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Order book dynamics with liquidity fluctuations: limit theorems and large deviations

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  • Helder Rojas
  • Artem Logachov
  • Anatoly Yambartsev

Abstract

We propose a class of stochastic models for a dynamics of limit order book with different type of liquidities. Within this class of models we study the one where a spread decreases uniformly, belonging to the class of processes known as a population processes with uniform catastrophes. The law of large numbers (LLN), central limit theorem (CLT) and large deviations (LD) are proved for our model with uniform catastrophes. Our results allow us to satisfactorily explain the volatility and local trends in the prices, relevant empirical characteristics that are observed in this type of markets. Furthermore, it shows us how these local trends and volatility are determined by the typical values of the bid-ask spread. In addition, we use our model to show how large deviations occur in the spread and prices, such as those observed in flash crashes.

Suggested Citation

  • Helder Rojas & Artem Logachov & Anatoly Yambartsev, 2020. "Order book dynamics with liquidity fluctuations: limit theorems and large deviations," Papers 2004.10632, arXiv.org, revised Jan 2021.
  • Handle: RePEc:arx:papers:2004.10632
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    References listed on IDEAS

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    1. Rama Cont & Sasha Stoikov & Rishi Talreja, 2010. "A Stochastic Model for Order Book Dynamics," Operations Research, INFORMS, vol. 58(3), pages 549-563, June.
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    7. Avellaneda, Marco & Reed, Josh & Stoikov, Sasha, 2011. "Forecasting prices from level-I quotes in the presence of hidden liquidity," Algorithmic Finance, IOS Press, vol. 1(1), pages 35-43.
    8. Logachov, A. & Logachova, O. & Yambartsev, A., 2019. "Large deviations in a population dynamics with catastrophes," Statistics & Probability Letters, Elsevier, vol. 149(C), pages 29-37.
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