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Extracting the multi-timescale activity patterns of online financial markets

Author

Listed:
  • Teruyoshi Kobayashi

    (Graduate School of Economics, Kobe University)

  • Anna Sapienza

    (University of Southern California, Information Sciences Institute, Los Angeles)

  • Emilio Ferrara

    (University of Southern California, Information Sciences Institute, Los Angeles)

Abstract

Online financial markets can be represented as complex systems where trading dynamics can be captured and characterized at different resolutions and time scales. In this work, we develop a methodology based on non-negative tensor factorization (NTF) aimed at extracting and revealing the multi-timescale trading dynamics governing online financial systems. We demonstrate the advantage of our strategy first using synthetic data, and then on real-world data capturing all interbank transactions (over a million) occurred in an Italian online financial market (e-MID) between 2001 and 2015. Our results demonstrate how NTF can uncover hidden activity patterns that characterize groups of banks exhibiting different trading strategies (normal vs. early vs. flash trading, etc.). We further illustrate how our methodology can reveal "crisis modalities" in trading triggered by endogenous and exogenous system shocks: as an example, we reveal and characterize trading anomalies in the midst of the 2008 financial crisis.

Suggested Citation

  • Teruyoshi Kobayashi & Anna Sapienza & Emilio Ferrara, 2018. "Extracting the multi-timescale activity patterns of online financial markets," Discussion Papers 1809, Graduate School of Economics, Kobe University.
    • Handle: RePEc:koe:wpaper:1809
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    References listed on IDEAS

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    1. Charles D. Brummitt & Teruyoshi Kobayashi, 2015. "Cascades in multiplex financial networks with debts of different seniority," Papers 1501.05400, arXiv.org, revised May 2015.
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    Cited by:

    1. Anastasios Demertzidis, 2019. "Interbank transactions on the intraday frequency: -Different market states and the effects of the financial crisis-," MAGKS Papers on Economics 201932, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).

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