2018
DOI: 10.1080/07421222.2018.1440770
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Investor Platform Choice: Herding, Platform Attributes, and Regulations

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Cited by 117 publications
(67 citation statements)
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References 33 publications
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“…Jiang et al . () also reveal that government regulatory events dampen the magnitude of the herding effect. In an empirical analysis of peer‐to‐peer (P2P) lending platforms, Xu and Chau () observe that cheap talk may lead to rational herding behaviour among P2P loan funders.…”
Section: Developments In Fintech Researchmentioning
confidence: 89%
See 1 more Smart Citation
“…Jiang et al . () also reveal that government regulatory events dampen the magnitude of the herding effect. In an empirical analysis of peer‐to‐peer (P2P) lending platforms, Xu and Chau () observe that cheap talk may lead to rational herding behaviour among P2P loan funders.…”
Section: Developments In Fintech Researchmentioning
confidence: 89%
“…Analysing unique information on 127 P2P lending platforms via a large Chinese‐language market aggregator's website, Jiang et al . () examine the extent to which P2P lending exhibits patterns that can be explained by rational herding theory. They find that herding exists at the platform level: the previous lending behaviour of other prior investors does indeed influence their choice of platform for subsequent loans.…”
Section: Developments In Fintech Researchmentioning
confidence: 99%
“…Ge R et al(2017) believe that borrowers' choice to self-disclose their social media account and social media presence acts act as signals of borrowers' creditworthiness and predict their default probability [8]. Jiang Y et al(2018) find that government regulatory events restrict the herding effect, suggesting that more information disclosure and stricter operation standards reduce the value of observational learning after studying the herding behaviors of investors when choosing which platform to invest [9]. From the literature above, it's easy to find that the research on information disclosure in P2P online lending mainly focuses on the importance and significance of information disclosure to improve the success rate of borrowing and enhance the trust of the platform from the perspective of borrowers and platforms, while few studies focus on the specific implementation mechanism of information disclosure.…”
Section: Related Literaturementioning
confidence: 99%
“…We apply a quantile regression to examine whether such a relationship exhibits a systematic change. Quantile regression is first proposed by Koenker and Bassett [51] and, more recently, is employed to study stock return autocorrelations [52], research the effect of investor sentiment on stock returns [53], and examine the relationship between the magnitude of the herding effect and the number of investors [54]. In this paper, the quantiles including 5%, 10%, 25%, 50%, 75%, and 90% are chosen to conduct the quantile regression analysis.…”
Section: Quantile Regressionmentioning
confidence: 99%