IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v14y2022i18p11624-d916511.html
   My bibliography  Save this article

Private Information Dissemination and Noise Trading: Implications for Price Efficiency and Market Liquidity

Author

Listed:
  • Huan Liu

    (School of Economic and Management, Shanxi University, Taiyuan 030006, China)

  • Weiqi Liu

    (School of Economic and Management, Shanxi University, Taiyuan 030006, China)

  • Yi Li

    (School of Statistics, Shanxi University of Finance and Economics, Taiyuan 030006, China)

Abstract

Information is the basis for the sustainable and stable development of financial markets. Advanced internet technology has accelerated the dissemination of information. To investigate the impacts of private information dissemination on the sustainability of the financial market, we construct a rational expectation equilibrium (REE) model. The dissemination of private information favors noise traders who receive private information and weakens the advantage of informed traders who have direct access to private information, thus reducing noise-driven volatility and increasing fundamental-driven volatility, which is not conducive to the sustainability and stability of the financial market. Private information dissemination increases information asymmetry, reduces the number of noise traders in the market, decreases market liquidity, and hurts price efficiency for both exogenous and endogenous information acquisition, which is harmful to the sustainability of the financial market. Additionally, we numerically analyze the effects of private information on noise traders, market liquidity, and price efficiency. The numerical results are consistent with the theoretical analysis. The findings highlight the potential of private information dissemination to noise traders in financial market analysis. This study contributes to the analysis of financial market sustainability.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:18:p:11624-:d:916511
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/14/18/11624/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/14/18/11624/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lauren Cohen & Andrea Frazzini & Christopher Malloy, 2008. "The Small World of Investing: Board Connections and Mutual Fund Returns," Journal of Political Economy, University of Chicago Press, vol. 116(5), pages 951-979, October.
    2. Zoran Ivkovi & Scott Weisbenner, 2007. "Information Diffusion Effects in Individual Investors' Common Stock Purchases: Covet Thy Neighbors' Investment Choices," The Review of Financial Studies, Society for Financial Studies, vol. 20(4), pages 1327-1357.
    3. Paolo Colla & Antonio Mele, 2010. "Information Linkages and Correlated Trading," The Review of Financial Studies, Society for Financial Studies, vol. 23(1), pages 203-246, January.
    4. Grossman, Sanford J & Stiglitz, Joseph E, 1980. "On the Impossibility of Informationally Efficient Markets," American Economic Review, American Economic Association, vol. 70(3), pages 393-408, June.
    5. Shiller, Robert J, 1989. " Comovements in Stock Prices and Comovements in Dividends," Journal of Finance, American Finance Association, vol. 44(3), pages 719-729, July.
    6. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    7. Van Ness, Bonnie & Van Ness, Robert & Yildiz, Serhat, 2021. "Private information in trades, R2, and large stock price movements," Journal of Banking & Finance, Elsevier, vol. 131(C).
    8. Bing Han & Liyan Yang, 2013. "Social Networks, Information Acquisition, and Asset Prices," Management Science, INFORMS, vol. 59(6), pages 1444-1457, June.
    9. 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.
    10. Seok-Kyun Hur & Chune Young Chung & Chang Liu, 2018. "Is Liquidity Risk Priced? Theory and Evidence," Sustainability, MDPI, vol. 10(6), pages 1-13, May.
    11. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
    12. Azi Ben-Rephael & Zhi Da & Ryan D. Israelsen, 2017. "It Depends on Where You Search: Institutional Investor Attention and Underreaction to News," The Review of Financial Studies, Society for Financial Studies, vol. 30(9), pages 3009-3047.
    13. Steve Waygood, 2011. "How do the capital markets undermine sustainable development? What can be done to correct this?," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 1(1), pages 81-87, February.
    14. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    15. 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.
    16. Thuy Thi Thu Truong & Jungmu Kim, 2019. "Premiums for Non-Sustainable and Sustainable Components of Market Volatility: Evidence from the Korean Stock Market," Sustainability, MDPI, vol. 11(18), pages 1-15, September.
    17. Mark Bowden & Stuart McDonald, 2008. "The Impact of Interaction and Social Learning on Aggregate Expectations," Computational Economics, Springer;Society for Computational Economics, vol. 31(3), pages 289-306, April.
    18. Lei Ruan, 2018. "Research on Sustainable Development of the Stock Market Based on VIX Index," Sustainability, MDPI, vol. 10(11), pages 1-12, November.
    19. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
    20. Veronika K. Pool & Noah Stoffman & Scott E. Yonker, 2015. "The People in Your Neighborhood: Social Interactions and Mutual Fund Portfolios," Journal of Finance, American Finance Association, vol. 70(6), pages 2679-2732, December.
    21. Darrell Duffie & Gustavo Manso, 2007. "Information Percolation in Large Markets," American Economic Review, American Economic Association, vol. 97(2), pages 203-209, May.
    22. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
    23. Verrecchia, Robert E, 1982. "Information Acquisition in a Noisy Rational Expectations Economy," Econometrica, Econometric Society, vol. 50(6), pages 1415-1430, November.
    24. Robert Bloomfield & Maureen O'Hara & Gideon Saar, 2009. "How Noise Trading Affects Markets: An Experimental Analysis," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2275-2302, June.
    25. Andrei, Daniel & Cujean, Julien, 2017. "Information percolation, momentum and reversal," Journal of Financial Economics, Elsevier, vol. 123(3), pages 617-645.
    26. Crego, Julio A., 2020. "Why does public news augment information asymmetries?," Journal of Financial Economics, Elsevier, vol. 137(1), pages 72-89.
    27. Robert J. Shiller, 1989. "Comovements in Stock Prices and Comovements in Dividends," Journal of Finance, American Finance Association, vol. 44(3), pages 719-729, July.
    28. Shefrin, Hersh & Statman, Meir, 1994. "Behavioral Capital Asset Pricing Theory," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(3), pages 323-349, September.
    29. Foerster, Manuel, 2019. "Dynamics of strategic information transmission in social networks," Theoretical Economics, Econometric Society, vol. 14(1), January.
    30. Ahern, Kenneth R., 2017. "Information networks: Evidence from illegal insider trading tips," Journal of Financial Economics, Elsevier, vol. 125(1), pages 26-47.
    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. Lou, Youcheng & Yang, Yaqing, 2023. "Information linkages in a financial market with imperfect competition," Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
    2. Luo, Ronghua & Zhao, Senyang & Zhou, Jing, 2023. "Information network, public disclosure and asset prices," Pacific-Basin Finance Journal, Elsevier, vol. 77(C).
    3. Bing Han & Liyan Yang, 2013. "Social Networks, Information Acquisition, and Asset Prices," Management Science, INFORMS, vol. 59(6), pages 1444-1457, June.
    4. Edward Halim & Yohanes E. Riyanto & Nilanjan Roy, 2019. "Costly Information Acquisition, Social Networks, and Asset Prices: Experimental Evidence," Journal of Finance, American Finance Association, vol. 74(4), pages 1975-2010, August.
    5. Lou, Youcheng & Wang, Shouyang, 2021. "The equivalence of two rational expectations equilibrium economies with different approaches to processing neighbors’ information," Mathematical Social Sciences, Elsevier, vol. 109(C), pages 93-105.
    6. Cahill, Daniel & Ho, Choy Yeing (Chloe) & Yang, Joey W., 2022. "The COVID-19 pandemic: How important is face-to-face interaction for information dissemination?," Global Finance Journal, Elsevier, vol. 54(C).
    7. Cujean, Julien, 2020. "Idea sharing and the performance of mutual funds," Journal of Financial Economics, Elsevier, vol. 135(1), pages 88-119.
    8. Lou, Youcheng & Parsa, Sahar & Ray, Debraj & Li, Duan & Wang, Shouyang, 2019. "Information aggregation in a financial market with general signal structure," Journal of Economic Theory, Elsevier, vol. 183(C), pages 594-624.
    9. Cujean, Julien, 2018. "Idea Sharing and the Performance of Mutual Funds," CEPR Discussion Papers 13111, C.E.P.R. Discussion Papers.
    10. Manela, Asaf, 2014. "The value of diffusing information," Journal of Financial Economics, Elsevier, vol. 111(1), pages 181-199.
    11. Ding, Jing & Fang, Libing & Chen, Shi, 2020. "Mitigating free riding in social networks: The impact of underestimating others’ ability in financial market," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 582-599.
    12. Estrada, Javier, 1994. "Insider trading: regulation, securities markets, and welfare under risk neutrality," UC3M Working papers. Economics 2922, Universidad Carlos III de Madrid. Departamento de Economía.
    13. Ganglmair, Bernhard & Holcomb, Alex & Myung, Noah, 2020. "Expectations of reciprocity when competitors share information: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 170(C), pages 244-267.
    14. Ardalan, Kavous, 1998. "Financial markets with asymmetric information: An expository review of seminal models," International Review of Economics & Finance, Elsevier, vol. 7(1), pages 23-51.
    15. Pasquariello, Paolo, 2014. "Prospect Theory and market quality," Journal of Economic Theory, Elsevier, vol. 149(C), pages 276-310.
    16. Liu, Hongqi & Peng, Cameron & Xiong, Wei A. & Xiong, Wei, 2022. "Taming the bias zoo," Journal of Financial Economics, Elsevier, vol. 143(2), pages 716-741.
    17. 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.
    18. Simone Alfarano & Albert Banal-Estañol & Eva Camacho & Giulia Iori & Burcu Kapar & Rohit Rahi, 2024. "Centralized vs decentralized markets: The role of connectivity," Economics Working Papers 1877, Department of Economics and Business, Universitat Pompeu Fabra.
    19. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    20. Xue, Hao & Zheng, Ronghuo, 2021. "Word-of-mouth communication, noise-driven volatility, and public disclosure," Journal of Accounting and Economics, Elsevier, vol. 71(1).

    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:jsusta:v:14:y:2022:i:18:p:11624-:d:916511. 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.