Herding behaviour in equity crowdfunding and P2P lending markets: A systematic meta-analysis

This paper provides a systematic meta-analysis of empirical research on herding behaviour in equity crowdfunding (ECF) and peer-to-peer (P2P) lending markets. Despite the increasing importance of these fintech-driven entrepreneurial finance models, research on herding remains scattered. Based on a sample of 30 studies, the paper addresses four questions: (1) Is herding behaviour consistently observed in ECF and P2P lending markets? (2) Does herding differ between ECF and P2P lending? (3) Do competing offers impact herding dynamics? (4) Do regional groups (Western vs non-Western countries) and national cultural factors shape herding behaviour? Subgroup analyses reveal that: (1) herding is statistically detectable in these markets, although its magnitude varies widely across studies and contexts; (2) herding is more pronounced in P2P lending than in ECF; (3) herding effects diminish in the presence of competing offerings; (4) herding is more prominent in non-Western markets, with cultural factors also shaping its variation. These findings provide practical insights for platform managers, entrepreneurs, and policymakers. • Herding is detectable in equity crowdfunding and P2P lending. • P2P lending shows stronger herding than equity crowdfunding. • Competing offerings attenuate herding effects across platforms. • Non-Western markets exhibit stronger herding than Western counterparts. • Cultural traits (power distance, collectivism, long-termism) shape herding.

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Publication Details

Journal
International Review of Financial Analysis
Published
2026-01-29
DOI
https://doi.org/10.1016/j.irfa.2026.105101
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
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article

Herding behaviour in equity crowdfunding and P2P lending markets: A systematic meta-analysis

José Manuel Liñares Zegarra, Carmen Gallucci, Riccardo Tipaldi
International Review of Financial Analysis
FinTech, Crowdfunding, Digital Finance
article

Herding behaviour in equity crowdfunding and P2P lending markets: A systematic meta-analysis

José Manuel Liñares Zegarra, Carmen Gallucci, Riccardo Tipaldi
article en

Abstract

This paper provides a systematic meta-analysis of empirical research on herding behaviour in equity crowdfunding (ECF) and peer-to-peer (P2P) lending markets. Despite the increasing importance of these fintech-driven entrepreneurial finance models, research on herding remains scattered. Based on a sample of 30 studies, the paper addresses four questions: (1) Is herding behaviour consistently observed in ECF and P2P lending markets? (2) Does herding differ between ECF and P2P lending? (3) Do competing offers impact herding dynamics? (4) Do regional groups (Western vs non-Western countries) and national cultural factors shape herding behaviour? Subgroup analyses reveal that: (1) herding is statistically detectable in these markets, although its magnitude varies widely across studies and contexts; (2) herding is more pronounced in P2P lending than in ECF; (3) herding effects diminish in the presence of competing offerings; (4) herding is more prominent in non-Western markets, with cultural factors also shaping its variation. These findings provide practical insights for platform managers, entrepreneurs, and policymakers. • Herding is detectable in equity crowdfunding and P2P lending. • P2P lending shows stronger herding than equity crowdfunding. • Competing offerings attenuate herding effects across platforms. • Non-Western markets exhibit stronger herding than Western counterparts. • Cultural traits (power distance, collectivism, long-termism) shape herding.

International Review of Financial AnalysisVol. 111
University of Essex (GB), University of Salerno (IT), IPAG Business School (FR)
Decent work and economic growth
Openalex Percentile: Top 79%
FinTech, Crowdfunding, Digital Finance
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Herding behaviour in equity crowdfunding and P2P lending markets: A systematic meta-analysis — José Manuel Liñares Zegarra, Carmen Gallucci, et al. · International Review of Financial Analysis (2026) | TGRS Research Map | TGRS