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

One of the main interests of market microstructure is the estimation of the bid–ask spread componentsfrom 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...

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Main Authors: ANA M.ª IBÁÑEZ, JOSÉ EMILIO FARINÓS VIÑAS, CONSTANTINO JOSÉ GARCÍA MARTÍN
Format: Article
Language:English
Published: Universidad del País Vasco (UPV/EHU) 2005-06-01
Series:Management Letters/Cuadernos de Gestión
Subjects:
Online Access:http://www.ehu.es/cuadernosdegestion/revista/index.php/en/published-issues?y=2005&v=5&n=1&o=1
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spelling doaj-d6897acf936149879b2885cb00dfab352020-11-25T03:48:08ZengUniversidad del País Vasco (UPV/EHU)Management Letters/Cuadernos de Gestión1131-68371988-21572005-06-01511335The adverse selection component for the bid-ask spread: A revision of its estimation modelsANA M.ª IBÁÑEZJOSÉ EMILIO FARINÓS VIÑASCONSTANTINO JOSÉ GARCÍA MARTÍNOne of the main interests of market microstructure is the estimation of the bid–ask spread componentsfrom 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.http://www.ehu.es/cuadernosdegestion/revista/index.php/en/published-issues?y=2005&v=5&n=1&o=1market microstructureinsider tradingspreadadverse selection componenttransaction cost
collection DOAJ
language English
format Article
sources DOAJ
author ANA M.ª IBÁÑEZ
JOSÉ EMILIO FARINÓS VIÑAS
CONSTANTINO JOSÉ GARCÍA MARTÍN
spellingShingle ANA M.ª IBÁÑEZ
JOSÉ EMILIO FARINÓS VIÑAS
CONSTANTINO JOSÉ GARCÍA MARTÍN
The adverse selection component for the bid-ask spread: A revision of its estimation models
Management Letters/Cuadernos de Gestión
market microstructure
insider trading
spread
adverse selection component
transaction cost
author_facet ANA M.ª IBÁÑEZ
JOSÉ EMILIO FARINÓS VIÑAS
CONSTANTINO JOSÉ GARCÍA MARTÍN
author_sort ANA M.ª IBÁÑEZ
title The adverse selection component for the bid-ask spread: A revision of its estimation models
title_short The adverse selection component for the bid-ask spread: A revision of its estimation models
title_full The adverse selection component for the bid-ask spread: A revision of its estimation models
title_fullStr The adverse selection component for the bid-ask spread: A revision of its estimation models
title_full_unstemmed The adverse selection component for the bid-ask spread: A revision of its estimation models
title_sort adverse selection component for the bid-ask spread: a revision of its estimation models
publisher Universidad del País Vasco (UPV/EHU)
series Management Letters/Cuadernos de Gestión
issn 1131-6837
1988-2157
publishDate 2005-06-01
description One of the main interests of market microstructure is the estimation of the bid–ask spread componentsfrom 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.
topic market microstructure
insider trading
spread
adverse selection component
transaction cost
url http://www.ehu.es/cuadernosdegestion/revista/index.php/en/published-issues?y=2005&v=5&n=1&o=1
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