IDEAS home Printed from https://ideas.repec.org/p/arx/papers/2201.02983.html
   My bibliography  Save this paper

Market Impact of Small Orders

Author

Listed:
  • Oleh Danyliv

Abstract

The article is an empirical study of market impact through order book events. It describes a mechanism of extracting an average participation rate and a market impact of small orders which represent individual slices of large metaorders. The study is based on tick data for futures contracts. It is shown that the impact could be either linear or a concave function as a function of trading volume, depending on the instrument. After normalisation, this dependency is shown to be very similar for a wide range of instruments. A simple yet effective model for market impact estimation is proposed. This model is linear in nature and is derived based on straightforward microstructure reasoning. The estimation shows satisfactory results for both concave and linear market impact volume dependencies.

Suggested Citation

  • Oleh Danyliv, 2022. "Market Impact of Small Orders," Papers 2201.02983, arXiv.org.
  • Handle: RePEc:arx:papers:2201.02983
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/2201.02983
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Anastasia Bugaenko, 2020. "Empirical Study of Market Impact Conditional on Order-Flow Imbalance," Papers 2004.08290, arXiv.org, revised Apr 2020.
    2. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    3. Gur Huberman & Werner Stanzl, 2004. "Price Manipulation and Quasi-Arbitrage," Econometrica, Econometric Society, vol. 72(4), pages 1247-1275, July.
    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. Samuel N. Cohen & Lukasz Szpruch, 2011. "A limit order book model for latency arbitrage," Papers 1110.4811, arXiv.org.
    2. Oehmke, Martin, 2014. "Liquidating illiquid collateral," Journal of Economic Theory, Elsevier, vol. 149(C), pages 183-210.
    3. Thibault Jaisson, 2014. "Market impact as anticipation of the order flow imbalance," Papers 1402.1288, arXiv.org.
    4. J. Doyne Farmer & Austin Gerig & Fabrizio Lillo & Henri Waelbroeck, 2013. "How efficiency shapes market impact," Quantitative Finance, Taylor & Francis Journals, vol. 13(11), pages 1743-1758, November.
    5. Ningyuan Chen & Steven Kou & Chun Wang, 2018. "A Partitioning Algorithm for Markov Decision Processes with Applications to Market Microstructure," Management Science, INFORMS, vol. 64(2), pages 784-803, February.
    6. Daniel Dorn & Gur Huberman & Paul Sengmueller, 2008. "Correlated Trading and Returns," Journal of Finance, American Finance Association, vol. 63(2), pages 885-920, April.
    7. David Marcos, 2020. "Transaction Costs in Execution Trading," Papers 2007.07998, arXiv.org.
    8. Seungki Min & Costis Maglaras & Ciamac C. Moallemi, 2018. "Cross-Sectional Variation of Intraday Liquidity, Cross-Impact, and their Effect on Portfolio Execution," Papers 1811.05524, arXiv.org.
    9. Hevér, Judit, 2017. "A likviditás és a permanens árhatás szerepe a portfólióértékelésben [The role of liquidity policy and permanent price impact in portfolio valuation]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(6), pages 594-611.
    10. Olivier Guéant, 2016. "The Financial Mathematics of Market Liquidity: From Optimal Execution to Market Making," Post-Print hal-01393136, HAL.
    11. Fabio Caccioli & Jean-Philippe Bouchaud & J. Doyne Farmer, 2012. "A proposal for impact-adjusted valuation: Critical leverage and execution risk," Papers 1204.0922, arXiv.org, revised Aug 2012.
    12. Takayama, Shino, 2021. "Price manipulation, dynamic informed trading, and the uniqueness of equilibrium in sequential trading," Journal of Economic Dynamics and Control, Elsevier, vol. 125(C).
    13. Ozsoylev, Han N. & Takayama, Shino, 2010. "Price, trade size, and information revelation in multi-period securities markets," Journal of Financial Markets, Elsevier, vol. 13(1), pages 49-76, February.
    14. Peter Bank & 'Alvaro Cartea & Laura Korber, 2023. "Optimal execution and speculation with trade signals," Papers 2306.00621, arXiv.org, revised Jul 2023.
    15. Anna Obizhaeva, 2007. "Liquidity Estimates and Selection Bias," Working Papers w0225, Center for Economic and Financial Research (CEFIR).
    16. Albert S Kyle & Anna A Obizhaeva, 2023. "Large Bets and Stock Market Crashes," Review of Finance, European Finance Association, vol. 27(6), pages 2163-2203.
    17. Antje Fruth & Torsten Schöneborn & Mikhail Urusov, 2014. "Optimal Trade Execution And Price Manipulation In Order Books With Time-Varying Liquidity," Mathematical Finance, Wiley Blackwell, vol. 24(4), pages 651-695, October.
    18. Didier SORNETTE, 2014. "Physics and Financial Economics (1776-2014): Puzzles, Ising and Agent-Based Models," Swiss Finance Institute Research Paper Series 14-25, Swiss Finance Institute.
    19. Berry-Stölzle, Thomas R., 2008. "The impact of illiquidity on the asset management of insurance companies," Insurance: Mathematics and Economics, Elsevier, vol. 43(1), pages 1-14, August.
    20. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2012. "Sell-order liquidity and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 105(3), pages 523-541.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:arx:papers:2201.02983. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.