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Estimating The Probability Of Informed Trading: Further Evidence From An Order-Driven Market

Author

Listed:
  • David Abad

    (Universidad de Alicante)

  • Antonio Rubia

    (Universidad de Alicante)

Abstract

Nyholm (2002, 2003) [J. of Financial Research, 25, pp. 485; J. of Applied Econometrics, 18, pp. 457] has proposed a new procedure to infer the probability of informed negotiation on a trade-to-trade basis through a regime-switching model. We provide further empirical evidence about the performance of this model by using trade-related information, such as the degree of aggressiveness and the trade size, on a pure order-driven market. It is evidenced that the switching scheme of the basic model is closely related to the arrival of different types of orders and not necessarily to information. This feature also applies when controlling for market variables other than order aggressiveness (e.g., trade size). The updating process in the non-linear setting proves so complex that it is necessary to account for a number of different microstructure effects to provide probabilities related to information arrivals. This evidence casts doubts about the general suitability of the procedure.

Suggested Citation

  • David Abad & Antonio Rubia, 2004. "Estimating The Probability Of Informed Trading: Further Evidence From An Order-Driven Market," Working Papers. Serie AD 2004-38, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
    • Handle: RePEc:ivi:wpasad:2004-38
    as

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    File URL: http://www.ivie.es/downloads/docs/wpasad/wpasad-2004-38.pdf
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    References listed on IDEAS

    as
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    Cited by:

    1. David Abad & Antonio Rubia, 2005. "Modelos De Estimacion De La Probabilidad De Negociacion Informada: Una Comparacion Metodologica En El Mercado Español," Working Papers. Serie EC 2005-12, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).

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    More about this item

    Keywords

    Probability of Informed Trading; PIN; Order aggressiveness.;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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