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Overconfidence and disposition effect in the stock market : A micro world based setting

Author

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  • Cristian Trejos

    (EM - EMLyon Business School)

  • Adrian van Deemen
  • Yeny E. Rodriguez
  • Juan M. Gomez

Abstract

Modern financial theory relies on the rationality assumption of investors even though, evidence suggests that market investors are affected by behavioural biases such as overconfidence and disposition effect. Overconfident investors perceive situations better than what they actually are, while investors exhibiting disposition effect tend to dispose winner shares and keep loser ones. However there is not clear causal relationship between both biases. We contribute to the literature about overconfidence and its relationship with the disposition effect, using a simulation model often named micro world, representing an artificial financial stock market. We propose a methodology combining qualitative (QCA) and quantitative (Logistic Regression) techniques to correlate transactions' outcomes with investors' characteristics. Results suggest that overconfidence is explained by gender, career and education level, while age, nationality, and profits are not significant variables. We also confirm that investors exhibiting disposition effect are more prone to be overconfident.

Suggested Citation

  • Cristian Trejos & Adrian van Deemen & Yeny E. Rodriguez & Juan M. Gomez, 2019. "Overconfidence and disposition effect in the stock market : A micro world based setting," Post-Print hal-02312273, HAL.
  • Handle: RePEc:hal:journl:hal-02312273
    Note: View the original document on HAL open archive server: https://hal.science/hal-02312273
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    References listed on IDEAS

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    Cited by:

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    3. TOMA, Filip-Mihai & CEPOI, Cosmin-Octavian & NEGREA, Bogdan, 2021. "Does it payoff to be overconfident? Evidence from an emerging market – a quantile regression approach," Finance Research Letters, Elsevier, vol. 38(C).
    4. Dela Cruz, Aeson Luiz & Patel, Chris & Ying, Sammy & Pan, Peipei, 2020. "The relevance of professional skepticism to finance professionals’ Socially Responsible Investing decisions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    5. Kumar, Satish & Rao, Sandeep & Goyal, Kirti & Goyal, Nisha, 2022. "Journal of Behavioral and Experimental Finance: A bibliometric overview," Journal of Behavioral and Experimental Finance, Elsevier, vol. 34(C).
    6. Kahya, Evrim Hilal & Ekinci, Cumhur, 2022. "Disposition bias among Borsa Istanbul investors: What do we know about type, size and trading frequency?," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    7. Md Qamar Azam & Nazia Iqbal Hashmi & Iqbal Thonse Hawaldar & Md Shabbir Alam & Mirza Allim Baig, 2022. "The COVID-19 Pandemic and Overconfidence Bias: The Case of Cyclical and Defensive Sectors," Risks, MDPI, vol. 10(3), pages 1-15, March.

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