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    Platform Mispricing and Lender Learning in Peer-to-Peer Lending

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    Author
    Liu, Xinyuan
    Wei, Zaiyan
    Xiao, Mo
    Affiliation
    Univ Arizona, Eller Coll Management
    Issue Date
    2019-10-12
    Keywords
    firm learning
    pricing mechanisms
    peer-to-peer lending
    
    Metadata
    Show full item record
    Publisher
    SPRINGER
    Citation
    Liu, X., Wei, Z. & Xiao, M. Rev Ind Organ (2019). https://doi.org/10.1007/s11151-019-09733-2
    Journal
    REVIEW OF INDUSTRIAL ORGANIZATION
    Rights
    © Springer Science+Business Media, LLC, part of Springer Nature 2019.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We document how online lenders exploit a flawed, new pricing mechanism in a peer-to-peer lending platform: Prosper.com. Switching from auctions to a posted-price mechanism in December 2010, Prosper assigned loan listings with different estimated loss rates into seven distinctive rating grades and adopted a single price for all listings with the same rating grade. We show that lenders adjusted their investment portfolios towards listings at the low end of the risk spectrum of each Prosper rating grade. We find heterogeneity in the speed of adjustment by lender experience, investment size, and diversification strategies. It took about 16 - 17 months for an average lender to take full advantage of the "cherry-picking" opportunity under the single-price regime, which is roughly when Prosper switched to a more flexible pricing mechanism.
    Note
    12 month embargo; published online: 10 October 2019
    ISSN
    0889-938X
    DOI
    10.1007/s11151-019-09733-2
    Version
    Final accepted manuscript
    ae974a485f413a2113503eed53cd6c53
    10.1007/s11151-019-09733-2
    Scopus Count
    Collections
    UA Faculty Publications

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