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An Agent-Based Investigation of the Probability of Informed Trading

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Part of the book series: Lecture Notes in Economics and Mathematical Systems ((LNE,volume 669))

Abstract

We study the Volume Synchronized Probability of Informed Trading (VPIN) proposed by Easley D, López de Prado M, O’Hara (Rev Financ Stud 25:1457–1493, 2010) as a consistent measure of the “order flow toxicity”. The VPIN is a proxy for the probability that informed traders adversely select uninformed ones, notably Market Makers. We use a price-driven, asynchronous, agent-based artificial market where populations of agents evolve according to the general logic and within a similar framework as proposed by Easley D, Kiefer D, O’Hara M, Paperman J (J Financ 51(4):1405–1436, 1996). Among others, we document situations in which the VPIN is at high levels even if no informed trading is at play. This ambiguity in the consistency of the VPIN suggests that this measure may mislead competitive market makers in their decisions about the spread.

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Notes

  1. 1.

    For technical details describing the simulation platform, see Mathieu [7].

  2. 2.

    See NYSE-Euronext rule-book, at http://www.euronext.com. In this paper we only use “Limit”, “Market” and “Cancel” orders.

References

  1. Easley D, Kiefer D, O’Hara M, Paperman J (1996) Liquidity, information and infrequently traded stocks. J Financ 51(4):1405–1436

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  2. Easley D, Engle F, O’Hara M, Wu L (2008) Time-varying arrival rates of informed and uninformed trades. J Financ Econom 6(2):171–207

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  3. Easley D, López de Prado M, O’Hara (2010) Flow toxicity and liquidity in a high-frequency world. Rev Financ Stud 25:1457–1493

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  4. Easley D, López de Prado M, O’Hara (2010) The microstructure of the “Flash Crash”: flow toxicity, liquidity crashes and the probability of informed trading. J Portf Manag 37(2): 118–128

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  5. Lee C, Ready M (2010) Inferring trade direction from intraday data. J Financ 46:733–746

    Article  Google Scholar 

  6. Maslov S (2010) Simple model of a limit order driven market. Physica A 278:571–578

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  7. Mathieu P, Brandouy O (2010) A generic architecture for realistic simulations of complex financial dynamics. PAAMS 70:185–197

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  8. Nevmyvaka Y, Sycara K, Seppi D (2011) Electronic market making: initial investigation. http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.61.1642

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Correspondence to Olivier Brandouy .

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Brandouy, O., Mathieu, P. (2014). An Agent-Based Investigation of the Probability of Informed Trading. In: Leitner, S., Wall, F. (eds) Artificial Economics and Self Organization. Lecture Notes in Economics and Mathematical Systems, vol 669. Springer, Cham. https://doi.org/10.1007/978-3-319-00912-4_10

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