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When can a photo increase credit? The impact of lender and borrower profiles on online peer-to-peer loans

16 references·16 citing·40 second hopsampled

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References

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2012Trust and Credit: The Role of Appearance in Peer-to-peer Lending1,066 cited
1988The evolution of human intrasexual competition: Tactics of mate attraction.897 cited

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1986

Evaluations of Self and Others: Self-Enhancement Biases in Social Judgments

855 cited

Cited by

2015Do Lenders Applaud Corporate Environmental Performance? Evidence from Chinese Private-Owned Firms180 cited
2015Predicting Credit Risk in Peer-to-Peer Lending: A Neural Network Approach152 cited
2021Online peer-to-peer lending: A review of the literature126 cited
2017How do investors decide? An interdisciplinary review of decision-making in crowdfunding124 cited
2018A new aspect on P2P online lending default prediction using meta-level phone usage data in China107 cited
2018The effects of facial attractiveness and trustworthiness in online peer-to-peer markets94 cited
2016Judging online peer-to-peer lending behavior: A comparison of first-time and repeated borrowing requests91 cited
2017The persuasion of borrowers’ voluntary information in peer to peer lending: An empirical study based on elaboration likelihood model87 cited
2017The role of punctuation in P2P lending: Evidence from China86 cited
2021Loan default prediction of Chinese P2P market: a machine learning methodology79 cited
2018Disrupting Finance78 cited
2017Herding in a P2P lending market: Rational inference OR irrational trust?64 cited
2018Is there an effective reputation mechanism in peer-to-peer lending? Evidence from China62 cited
2021The role of P2P platforms in enhancing financial inclusion in the United States: An analysis of peer‐to‐peer lending across the rural–urban divide62 cited
2018Safety promise, moral hazard and financial supervision: Evidence from peer-to-peer lending56 cited
2019What Determine Loan Rate and Default Status in Financial Technology Online Direct Lending? Evidence from Indonesia55 cited