Theory and Decision

, Volume 75, Issue 1, pp 1–15 | Cite as

Information and ambiguity: herd and contrarian behaviour in financial markets

  • J. L. Ford
  • D. Kelsey
  • W. Pang


The paper studies the impact of informational ambiguity on behalf of informed traders on history-dependent price behaviour in a model of sequential trading in financial markets. Following Chateauneuf et al. (J Econ Theory 137:538–567, 2008), we use neo-additive capacities to model ambiguity. Such ambiguity and attitudes to it can engender herd and contrarian behaviour, and also cause the market to break down. The latter, herd and contrarian behaviour, can be reduced by the existence of a bid-ask spread.


Ambiguity Choquet expected utility Generalised Bayesian update Optimism Herding Contrarian behaviour 

JEL Classification

D81 G15 


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  1. Arrow K. J., Hurwicz L. (1972) An optimality criterion for decision-making under ignorance. In: Carter C. F., Ford J. L. (Eds.), Uncertainty and expectations in economics: Essays in honour of G. L. S. Shackle. Basil Blackwell, Oxford, pp 1–11Google Scholar
  2. Abdellaoui M. (2000) Parameter-free elicitation of utility and probability weighting functions. Management Science 46: 1497–1512CrossRefGoogle Scholar
  3. Avery C., Zemsky P. (1998) Multidimensional uncertainty and herd behaviour in financial markets. The American Economic Review 88: 724–748Google Scholar
  4. Banerjee A. V. (1992) A simple model of herd behavior. The Quarterly Journal of Economics 107: 797–817CrossRefGoogle Scholar
  5. Bikhchandani S., Hirshleifer D., Welch I. (1992) A theory of fads, fashion, custom and cultural change as informational cascades. Journal of Political Economy 5: 992–1027CrossRefGoogle Scholar
  6. Chateauneuf A., Eichberger J., Grant S. (2008) Choice under uncertainty with the best and worst in mind: Neo-additive capacities. Journal of Economic Theory 137: 538–567CrossRefGoogle Scholar
  7. Cipriani, M., & Guarino, A. (2006). Transaction costs and informational cascades in financial markets: Theory and experimental evidence. Working Paper, ELSE, University College London.Google Scholar
  8. Easley D., O’hara M. (1987) Price, trade size, and information in securities markets. Journal of Financial Economics 19: 69–90CrossRefGoogle Scholar
  9. Eichberger J., Grant S., Kelsey D. (2005) CEU preferences and dynamic consistency. Mathematical Social Sciences 49: 143–151CrossRefGoogle Scholar
  10. Eichberger J., Grant S., Kelsey D. (2007) Updating choquet beliefs. Journal of Mathematical Economics 43: 888–899CrossRefGoogle Scholar
  11. Epstein L. G., Schneider M. (2003) Recursive multiple-priors. Journal of Economic Theory 113: 1–31CrossRefGoogle Scholar
  12. Gilboa I. (1987) Expected utility with purely subjective non-additive probabilities. Journal of Mathematical Economics 16: 65–88CrossRefGoogle Scholar
  13. Glosten L. R., Milgrom P. R. (1985) Bid, ask and transaction prices in a specialist market with heterogeneously informed traders. Journal of Financial Economics 14: 71–100CrossRefGoogle Scholar
  14. Hanany E., Klibanoff P. (2007) Updating preferences with multiple priors. Theoretical Economics 2: 261–298Google Scholar
  15. Kelsey D., Kozhan R., Pang W. (2011) Asymmetric momentum effects of uncertainty. Review of Finance 15: 603–631CrossRefGoogle Scholar
  16. Kilka M., Weber M. (2001) What determines the shape of the probability weighting function under uncertainty?. Management Science 47: 1712–1726CrossRefGoogle Scholar
  17. Knight F. H. (1921) Risk, uncertainty, and profit. Houghton Mifflin, New YorkGoogle Scholar
  18. Lakonishok J., Shleifer A., Vishny R. W. (1994) Contrarian investment, extrapolation and risk. Journal of Finance 49: 1541–1578CrossRefGoogle Scholar
  19. Milgrom P., Stokey N. (1982) Information, trade and common knowledge. Journal of Economic Theory 26: 17–27CrossRefGoogle Scholar
  20. O’hara M. (1997) Market microstructure theory. Blackwell, OxfordGoogle Scholar
  21. Sarin R., Wakker P. (1992) A simple axiomatization of non-additive expected utility. Econometrica 60: 1255–1272CrossRefGoogle Scholar
  22. Schmeidler D. (1989) Subjective probability and expected utility without additivity. Econometrica 57: 571–587CrossRefGoogle Scholar
  23. Vives X. (1996) Social learning and rational expectations. European Economic Review 40: 589–601CrossRefGoogle Scholar
  24. Wakker P. (2001) Testing and characterizing properties of nonadditive measures through violations of the sure thing principle. Econometrica 69: 1039–1060CrossRefGoogle Scholar
  25. Zhang X. F. (2006) Information uncertainty and stock returns. Journal of Finance 61: 105–136CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2012

Authors and Affiliations

  1. 1.Department of EconomicsUniversity of BirminghamBirminghamUK
  2. 2.Department of EconomicsUniversity of ExeterExeterUK
  3. 3.School of EconomicsKingston UniversityKingston Upon ThamesUK

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