<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">SSR</journal-id><journal-title-group><journal-title>Scientific and Social Research</journal-title></journal-title-group><issn>2661-4332</issn><eissn>2981-9946</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.26689/ssr.v6i4.6704</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Attributes and Impacts of Learning from Prior Lenders in Peer-to-peer Lending</title><url>https://artdesignp.com/journal/SSR/6/4/10.26689/ssr.v6i4.6704</url><author>WangRui</author><pub-date pub-type="publication-year"><year>2024</year></pub-date><volume>6</volume><issue>4</issue><history><date date-type="pub"><published-time>2024-04-29</published-time></date></history><abstract>Learning from others is a facet of human nature. In peer-to-peer lending, potential lenders who are interested in the loan, but have not yet funded it, observe and learn from the behavior of prior lenders who have funded the loan. It is unclear, however, whether potential lenders learn from the prior lenders’ attributes other than the observed bidding behavior. Using data from PPDai.com, the study finds that potential lenders consider the prior lender’s risk preference, investment experience, and historical investment performance when making investment decisions. Specifically, potential lenders are more likely to fund loans that have more female or older prior lenders. The potential lenders’ decisions are positively affected by the proportion of prior lenders with long account duration, high investment success ratio, low bad debt ratio, and high money-weighted rate of return.</abstract><keywords/></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>Lin M, Prabhala NR, Viswanathan S, 2013, Judging Borrowers by the Company they Keep: Friendship Networks and Information Asymmetry in Online Peer-to-peer Lending. Management Science, 59(1): 17–35.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B2" content-type="article"><label>2</label><element-citation publication-type="journal"><p>Freedman SM, Jin GZ, 2011, Learning by Doing with Asymmetric Information: Evidence from Prosper.com. National Bureau of Economic Research, No. 16855.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B3" content-type="article"><label>3</label><element-citation publication-type="journal"><p>Massa M, Simonov A, 2006, Hedging, Familiarity and Portfolio Choice. The Review of Financial Studies, 19(2): 633–685.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B4" content-type="article"><label>4</label><element-citation publication-type="journal"><p>Yum H, Lee B, Chae M, 2012, From the Wisdom of Crowds to My Own Judgment in Microfinance through Online Peer-to-peer Lending Platforms. Electronic Commerce Research and Applications, 11(5): 469–483.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B5" content-type="article"><label>5</label><element-citation publication-type="journal"><p>Pointner W, Raunig B, 2018, A Primer on Peer-to-peer Lending: Immediate Financial Intermediation in Practice. Monetary Policy &amp; the Economy, 3(18): 36–51.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B6" content-type="article"><label>6</label><element-citation publication-type="journal"><p>Herzenstein M, Dholakia UM, Andrews RL, 2011, Strategic Herding Behavior in Peer-to-peer Loan Auctions. Journal of Interactive Marketing, 25(1): 27–36.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B7" content-type="article"><label>7</label><element-citation publication-type="journal"><p>Banerjee AV, 1992, A Simple Model of Herd Behavior. The Quarterly Journal of Economics, 107(3): 797–817.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B8" content-type="article"><label>8</label><element-citation publication-type="journal"><p>Plavnick JB, Hume KA, 2014, Observational Learning by Individuals with Autism: A Review of Teaching Strategies. Autism, 18(4): 458–466.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B9" content-type="article"><label>9</label><element-citation publication-type="journal"><p>Van GT, Paas F, Marcus N, et al., 2009, The Mirror Neuron System and Observational Learning: Implications for the Effectiveness of Dynamic Visualizations. Educational Psychology Review, 21(1): 21–30.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B10" content-type="article"><label>10</label><element-citation publication-type="journal"><p>Lee E, Lee B, 2012, Herding Behavior in Online P2P Lending: An Empirical Investigation. Electronic Commerce Research and Applications, 11(5): 495–503.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B11" content-type="article"><label>11</label><element-citation publication-type="journal"><p>Zhang J, Liu P, 2012, Rational Herding in Microloan Markets. Management Science, 58(5): 892–912.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B12" content-type="article"><label>12</label><element-citation publication-type="journal"><p>Croson R, Gneezy U, 2009, Gender Differences in Preferences. Journal of Economic Literature, 47(2): 448–474.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B13" content-type="article"><label>13</label><element-citation publication-type="journal"><p>Holt CA, Laury SK, 2002, Risk Aversion and Incentive Effects. The American Economic Review, 92(5): 1644–1655.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B14" content-type="article"><label>14</label><element-citation publication-type="journal"><p>Healy A, Pate J, 2011, Can Teams Help to Close the Gender Competition Gap? The Economic Journal, 121(555): 1192–1204.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B15" content-type="article"><label>15</label><element-citation publication-type="journal"><p>Bailey W, Kumar A, Ng D, 2011, Behavioral Biases of Mutual Fund Investors. Journal of Financial Economics, 102(1): 1–27.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B16" content-type="article"><label>16</label><element-citation publication-type="journal"><p>Korniotis GM, Kumar A, 2011, Do Older Investors Make Better Investment Decisions? The Review of Economics and Statistics, 93(1): 244–265.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B17" content-type="article"><label>17</label><element-citation publication-type="journal"><p>Nagel S, Greenwood RM, 2009, Inexperienced Investors and Bubbles. Journal of Financial Economics, 93(2): 239–258.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B18" content-type="article"><label>18</label><element-citation publication-type="journal"><p>Ahlers GKC, Cumming D, Günther C, et al., 2015, Signaling in Equity Crowdfunding. Entrepreneurship Theory and Practice, 39(4): 955–980.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B19" content-type="article"><label>19</label><element-citation publication-type="journal"><p>Iyer R, Khwaja AI, Luttmer EF, et al., 2015, Screening Peers Softly: Inferring the Quality of Small Borrowers. Management Science, 62(6): 1554–1577.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B20" content-type="article"><label>20</label><element-citation publication-type="journal"><p>Riggins FJ, Weber DM, 2017, Information Asymmetries and Identification Bias in P2P Social Microlending. Information Technology for Development, 23(1): 107–126.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B21" content-type="article"><label>21</label><element-citation publication-type="journal"><p>Dorfleitner G, Fischer L, Lung C, et al., 2018, To follow or not to follow: An Empirical Analysis of the Returns of Actors on Social Trading Platforms. The Quarterly Review of Economics and Finance, 2018(70): 160–171.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B22" content-type="article"><label>22</label><element-citation publication-type="journal"><p>Han JT, Chen Q, Liu JG, et al., 2018, The Persuasion of Borrowers’ Voluntary Information in Peer-to-peer Lending: An Empirical Study based on Elaboration Likelihood Model. Computers in Human Behavior, 2018(78): 200–214.</p><pub-id pub-id-type="doi"/></element-citation></ref><ref id="B23" content-type="article"><label>23</label><element-citation publication-type="journal"><p>PPdai, 2016, 2016 Performance Report of PPdai, viewed August 24, 2022, http://www.ppdai.com/event/2016annals.html</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
