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High price impact trades identication and its implication for volatility and price efficiency

Author

Listed:
  • Dionne, Georges

    (HEC Montreal, Canada Research Chair in Risk Management)

  • Zhou, Xiaozhou

    (University of Quebec at Montreal)

Abstract
We include Limit Order Book (LOB) matchedness as a new trade attribute to identify High Price Impact Trades (HPITs). HPITs are trades associated with large price changes relative to their volume proportion. We show that the inclusion of matchedness provides a finer analysis of the relationship between price contribution and trade categories. We further verify that a stronger presence of HPITs leads to a decline in volatility and improves price efficiency, which suggests a link between HPITs and informed trades.

Suggested Citation

  • Dionne, Georges & Zhou, Xiaozhou, 2024. "High price impact trades identication and its implication for volatility and price efficiency," Working Papers 24-3, HEC Montreal, Canada Research Chair in Risk Management.
    • Handle: RePEc:ris:crcrmw:2024_003
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    References listed on IDEAS

    as
    1. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    2. Feng Gu & Weimin Wang, 2005. "Intangible Assets, Information Complexity, and Analysts' Earnings Forecasts," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9-10), pages 1673-1702.
    3. Dufour, Alfonso & Engle, Robert F, 1999. "Time and the Price Impact of a Trade," University of California at San Diego, Economics Working Paper Series qt62c0h04j, Department of Economics, UC San Diego.
    4. Doron Avramov & Tarun Chordia & Amit Goyal, 2006. "The Impact of Trades on Daily Volatility," The Review of Financial Studies, Society for Financial Studies, vol. 19(4), pages 1241-1277.
    5. Maureen O'Hara & Chen Yao & Mao Ye, 2014. "What's Not There: Odd Lots and Market Data," Journal of Finance, American Finance Association, vol. 69(5), pages 2199-2236, October.
    6. Pierre Collin‐Dufresne & Vyacheslav Fos, 2016. "Insider Trading, Stochastic Liquidity, and Equilibrium Prices," Econometrica, Econometric Society, vol. 84, pages 1441-1475, July.
    7. Natividad Blasco & Pilar Corredor, 2017. "The Information Environment, Informed Trading, and Volatility," Journal of Behavioral Finance, Taylor & Francis Journals, vol. 18(2), pages 202-218, April.
    8. Luca Colombo & Gianluca Femminis & Alessandro Pavan, 2014. "Information Acquisition and Welfare," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 81(4), pages 1438-1483.
    9. Cai, Bill M. & Cai, Charlie X. & Keasey, Kevin, 2006. "Which trades move prices in emerging markets?: Evidence from China's stock market," Pacific-Basin Finance Journal, Elsevier, vol. 14(5), pages 453-466, November.
    10. Pierre Collin‐Dufresne & Vyacheslav Fos, 2016. "Insider Trading, Stochastic Liquidity, and Equilibrium Prices," Econometrica, Econometric Society, vol. 84(4), pages 1441-1475, July.
    11. Alain P. Chaboud & Benjamin Chiquoine & Erik Hjalmarsson & Clara Vega, 2014. "Rise of the Machines: Algorithmic Trading in the Foreign Exchange Market," Journal of Finance, American Finance Association, vol. 69(5), pages 2045-2084, October.
    12. Garvey, Ryan & Wu, Fei, 2014. "Clustering of intraday order-sizes by uninformed versus informed traders," Journal of Banking & Finance, Elsevier, vol. 41(C), pages 222-235.
    13. Hellwig, Martin F., 1980. "On the aggregation of information in competitive markets," Journal of Economic Theory, Elsevier, vol. 22(3), pages 477-498, June.
    14. Dugast, Jérôme & Foucault, Thierry, 2018. "Data abundance and asset price informativeness," Journal of Financial Economics, Elsevier, vol. 130(2), pages 367-391.
    15. Feng Gu & Weimin Wang, 2005. "Intangible Assets, Information Complexity, and Analysts’ Earnings Forecasts," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 32(9‐10), pages 1673-1702, November.
    16. Diamond, Douglas W, 1985. "Optimal Release of Information by Firms," Journal of Finance, American Finance Association, vol. 40(4), pages 1071-1094, September.
    17. 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.
    18. Alexander, Gordon J. & Peterson, Mark A., 2007. "An analysis of trade-size clustering and its relation to stealth trading," Journal of Financial Economics, Elsevier, vol. 84(2), pages 435-471, May.
    19. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    20. repec:bla:jfinan:v:59:y:2004:i:5:p:1957-1978 is not listed on IDEAS
    21. Menkhoff, Lukas & Schmeling, Maik, 2010. "Whose trades convey information? Evidence from a cross-section of traders," Journal of Financial Markets, Elsevier, vol. 13(1), pages 101-128, February.
    22. Clifford A. Ball & Walter N. Torous & Adrian E. Tschoegl, 1985. "The degree of price resolution: The case of the gold market," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 5(1), pages 29-43, March.
    23. Alfonso Dufour & Robert F. Engle, 2000. "Time and the Price Impact of a Trade," Journal of Finance, American Finance Association, vol. 55(6), pages 2467-2498, December.
    24. Snehal Banerjee & Jesse Davis & Naveen Gondhi, 2018. "When Transparency Improves, Must Prices Reflect Fundamentals Better?," The Review of Financial Studies, Society for Financial Studies, vol. 31(6), pages 2377-2414.
    25. Ascioglu, Asli & Comerton-Forde, Carole & McInish, Thomas H., 2011. "Stealth trading: The case of the Tokyo Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 19(2), pages 194-207, April.
    26. Pingyang Gao & Pierre Jinghong Liang, 2013. "Informational Feedback, Adverse Selection, and Optimal Disclosure Policy," Journal of Accounting Research, Wiley Blackwell, vol. 51(5), pages 1133-1158, December.
    27. 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.
    28. Harris, Lawrence, 1991. "Stock Price Clustering and Discreteness," The Review of Financial Studies, Society for Financial Studies, vol. 4(3), pages 389-415.
    29. Rajan, Raghuram & Servaes, Henri, 1997. "Analyst Following of Initial Public Offerings," Journal of Finance, American Finance Association, vol. 52(2), pages 507-529, June.
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    More about this item

    Keywords

    Matched trades; limit order book; price efficiency; price discovery;
    All these keywords.

    JEL classification:

    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • 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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