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Geographical-Proximity Bias in P2B Crowdlending Strategies

Author

Listed:
  • Carole Gresse

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

  • Hugo Marin

    (DRM - Dauphine Recherches en Management - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

Using data from a peer-to-business crowdlending platform that exploits an auction-driven system to fund corporate loans, we show that non-professional investors are subject to a geographical-proximity bias. They are more likely to win the auctions of borrowers located close to their place of residence notwithstanding that they are not better informed about their creditworthiness. Unexpectedly, this behavioral bias distorts the loan rate discovery processby increasing the cost of funding for borrowers. This adverse effect results from the greaterability of local investors to submit winning bids at an early stage. This ability is gained from their experience in previous auctions of geographically close borrowers. This suggests that the familiarity feeling stemming from geographical closeness strengthens investor attention,and thereby improves lenders' knowledge about the dynamics of the order flow in local borrowers' auctions.

Suggested Citation

  • Carole Gresse & Hugo Marin, 2021. "Geographical-Proximity Bias in P2B Crowdlending Strategies," Working Papers hal-03338244, HAL.
    • Handle: RePEc:hal:wpaper:hal-03338244
    Note: View the original document on HAL open archive server: https://hal.science/hal-03338244
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    References listed on IDEAS

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    More about this item

    Keywords

    peer-to-business crowdlending; crowdfunding; behavioral finance; loan performance; price discovery process;
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