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Dampening effect and market efficiency

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  • Guo, Mng

Abstract

The way informed traders use their privileged information affects the properties of asset prices. This paper analyzes the differences in market efficiency between the two most widely adopted informed trading paradigms (Grossman-Stiglitz-style and Kyle-style) in a unified three-period framework. The aggregate risk—the product of fundamental risk, liquidity trading risk, and traders’ risk aversion coefficient—uniquely determines three measures of market efficiencies, including price informativeness, return autocorrelations, and the unconditional expected utilities of uninformed market makers. In the Kyle-style model, a self-reinforcing dampening effect arises from informed traders’ trading on fundamental information and non-fundamental information about their prior positions, leading to less efficient markets, contrarian trading by informed traders, and a return reversal between the two trading periods. Our study proposes to estimate price informativeness using information from short-term return reversals.

Suggested Citation

  • Guo, Mng, 2023. "Dampening effect and market efficiency," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
  • Handle: RePEc:eee:dyncon:v:148:y:2023:i:c:s0165188923000106
    DOI: 10.1016/j.jedc.2023.104604
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    1. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1993. "Trading Volume and Serial Correlation in Stock Returns," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 108(4), pages 905-939.
    2. Markus K. Brunnermeier & Lasse Heje Pedersen, 2009. "Market Liquidity and Funding Liquidity," The Review of Financial Studies, Society for Financial Studies, vol. 22(6), pages 2201-2238, June.
    3. Jean-Charles Rochet & Jean-Luc Vila, 1994. "Insider Trading without Normality," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 61(1), pages 131-152.
    4. Paul A. Gompers & Andrew Metrick, 2001. "Institutional Investors and Equity Prices," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(1), pages 229-259.
    5. Minh Chau & Dimitri Vayanos, 2008. "Strong-Form Efficiency with Monopolistic Insiders," The Review of Financial Studies, Society for Financial Studies, vol. 21(5), pages 2275-2306, September.
    6. Xuemin (Sterling) Yan & Zhe Zhang, 2009. "Institutional Investors and Equity Returns: Are Short-term Institutions Better Informed?," The Review of Financial Studies, Society for Financial Studies, vol. 22(2), pages 893-924, February.
    7. Dimitri Vayanos & Jiang Wang, 2012. "Liquidity and Asset Returns Under Asymmetric Information and Imperfect Competition," The Review of Financial Studies, Society for Financial Studies, vol. 25(5), pages 1339-1365.
    8. repec:bla:jfinan:v:43:y:1988:i:3:p:617-37 is not listed on IDEAS
    9. 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.
    10. Gromb, Denis & Vayanos, Dimitri, 2002. "Equilibrium and welfare in markets with financially constrained arbitrageurs," Journal of Financial Economics, Elsevier, vol. 66(2-3), pages 361-407.
    11. Pierre Collin‐Dufresne & Vyacheslav Fos, 2016. "Insider Trading, Stochastic Liquidity, and Equilibrium Prices," Econometrica, Econometric Society, vol. 84(4), pages 1441-1475, July.
    12. Jegadeesh, Narasimhan, 1990. "Evidence of Predictable Behavior of Security Returns," Journal of Finance, American Finance Association, vol. 45(3), pages 881-898, July.
    13. Jiang Wang, 1993. "A Model of Intertemporal Asset Prices Under Asymmetric Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(2), pages 249-282.
    14. Mark S. Seasholes & Terrence Hendershott, 2007. "Market Maker Inventories and Stock Prices," American Economic Review, American Economic Association, vol. 97(2), pages 210-214, May.
    15. Amihud, Yakov & Mendelson, Haim, 1986. "Asset pricing and the bid-ask spread," Journal of Financial Economics, Elsevier, vol. 17(2), pages 223-249, December.
    16. Grossman, S.J. & Miller, M.H., 1988. "Liquidity And Market Structure," Papers 88, Princeton, Department of Economics - Financial Research Center.
    17. Dimitri Vayanos, 2001. "Strategic Trading in a Dynamic Noisy Market," Journal of Finance, American Finance Association, vol. 56(1), pages 131-171, February.
    18. Chordia, Tarun & Subrahmanyam, Avanidhar, 2004. "Order imbalance and individual stock returns: Theory and evidence," Journal of Financial Economics, Elsevier, vol. 72(3), pages 485-518, June.
    19. Tobias Adrian & Erkko Etula & Tyler Muir, 2014. "Financial Intermediaries and the Cross-Section of Asset Returns," Journal of Finance, American Finance Association, vol. 69(6), pages 2557-2596, December.
    20. Ming Guo & Hui Ou-Yang, 2015. "Feedback Trading between Fundamental and Nonfundamental Information," The Review of Financial Studies, Society for Financial Studies, vol. 28(1), pages 247-296.
    21. Chan, Kalok & Chan, Yue-Cheong, 2014. "Price informativeness and stock return synchronicity: Evidence from the pricing of seasoned equity offerings," Journal of Financial Economics, Elsevier, vol. 114(1), pages 36-53.
    22. 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.
    23. 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.
    24. Dasgupta, Sudipto & Gan, Jie & Gao, Ning, 2010. "Transparency, Price Informativeness, and Stock Return Synchronicity: Theory and Evidence," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(5), pages 1189-1220, October.
    25. Chordia, Tarun & Goyal, Amit & Jegadeesh, Narasimhan, 2016. "Buyers versus Sellers: Who Initiates Trades, and When?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 51(5), pages 1467-1490, October.
    26. Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1996. "Cream-Skimming or Profit-Sharing? The Curious Role of Purchased Order Flow," Journal of Finance, American Finance Association, vol. 51(3), pages 811-833, July.
    27. Albert S Kyle & Anna A Obizhaeva & Yajun Wang, 2018. "Smooth Trading with Overconfidence and Market Power," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 85(1), pages 611-662.
    28. Bruce N. Lehmann, 1990. "Fads, Martingales, and Market Efficiency," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 105(1), pages 1-28.
    29. Pierre Collin‐Dufresne & Vyacheslav Fos, 2016. "Insider Trading, Stochastic Liquidity, and Equilibrium Prices," Econometrica, Econometric Society, vol. 84, pages 1441-1475, July.
    30. John Y. Campbell & Albert S. Kyle, 1993. "Smart Money, Noise Trading and Stock Price Behaviour," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 60(1), pages 1-34.
    31. Nicolas S. Lambert & Michael Ostrovsky & Mikhail Panov, 2018. "Strategic Trading in Informationally Complex Environments," Econometrica, Econometric Society, vol. 86(4), pages 1119-1157, July.
    32. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "Liquidity and Autocorrelations in Individual Stock Returns," Journal of Finance, American Finance Association, vol. 61(5), pages 2365-2394, October.
    33. Giovanni Cespa, 2008. "Information Sales and Insider Trading with Long‐Lived Information," Journal of Finance, American Finance Association, vol. 63(2), pages 639-672, April.
    34. Kerry Back & Francois Cocquemas & Ibrahim Ekren & Abraham Lioui, 2020. "Optimal Transport and Risk Aversion in Kyle's Model of Informed Trading," Papers 2006.09518, arXiv.org, revised Aug 2021.
    35. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    36. So, Eric C. & Wang, Sean, 2014. "News-driven return reversals: Liquidity provision ahead of earnings announcements," Journal of Financial Economics, Elsevier, vol. 114(1), pages 20-35.
    37. Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. "Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-181, March.
    38. Cheng, Si & Hameed, Allaudeen & Subrahmanyam, Avanidhar & Titman, Sheridan, 2017. "Short-Term Reversals: The Effects of Past Returns and Institutional Exits," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 52(1), pages 143-173, February.
    39. Back, Kerry, 1992. "Insider Trading in Continuous Time," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 387-409.
    40. Petri Jylhä & Kalle Rinne & Matti Suominen, 2014. "Do Hedge Funds Supply or Demand Liquidity?," Review of Finance, European Finance Association, vol. 18(4), pages 1259-1298.
    41. Itay Goldstein & Liyan Yang, 2015. "Information Diversity and Complementarities in Trading and Information Acquisition," Journal of Finance, American Finance Association, vol. 70(4), pages 1723-1765, August.
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    More about this item

    Keywords

    Grossman-Stiglitz-style and kyle-style models; Dampening effect; Price informativeness and short-term return reversals; Contrarian trading; Aggregate risk;
    All these keywords.

    JEL classification:

    • D4 - Microeconomics - - Market Structure, Pricing, and Design
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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