Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/150906
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dc.contributor.authorChuliá Soler, Helena-
dc.contributor.authorMosquera López, Stephanía-
dc.contributor.authorUribe, Jorge M.-
dc.date.accessioned2024-07-16T11:47:29Z-
dc.date.available2024-07-16T11:47:29Z-
dc.date.issued2023-01-10-
dc.identifier.citationHelena Chuliá, Stephania Mosquera-López, Jorge M. Uribe, Nonlinear market liquidity: An empirical examination, International Review of Financial Analysis, Volume 87, 2023, 102532, ISSN 1057-5219, https://doi.org/10.1016/j.irfa.2023.102532.en
dc.identifier.issn1057-5219MIAR
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dc.identifier.urihttp://hdl.handle.net/10609/150906-
dc.description.abstractWe offer novel indicators of market-wide liquidity. Previous literature uses averages of individual liquidity indicators to track the evolution of market-wide liquidity. Instead, we focus on the tails of the market liquidity distribution. First, we construct aggregate liquidity indicators using low and high quantiles of six liquidity measures (total volume, number of trades, effective spread, realized spread, price impact and lambda). Our results show that market conditions have an asymmetric impact on the tails of the liquidity distribution. In the second part of the study, we test for nonlinearity of the effects of market determinants on market liquidity.en
dc.format.mimetypeapplication/pdfca
dc.language.isoengca
dc.publisherElsevierca
dc.relation.ispartofInternational Review of Financial Analysis 87 (2023) 102532ca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0-
dc.subjectLiquidity indicatorsen
dc.subjectNonlinear effectsen
dc.subjectQuantile regressionsen
dc.subjectLiquidity crisisen
dc.titleNonlinear market liquidity: An empirical examinationca
dc.typeinfo:eu-repo/semantics/articleca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess-
dc.identifier.doihttps://doi.org/10.1016/j.irfa.2023.102532-
dc.gir.idAR/0000010615-
dc.type.versioninfo:eu-repo/semantics/publishedVersion-
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