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Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets
by
Kim, Dongwoo
in
Accuracy
/ Competition
/ Cost control
/ Decision making
/ Efficiency
/ Electronic commerce
/ Financial institutions
/ Funding
/ Peer to peer lending
/ Performance prediction
/ Streamlining
2023
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Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets
by
Kim, Dongwoo
in
Accuracy
/ Competition
/ Cost control
/ Decision making
/ Efficiency
/ Electronic commerce
/ Financial institutions
/ Funding
/ Peer to peer lending
/ Performance prediction
/ Streamlining
2023
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Do you wish to request the book?
Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets
by
Kim, Dongwoo
in
Accuracy
/ Competition
/ Cost control
/ Decision making
/ Efficiency
/ Electronic commerce
/ Financial institutions
/ Funding
/ Peer to peer lending
/ Performance prediction
/ Streamlining
2023
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Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets
Journal Article
Can investors’ collective decision-making evolve? Evidence from peer-to-peer lending markets
2023
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Overview
This study tries to identify the accuracy of individual investors’ capability to predict a borrower’s creditworthiness in peer-to-peer lending markets and examine whether their ability is likely to evolve over time. The results of this study show that there is no significant difference between the predictive power of investors’ ex-ante funding decision model and that of the ex-post repayment model over a borrower’s repayment performance. Furthermore, the predictive power of investors’ ex-ante funding decision over a borrower’s repayment performance is shown to improve over time. It is also found that the main reason why investors’ predictive power improves over time is because investors can assess more accurately the information provided by the platform operator and describe the borrower's characteristics. The results of this study are important as they confirm the possibility of optimizing and streamlining the P2P lending market, through the evolution of investors’ decision making.
Publisher
Springer Nature B.V
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