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Metaorder modelling and identification from public data

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  • Ezra Goliath
  • Tim Gebbie

Abstract

Market-order flow in financial markets exhibits long-range correlations. This is a widely known stylised fact of financial markets. A popular hypothesis for this stylised fact comes from the Lillo-Mike-Farmer (LMF) order-splitting theory. However, quantitative tests of this theory have historically relied on proprietary datasets with trader identifiers, limiting reproducibility and cross-market validation. We show that the LMF theory can be validated using publicly available Johannesburg Stock Exchange (JSE) data by leveraging recently developed methods for reconstructing synthetic metaorders. We demonstrate the validation using 3 years of Transaction and Quote Data (TAQ) for the largest 100 stocks on the JSE when assuming that there are either N=50 or N=150 effective traders managing metaorders in the market.

Suggested Citation

  • Ezra Goliath & Tim Gebbie, 2026. "Metaorder modelling and identification from public data," Papers 2602.19590, arXiv.org.
    • Handle: RePEc:arx:papers:2602.19590
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    References listed on IDEAS

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    1. Yuki Sato & Kiyoshi Kanazawa, 2023. "Quantitative statistical analysis of order-splitting behaviour of individual trading accounts in the Japanese stock market over nine years," Papers 2308.01112, arXiv.org.
    2. Lillo Fabrizio & Farmer J. Doyne, 2004. "The Long Memory of the Efficient Market," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 8(3), pages 1-35, September.
    3. Guillaume Maitrier & Gr'egoire Loeper & Jean-Philippe Bouchaud, 2025. "Generating realistic metaorders from public data," Papers 2503.18199, arXiv.org, revised Apr 2025.
    4. X. Brokmann & E. Serie & J. Kockelkoren & J. -P. Bouchaud, 2014. "Slow decay of impact in equity markets," Papers 1407.3390, arXiv.org.
    5. Iacopo Mastromatteo & Bence Toth & Jean-Philippe Bouchaud, 2013. "Agent-based models for latent liquidity and concave price impact," Papers 1311.6262, arXiv.org, revised Dec 2014.
    6. Bence Toth & Yves Lemperiere & Cyril Deremble & Joachim de Lataillade & Julien Kockelkoren & Jean-Philippe Bouchaud, 2011. "Anomalous price impact and the critical nature of liquidity in financial markets," Papers 1105.1694, arXiv.org, revised Nov 2011.
    7. F. Lillo & Szabolcs Mike & J. Doyne Farmer, 2004. "A theory for long-memory in supply and demand," Papers cond-mat/0412708, arXiv.org, revised Mar 2005.
    8. Emmanuel Bacry & Adrian Iuga & Matthieu Lasnier & Charles-Albert Lehalle, 2014. "Market impacts and the life cycle of investors orders," Papers 1412.0217, arXiv.org, revised Dec 2014.
    9. Matthew Dicks & Andrew Paskaramoorthy & Tim Gebbie, 2022. "A simple learning agent interacting with an agent-based market model," Papers 2208.10434, arXiv.org, revised Nov 2023.
    10. Diane Wilcox & Tim Gebbie, 2014. "Hierarchical causality in financial economics," Papers 1408.5585, arXiv.org, revised Sep 2014.
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