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Overconfidence and Investor Size

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  • Anders Ekholm
  • Daniel Pasternack

Abstract

Recent research documents that institutional or large investors act as antagonists to other investors by showing opposite trading behaviour following the disclosure of new information. Using an extremely comprehensive official transactions data set from Finland, we set out to explore the interrelation between investor size and behaviour. More specifically, we test whether investor size is positively (negatively) correlated with investor reaction following positive (negative) news. We document robust evidence of that investor size affects investor behaviour under new information, as larger investors on average react more positively (negatively) to good (bad) news than smaller investors. We furthermore find that the performance of smaller, or more overconfident, investors is in general hurt by their behaviour.

Suggested Citation

  • Anders Ekholm & Daniel Pasternack, 2008. "Overconfidence and Investor Size," European Financial Management, European Financial Management Association, vol. 14(1), pages 82-98, January.
  • Handle: RePEc:bla:eufman:v:14:y:2008:i:1:p:82-98
    DOI: 10.1111/j.1468-036X.2007.00405.x
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    References listed on IDEAS

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    Cited by:

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    2. Radi, Sherrihan & Gebka, Bartosz & Kallinterakis, Vasileios, 2024. "The wisdom of the madness of crowds: Investor herding, anti-herding, and stock-bond return correlation," Journal of Economic Behavior & Organization, Elsevier, vol. 224(C), pages 966-995.
    3. David Blake & Tom Boardman, 2014. "Spend More Today Safely: Using Behavioral Economics to Improve Retirement Expenditure Decisions With SPEEDOMETER Plans," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 17(1), pages 83-112, March.
    4. Wang, Qian & Yang, Xiao, 2024. "Towards carbon neutrality: The role of innovation and resources efficiency in China's economic transformation," Resources Policy, Elsevier, vol. 91(C).
    5. Xue, Wen-Jun & Zhang, Li-Wen, 2017. "Stock return autocorrelations and predictability in the Chinese stock market—Evidence from threshold quantile autoregressive models," Economic Modelling, Elsevier, vol. 60(C), pages 391-401.
    6. Palomino, Frederic & Sadrieh, Abdolkarim, 2011. "Overconfidence and delegated portfolio management," Journal of Financial Intermediation, Elsevier, vol. 20(2), pages 159-177, April.
    7. Sangita Choudhary & Mohit Yadav & Anugamini Priya Srivastava, 2024. "Cognitive Biases Among Millennial Indian Investors: Do Personality and Demographic Factors Matter?," FIIB Business Review, , vol. 13(1), pages 106-117, January.
    8. Goodfellow, Christiane & Bohl, Martin T. & Gebka, Bartosz, 2009. "Together we invest? Individual and institutional investors' trading behaviour in Poland," International Review of Financial Analysis, Elsevier, vol. 18(4), pages 212-221, September.
    9. Wen-Jun Xue & Li-Wen Zhang, 2016. "Stock Return Autocorrelations and Predictability in the Chinese Stock Market: Evidence from Threshold Quantile Autoregressive Models," Working Papers 1605, Florida International University, Department of Economics.
    10. Ahmad Fawwaz Mohd Nasarudin & Bany Ariffin Amin Noordin & Siong Hook Law & Mohd Hisham Yahya, 2017. "Investigation of Herding Behaviour in Developed and Developing Countries: Does Country Governance Factor Matters?," Capital Markets Review, Malaysian Finance Association, vol. 25(2), pages 1-14.
    11. Forman, John & Horton, Joanne, 2019. "Overconfidence, position size, and the link to performance," Journal of Empirical Finance, Elsevier, vol. 53(C), pages 291-309.
    12. Jiayu Huang & Yifan Wang & Yaojun Fan & Hexuan Li, 2022. "Gauging the effect of investor overconfidence on trading volume from the perspective of the relationship between lagged stock returns and current trading volume," International Finance, Wiley Blackwell, vol. 25(1), pages 103-123, April.

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