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Information sharing in a perfectly competitive market

Author

Listed:
  • Yang, Yaqing
  • Lou, Youcheng

Abstract

We consider a large rational expectations economy where traders can share information with each other via an information network and investigate the impact of network connectedness on market equilibrium outcomes. We find that in the equilibrium with endogenous information, increasing network connectedness increases the total information in the market and trading volume, improves market efficiency, and enhances liquidity if and only if the market is sufficiently informationally efficient. Additionally, we provide a necessary and sufficient condition on the monotonicity of traders’ welfare over network connectedness. We also show that the implications in the baseline model also hold for some extensions.

Suggested Citation

  • Yang, Yaqing & Lou, Youcheng, 2024. "Information sharing in a perfectly competitive market," The North American Journal of Economics and Finance, Elsevier, vol. 69(PA).
    • Handle: RePEc:eee:ecofin:v:69:y:2024:i:pa:s1062940823001389
    DOI: 10.1016/j.najef.2023.102015
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    References listed on IDEAS

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    1. 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.
    2. 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.
    3. Ozsoylev, Han N. & Walden, Johan, 2011. "Asset pricing in large information networks," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2252-2280.
    4. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    5. 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.
    6. Han N. Ozsoylev & Johan Walden & M. Deniz Yavuz & Recep Bildik, 2014. "Investor Networks in the Stock Market," The Review of Financial Studies, Society for Financial Studies, vol. 27(5), pages 1323-1366.
    7. 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.
    8. Albert S. Kyle, 1989. "Informed Speculation with Imperfect Competition," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(3), pages 317-355.
    9. Harrison Hong & Jeffrey D. Kubik & Jeremy C. Stein, 2005. "Thy Neighbor's Portfolio: Word‐of‐Mouth Effects in the Holdings and Trades of Money Managers," Journal of Finance, American Finance Association, vol. 60(6), pages 2801-2824, December.
    10. Bing Han & Liyan Yang, 2013. "Social Networks, Information Acquisition, and Asset Prices," Management Science, INFORMS, vol. 59(6), pages 1444-1457, June.
    11. Johan Walden, 2019. "Trading, Profits, and Volatility in a Dynamic Information Network Model," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 86(5), pages 2248-2283.
    12. Verrecchia, Robert E, 1982. "Information Acquisition in a Noisy Rational Expectations Economy," Econometrica, Econometric Society, vol. 50(6), pages 1415-1430, November.
    13. 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.
    14. repec:bla:jfinan:v:59:y:2004:i:5:p:2117-2144 is not listed on IDEAS
    15. Jeffrey R. Brown & Zoran Ivković & Paul A. Smith & Scott Weisbenner, 2008. "Neighbors Matter: Causal Community Effects and Stock Market Participation," Journal of Finance, American Finance Association, vol. 63(3), pages 1509-1531, June.
    16. 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.
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    More about this item

    Keywords

    Rational expectations equilibrium; Information sharing; Network connectedness; Welfare;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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