Open AccessProceedings Article
Herding Behavior In Online P2P Lending: An Empirical Investigation.
Eunkyoung Lee,Byungtae Lee,Myungsin Chae +2 more
- pp 105
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This article is published in Pacific Asia Conference on Information Systems.The article was published on 2011-01-01 and is currently open access. It has received 235 citations till now.read more
Citations
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Fintech and banking: What do we know?
TL;DR: In this article, a review of the literature on fintech and its interaction with banking is presented, including innovations in payment systems, credit markets, and insurance, with Blockchain-assisted smart contracts playing a role.
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Success drivers of online equity crowdfunding campaigns
TL;DR: The results suggest that the investment decision criteria traditionally used by VCs or business angels are not of prime importance for success in equity crowdfunding, and success is related to pre-selected crowdfunding campaign characteristics and the utilization of private and public networks.
Journal ArticleDOI
Risk assessment in social lending via random forests
TL;DR: Results on data from the popular social lending platform Lending Club indicate the RF-based method outperforms the FICO credit scores as well as LC grades in identification of good borrowers.
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Determinants of Default in P2P Lending
TL;DR: The grade assigned by the P2P lending site is the most predictive factor of default, but the accuracy of the model is improved by adding other information, especially the borrower’s debt level.
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Study on a prediction of P2P network loan default based on the machine learning LightGBM and XGboost algorithms according to different high dimensional data cleaning
TL;DR: It is observed that the LightGBM algorithm based on multiple observational data set classification prediction results is the best and the average performance rate of the historical transaction data of the Lending Club platform rose by 1.28 percentage points, which reduced loan defaults by approximately $117 million.
References
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Journal ArticleDOI
A Simple Model of Herd Behavior
TL;DR: In this article, the authors analyze a sequential decision model in which each decision maker looks at the decisions made by previous decision makers in taking her own decision, and they show that the decision rules that are chosen by optimizing individuals will be characterized by herd behavior.
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Information Asymmetry, Corporate Disclosure and the Capital Markets: A Review of the Empirical Disclosure Literature
TL;DR: Corporate disclosure is critical for the functioning of an efficient capital market as mentioned in this paper, and firms provide disclosure through regulated financial reports, including the financial statements, footnotes, management discussion and analysis, and other regulatory filings.
Posted Content
A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades
TL;DR: It is argued that localized conformity of behavior and the fragility of mass behaviors can be explained by informational cascades.
Posted Content
Frictionless Commerce? A Comparison of Internet and Conventional Retailers
TL;DR: The authors empirically analyzes the characteristics of the Internet as a channel for two categories of homogeneous products (books and CDs) using a data set of over 4,500 price observations collected over a period of 9 months.
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Sequential Sales, Learning, and Cascades
TL;DR: In this article, the authors consider a scenario in which an issuer is selling a new security of uncertain value, for example, an initial public offering (IPO) of stock or high-yield debt, through an underwriter.