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Insider trading, overconfidence, and private information flow

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  • Jiang, Ying
  • Liu, Hong

Abstract

In this study, we investigate a dynamic model wherein an overconfident and a risk-neutral informed trader optimally exploit their long-lived private information regarding the value of an asset. We find that when the degree of overconfidence becomes larger, or the intensity of private information flow becomes larger relative to the initial private signal, the market becomes more stable. Additionally, we find that the greater the intensity of private information flow relative to the initial private signal, the more evident the patient transaction and the slower the information is incorporated in the price.

Suggested Citation

  • Jiang, Ying & Liu, Hong, 2022. "Insider trading, overconfidence, and private information flow," The North American Journal of Economics and Finance, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:ecofin:v:60:y:2022:i:c:s1062940822000225
    DOI: 10.1016/j.najef.2022.101664
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    References listed on IDEAS

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    Cited by:

    1. Daher, Wassim & Karam, Fida & Ahmed, Naveed, 2023. "Insider Trading with Semi-Informed Traders and Information Sharing: The Stackelberg Game," MPRA Paper 118138, University Library of Munich, Germany.

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    More about this item

    Keywords

    Insider trading; Private information flow; Overconfidence; Asymmetric information;
    All these keywords.

    JEL classification:

    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D43 - Microeconomics - - Market Structure, Pricing, and Design - - - Oligopoly and Other Forms of Market Imperfection

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