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Stylized Facts and Market Microstructure: An In-Depth Exploration of German Bond Futures Market

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  • Hamza Bodor
  • Laurent Carlier

Abstract

This paper presents an in-depth analysis of stylized facts in the context of futures on German bonds. The study examines four futures contracts on German bonds: Schatz, Bobl, Bund and Buxl, using tick-by-tick limit order book datasets. It uncovers a range of stylized facts and empirical observations, including the distribution of order sizes, patterns of order flow, and inter-arrival times of orders. The findings reveal both commonalities and unique characteristics across the different futures, thereby enriching our understanding of these markets. Furthermore, the paper introduces insightful realism metrics that can be used to benchmark market simulators. The study contributes to the literature on financial stylized facts by extending empirical observations to this class of assets, which has been relatively underexplored in existing research. This work provides valuable guidance for the development of more accurate and realistic market simulators.

Suggested Citation

  • Hamza Bodor & Laurent Carlier, 2024. "Stylized Facts and Market Microstructure: An In-Depth Exploration of German Bond Futures Market," Papers 2401.10722, arXiv.org.
  • Handle: RePEc:arx:papers:2401.10722
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    References listed on IDEAS

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    1. Ballocchi, Giuseppe & Dacorogna, Michel M. & Hopman, Carl M. & Muller, Ulrich A. & Olsen, Richard B., 1999. "The intraday multivariate structure of the Eurofutures markets," Journal of Empirical Finance, Elsevier, vol. 6(5), pages 479-513, December.
    2. Dion Harmon & Marcus A. M. de Aguiar & David D. Chinellato & Dan Braha & Irving R. Epstein & Yaneer Bar-Yam, 2011. "Predicting economic market crises using measures of collective panic," Papers 1102.2620, arXiv.org.
    3. Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. "An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-1689, December.
    4. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Quantitative Finance, Taylor & Francis Journals, vol. 2(4), pages 251-256.
    5. Anirban Chakraborti & Ioane Muni Toke & Marco Patriarca & Frederic Abergel, 2011. "Econophysics review: I. Empirical facts," Quantitative Finance, Taylor & Francis Journals, vol. 11(7), pages 991-1012.
    6. R. Cont, 2001. "Empirical properties of asset returns: stylized facts and statistical issues," Quantitative Finance, Taylor & Francis Journals, vol. 1(2), pages 223-236.
    7. Thibault Jaisson & Mathieu Rosenbaum, 2013. "Limit theorems for nearly unstable Hawkes processes," Papers 1310.2033, arXiv.org, revised Mar 2015.
    8. Olivier Brandouy & Angelo Corelli & Iryna Veryzhenko & Roger Waldeck, 2012. "A re-examination of the "zero is enough" hypothesis in the emergence of financial stylized facts," Post-Print hal-00951003, HAL.
    9. Olivier Brandouy & Angelo Corelli & Iryna Veryzhenko & Roger Waldeck, 2012. "A re-examination of the “zero is enough” hypothesis in the emergence of financial stylized facts," Journal of Economic Interaction and Coordination, Springer;Society for Economic Science with Heterogeneous Interacting Agents, vol. 7(2), pages 223-248, October.
    10. Robin K. Chou & Yun‐Yi Wang, 2009. "Strategic order splitting, order choice, and aggressiveness: Evidence from the Taiwan futures exchange," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 29(12), pages 1102-1129, December.
    11. Engle, Robert F. & Russell, Jeffrey R., 1997. "Forecasting the frequency of changes in quoted foreign exchange prices with the autoregressive conditional duration model," Journal of Empirical Finance, Elsevier, vol. 4(2-3), pages 187-212, June.
    12. Jean-Philippe Bouchaud & Marc Mezard & Marc Potters, 2002. "Statistical properties of stock order books: empirical results and models," Science & Finance (CFM) working paper archive 0203511, Science & Finance, Capital Fund Management.
    13. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233, Elsevier.
    14. Ioane Muni Toke, 2016. "Reconstruction of Order Flows using Aggregated Data," Papers 1604.02759, arXiv.org.
    15. Monira Aloud & Maria Fasli & Edward Tsang & Alexandre Dupuis & Richard Olsen, 2013. "Stylized Facts of the FX Market Transactions Data: An Empirical Study," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 2(4), pages 1-9.
    16. Olivier Brandouy & Angelo Corelli & Iryna Veryzhenko & Roger Waldeck, 2012. "A re-examination of the "zero is enough" hypothesis in the emergence of financial stylized facts," Post-Print hal-00951015, HAL.
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