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The adverse selection component for the bid-ask spread: A revision of its estimation models

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    Abstract

    One of the main interests of market microstructure is the estimation of the bid–ask spread components from financial data, specially the adverse selection component given the implications of its own existence. As aresult, several empirical models based on price time–series statistical properties have been developed in order to estimate them. Recent greater financial data availability has allowed the development of models that focus on price discovery and use more statistical complex methodologies like GMM or VAR. This paper analyses this set of models that allows the estimation of the bid–ask spread components from price dynamics, specifically, the estimation of the adverse selection component in time series. Actually, this sort of models are a powerful tool to investigate how information is incorporated into quotes.

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    File URL: http://www.ehu.es/cuadernosdegestion/revista/index.php/en/published-issues?y=2005&v=5&n=1&o=1
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    Bibliographic Info

    Article provided by Universidad del País Vasco - Instituto de Economía Aplicada a la Empresa (IEAE) in its journal Cuadernos de Gestión.

    Volume (Year): 5 (2005)
    Issue (Month): 1 ()
    Pages: 13-35

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    Handle: RePEc:ehu:cuader:20050501

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    Postal: Instituto de Economía Aplicada a la Empresa, Revista Cuadernos de Gestión, Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain
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    Related research

    Keywords: Market microstructure; insider trading; spread; adverse selection component; transaction cost.;

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