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Learning, Cascades, and Transaction Costs

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  • Maria Grazia Romano

Abstract

The paper analyzes the effect of transaction costs on social learning in an asset market with asymmetric information, sequential trading, and a competitive price mechanism. Both fixed and proportional transaction costs reduce the information content of trading orders and lead to informational cascades. If transaction costs are very high, an informational cascade may occur not only when beliefs converge on a specific asset value but also when there is extreme uncertainty about the asset's fundamental value. Finally, if the value in the bad state is sufficiently low, proportional transaction costs lead to an informational cascade only when prices are very high. Copyright 2007, Oxford University Press.

Suggested Citation

  • Maria Grazia Romano, 2007. "Learning, Cascades, and Transaction Costs," Review of Finance, European Finance Association, vol. 11(3), pages 527-560.
    • Handle: RePEc:oup:revfin:v:11:y:2007:i:3:p:527-560
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    File URL: http://hdl.handle.net/10.1093/rof/rfm011
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    Cited by:

    1. Cipriani, Marco & Guarino, Antonio, 2008. "Transaction costs and informational cascades in financial markets," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 581-592, December.
    2. Economou, Fotini & Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Yordanov, Nikolay, 2015. "Do fund managers herd in frontier markets — and why?," International Review of Financial Analysis, Elsevier, vol. 40(C), pages 76-87.
    3. Christophe Chamley, 2005. "Complementarities in Information Acquisition with Short-Term Trades," Boston University - Department of Economics - Working Papers Series WP2005-027, Boston University - Department of Economics.
    4. Arina Nikandrova, 2014. "Informational and Allocative Efficiency in Financial Markets with Costly Information," Birkbeck Working Papers in Economics and Finance 1403, Birkbeck, Department of Economics, Mathematics & Statistics.
    5. Gavriilidis, Konstantinos & Kallinterakis, Vasileios & Ferreira, Mario Pedro Leite, 2013. "Institutional industry herding: Intentional or spurious?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 26(C), pages 192-214.
    6. Park, Jin Suk & Newaz, Mohammad Khaleq, 2021. "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, vol. 50(C).
    7. Joohyun Kim & Ohsung Kwon & Duk Hee Lee, 2019. "Observing Cascade Behavior Depending on the Network Topology and Transaction Costs," Computational Economics, Springer;Society for Computational Economics, vol. 53(1), pages 207-225, January.
    8. Hirshleifer, David & Teoh, Siew Hong, 2008. "Thought and Behavior Contagion in Capital Markets," MPRA Paper 9164, University Library of Munich, Germany.
    9. Zikai Xu, 2022. "Observational Learning with Competitive Prices," Papers 2202.06425, arXiv.org, revised May 2022.
    10. Andrikopoulos, Panagiotis & Gebka, Bartosz & Kallinterakis, Vasileios, 2021. "Regulatory mood-congruence and herding: Evidence from cannabis stocks," Journal of Economic Behavior & Organization, Elsevier, vol. 185(C), pages 842-864.
    11. Maria Grazia Romano, 2009. "Institutional Trades and Herd Behavior in Financial Markets," CSEF Working Papers 215, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy.
    12. Sushil Bikhchandani & David Hirshleifer & Omer Tamuz & Ivo Welch, 2024. "Information Cascades and Social Learning," Journal of Economic Literature, American Economic Association, vol. 62(3), pages 1040-1093, September.
    13. Christophe Chamley, 2005. "Complementarities in Information Acquisition with Short-Term Trades," Boston University - Department of Economics - The Institute for Economic Development Working Papers Series dp-156, Boston University - Department of Economics.

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