Finance Ltd., vol. 22(3), pages 472-505, September.
    17. Wu, Bao & Liu, Zijia & Gu, Qiuyang & Tsai, Fu-Sheng, 2023. "Underdog mentality, identity discrimination and access to peer-to-peer lending market: Exploring effects of digital authentication," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 83(C).
    18. 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).
    19. 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.
    20. Chen, Shiyi & Gu, Yan & Liu, Qingfu & Tse, Yiuman, 2020. "How do lenders evaluate borrowers in peer-to-peer lending in China?," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 651-662.

    More about this item

    Keywords

    Peer-to-peer lending; University reputation; Decision making; Renrendai.com;
    All these keywords.

    JEL classification:

    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G23 - Financial Economics - - Financial Institutions and Services - - - Non-bank Financial Institutions; Financial Instruments; Institutional Investors

    Statistics

    Access and download statistics

    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:finlet:v:31:y:2019:i:c:p:66-77. 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/frl .

    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.