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Herding in Equity Crowdfunding

Author

Listed:
  • Astebro, Thomas
  • Fernández, Manuel
  • Cadena-Silva, Carlos
  • Vulkan, Nir
Abstract
Do equity crowdfunding investors rationally or irrationally herd? We build a model of rational information aggregation where both informed and uninformed investors arrive sequentially and rationally choose whether and how much to invest. We compare the predictions of the model to several alternative models of irrational herding and no herding, and test those predictions using data on all investments on a leading European equity crowdfunding platform. We show empirically that the size and likelihood of a pledge is causally affected by the size of the most recent pledge, and by the time elapsed since the most recent pledge. These results are consistent with rational information aggregation, and inconsistent with naive herding, independent investments, and common information shocks. However, there is still room for negative information cascades to occur. Implications for platform design and regulatory actions are discussed.

Suggested Citation

  • Astebro, Thomas & Fernández, Manuel & Cadena-Silva, Carlos & Vulkan, Nir, 2020. "Herding in Equity Crowdfunding," Working papers 34, Red Investigadores de Economía.
  • Handle: RePEc:rie:riecdt:34
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    References listed on IDEAS

    as
    1. Zaggl, Michael A. & Block, Joern, 2019. "Do small funding amounts lead to reverse herding? A field experiment in reward-based crowdfunding," Journal of Business Venturing Insights, Elsevier, vol. 12(C).
    2. Massimo G. Colombo & Chiara Franzoni & Cristina Rossi–Lamastra, 2015. "Internal Social Capital and the Attraction of Early Contributions in Crowdfunding," Entrepreneurship Theory and Practice, , vol. 39(1), pages 75-100, January.
    3. Zoran Ivkovi & Scott Weisbenner, 2007. "Information Diffusion Effects in Individual Investors' Common Stock Purchases: Covet Thy Neighbors' Investment Choices," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1327-1357.
    4. Avery, Christopher & Zemsky, Peter, 1998. "Multidimensional Uncertainty and Herd Behavior in Financial Markets," American Economic Review, American Economic Association, vol. 88(4), pages 724-748, September.
    5. Jean-Paul Decamps & Stefano Lovo, 2006. "A note on risk aversion and herd behavior in financial markets," The Geneva Papers on Risk and Insurance Theory, Springer;International Association for the Study of Insurance Economics (The Geneva Association), vol. 31(1), pages 35-42, July.
    6. Boğaçhan Çelen & Shachar Kariv, 2005. "An experimental test of observational learning under imperfect information," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(3), pages 677-699, October.
    7. Banerjee, Abhijit & Jackson, Matthew O. & Duflo, Esther & Chandrasekhar, Arun G., 2012. "The Diffusion of Microfinance," CEPR Discussion Papers 8770, C.E.P.R. Discussion Papers.
    8. Liang Chen & Zihong Huang & De Liu, 2016. "Pure and hybrid crowds in crowdfunding markets," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 2(1), pages 1-18, December.
    9. John Beshears & James J. Choi & David Laibson & Brigitte C. Madrian & Katherine L. Milkman, 2015. "The Effect of Providing Peer Information on Retirement Savings Decisions," Journal of Finance, American Finance Association, vol. 70(3), pages 1161-1201, June.
    10. Esther Duflo & Emmanuel Saez, 2003. "The Role of Information and Social Interactions in Retirement Plan Decisions: Evidence from a Randomized Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 815-842.
    11. Herrera, Helios & Hörner, Johannes, 2013. "Biased social learning," Games and Economic Behavior, Elsevier, vol. 80(C), pages 131-146.
    12. Geng Li, 2014. "Information Sharing and Stock Market Participation: Evidence from Extended Families," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 151-160, March.
    13. Ellman, Matthew & Hurkens, Sjaak, 2019. "Optimal crowdfunding design," Journal of Economic Theory, Elsevier, vol. 184(C).
    14. Gilles Chemla & Katrin Tinn, 2020. "Learning Through Crowdfunding," Management Science, INFORMS, vol. 66(5), pages 1783-1801, May.
    15. Roland Strausz, 2017. "A Theory of Crowdfunding: A Mechanism Design Approach with Demand Uncertainty and Moral Hazard," American Economic Review, American Economic Association, vol. 107(6), pages 1430-1476, June.
    16. Leonardo Bursztyn & Florian Ederer & Bruno Ferman & Noam Yuchtman, 2014. "Understanding Mechanisms Underlying Peer Effects: Evidence From a Field Experiment on Financial Decisions," Econometrica, Econometric Society, vol. 82(4), pages 1273-1301, July.
    17. Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
    18. repec:bla:jfinan:v:59:y:2004:i:1:p:137-163 is not listed on IDEAS
    19. Andreas Park & Hamid Sabourian, 2011. "Herding and Contrarian Behavior in Financial Markets," Econometrica, Econometric Society, vol. 79(4), pages 973-1026, July.
    20. Welch, Ivo, 1992. "Sequential Sales, Learning, and Cascades," Journal of Finance, American Finance Association, vol. 47(2), pages 695-732, June.
    21. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2005. "Thy Neighbor's Portfolio: Word‐of‐Mouth Effects in the Holdings and Trades of Money Managers," Journal of Finance, American Finance Association, vol. 60(6), pages 2801-2824, December.
    22. Mollick, Ethan, 2014. "The dynamics of crowdfunding: An exploratory study," Journal of Business Venturing, Elsevier, vol. 29(1), pages 1-16.
    23. Abhijit V. Banerjee, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 107(3), pages 797-817.
    24. Lones Smith & Peter Sorensen, 2000. "Pathological Outcomes of Observational Learning," Econometrica, Econometric Society, vol. 68(2), pages 371-398, March.
    25. Hornuf, Lars & Schwienbacher, Armin, 2018. "Market mechanisms and funding dynamics in equity crowdfunding," Journal of Corporate Finance, Elsevier, vol. 50(C), pages 556-574.
    26. Bogaçhan Çelen & Shachar Kariv, 2004. "Distinguishing Informational Cascades from Herd Behavior in the Laboratory," American Economic Review, American Economic Association, vol. 94(3), pages 484-498, June.
    27. Vulkan, Nir & Åstebro, Thomas & Sierra, Manuel Fernandez, 2016. "Equity crowdfunding: A new phenomena," Journal of Business Venturing Insights, Elsevier, vol. 5(C), pages 37-49.
    28. Jeffrey R. Brown & Zoran Ivković & Paul A. Smith & Scott Weisbenner, 2008. "Neighbors Matter: Causal Community Effects and Stock Market Participation," Journal of Finance, American Finance Association, vol. 63(3), pages 1509-1531, June.
    29. Strausz, Roland, 2017. "A Theory of Crowdfunding," Rationality and Competition Discussion Paper Series 2, CRC TRR 190 Rationality and Competition.
    30. Juanjuan Zhang & Peng Liu, 2012. "Rational Herding in Microloan Markets," Management Science, INFORMS, vol. 58(5), pages 892-912, May.
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    Cited by:

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    2. Kim, Jin-Hyuk & Newberry, Peter & Qiu, Calvin, 2022. "The role of information signals in determining crowdfunding outcomes," Journal of Empirical Finance, Elsevier, vol. 67(C), pages 168-181.
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    More about this item

    Keywords

    Equity crowdfunding; Herding;

    JEL classification:

    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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