IDEAS home Printed from https://ideas.repec.org/a/gam/jijfss/v13y2025i2p112-d1680896.html

Analysis of the Behavior of Insider Traders Who Disclose Information to External Traders

Author

Listed:
  • Xingxing Cao

    (College of Mathematics and Statistics, Yili Normal University, Yining 835000, China)

  • Jing Wang

    (College of Mathematics and Statistics, Yili Normal University, Yining 835000, China
    Institute of Applied Mathematics, Yili Normal University, Yining 835000, China)

  • Zhi Yang

    (College of Mathematics and Statistics, Yili Normal University, Yining 835000, China
    Institute of Applied Mathematics, Yili Normal University, Yining 835000, China)

Abstract

This paper establishes an insider trading model under market supervision, which includes four types of trading entities: an insider trader, n external traders, noise traders, and market makers. The insider trader voluntarily discloses information to the external traders during the trading process. The research findings are as follows: (1) strengthening market supervision can significantly reduce the insider’s expected profit and increase the external traders’ expected profits; (2) the optimal market supervision strategy is closely related to the number of external traders; (3) the insider trader tends to disclose low-precision information to maximize their profits; (4) the precision of information disclosed by the insider trader and the intensity of market supervision affect price efficiency and the amount of residual information. The research results provide a basis for how the insider trader discloses information to external traders in market supervision and offer a reference for regulatory authorities to formulate differentiated supervision strategies.

Suggested Citation

  • Xingxing Cao & Jing Wang & Zhi Yang, 2025. "Analysis of the Behavior of Insider Traders Who Disclose Information to External Traders," IJFS, MDPI, vol. 13(2), pages 1-19, June.
    • Handle: RePEc:gam:jijfss:v:13:y:2025:i:2:p:112-:d:1680896
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2227-7072/13/2/112/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2227-7072/13/2/112/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Subrahmanyam, Avanidhar, 1991. "Risk Aversion, Market Liquidity, and Price Efficiency," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 416-441.
    2. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    3. Karthik Balakrishnan & Mary Brooke Billings & Bryan Kelly & Alexander Ljungqvist, 2014. "Shaping Liquidity: On the Causal Effects of Voluntary Disclosure," Journal of Finance, American Finance Association, vol. 69(5), pages 2237-2278, October.
    4. Goenka, Aditya, 2003. "Informed trading and the 'leakage' of information," Journal of Economic Theory, Elsevier, vol. 109(2), pages 360-377, April.
    5. Holden, Craig W. & Subrahmanyam, Avanidhar, 1994. "Risk aversion, imperfect competition, and long-lived information," Economics Letters, Elsevier, vol. 44(1-2), pages 181-190.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Umut c{C}etin & Albina Danilova, 2014. "Markovian Nash equilibrium in financial markets with asymmetric information and related forward-backward systems," Papers 1407.2420, arXiv.org, revised Sep 2016.
    2. Han, Bing & Tang, Ya & Yang, Liyan, 2016. "Public information and uninformed trading: Implications for market liquidity and price efficiency," Journal of Economic Theory, Elsevier, vol. 163(C), pages 604-643.
    3. Gong, Aibo & Ke, Shaowei & Qiu, Yawen & Shen, Rui, 2022. "Robust pricing under strategic trading," Journal of Economic Theory, Elsevier, vol. 199(C).
    4. Wassim Daher & Harun Aydilek & Elias G. Saleeby, 2020. "Insider trading with different risk attitudes," Journal of Economics, Springer, vol. 131(2), pages 123-147, October.
    5. Umut c{C}et{i}n, 2018. "Mathematics of Market Microstructure under Asymmetric Information," Papers 1809.03885, arXiv.org.
    6. Sastry, Ravi & Thompson, Rex, 2019. "Strategic trading with risk aversion and information flow," Journal of Financial Markets, Elsevier, vol. 44(C), pages 1-16.
    7. Huang, Sheng & Maharjan, Johan & Nanda, Vikram, 2024. "Liquid stock as an acquisition currency," Journal of Corporate Finance, Elsevier, vol. 85(C).
    8. Edilio Valentini & Paolo Vitale, 2022. "A Dynamic Oligopoly with Price Stickiness and Risk-Averse Agents," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 8(3), pages 697-718, November.
    9. Vitale, Paolo, 2012. "Risk-averse insider trading in multi-asset sequential auction markets," Economics Letters, Elsevier, vol. 117(3), pages 673-675.
    10. Dev, Pritha, 2013. "Transfer of information by an informed trader," Finance Research Letters, Elsevier, vol. 10(2), pages 58-71.
    11. Gabriel Desgranges & Celine Rochon, 2008. "Conformism, Public News and Market Effciency," OFRC Working Papers Series 2008fe16, Oxford Financial Research Centre.
    12. Lof, Matthijs & van Bommel, Jos, 2023. "Asymmetric information and the distribution of trading volume," Journal of Corporate Finance, Elsevier, vol. 82(C).
    13. Bondarenko, Oleg, 2001. "Competing market makers, liquidity provision, and bid-ask spreads," Journal of Financial Markets, Elsevier, vol. 4(3), pages 269-308, June.
    14. Chiu, Yen-Chen, 2020. "Macroeconomic uncertainty, information competition, and liquidity," Finance Research Letters, Elsevier, vol. 34(C).
    15. Pascual, Roberto & Escribano, Álvaro & Tapia, Mikel, 1999. "How does liquidity behave? A multidimensional analysis of NYSE stocks," DEE - Working Papers. Business Economics. WB 6433, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    16. Huan Liu & Weiqi Liu & Yi Li, 2022. "Private Information Dissemination and Noise Trading: Implications for Price Efficiency and Market Liquidity," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    17. Gabor Pinter & Chaojun Wang & Junyuan Zou, 2024. "Size Discount and Size Penalty: Trading Costs in Bond Markets," The Review of Financial Studies, Society for Financial Studies, vol. 37(7), pages 2156-2190.
    18. Rui Cao & Yongli Zhang, 2021. "Disclosure and Exchange of Inside Information," International Review of Finance, International Review of Finance Ltd., vol. 21(1), pages 183-207, March.
    19. Rahman, Dewan & Kabir, Muhammad & Oliver, Barry, 2021. "Does exposure to product market competition influence insider trading profitability?," Journal of Corporate Finance, Elsevier, vol. 66(C).
    20. Sun, Licheng & Najand, Mohammad & Shen, Jiancheng, 2016. "Stock return predictability and investor sentiment: A high-frequency perspective," Journal of Banking & Finance, Elsevier, vol. 73(C), pages 147-164.

    More about this item

    Keywords

    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijfss:v:13:y:2025:i:2:p:112-:d:1680896. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.