Nonlinear market liquidity: an empirical examination
dc.contributor.author | Chuliá, Helena | |
dc.contributor.author | Mosquera López, Stephanía | |
dc.contributor.author | Uribe Gil, Jorge Mario | |
dc.date.accessioned | 2025-07-29T06:11:20Z | |
dc.date.available | 2025-07-29T06:11:20Z | |
dc.date.issued | 2023-01-10 | |
dc.date.updated | 2025-07-29T06:11:20Z | |
dc.description.abstract | We 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.description.sponsorship | This work was supported by the Spanish Ministry of Science and Innovation under Grant [PID2019-105986GB-C21] | en |
dc.identifier.citation | Chuliá, H., Mosquera-López, S., & Uribe, J. M. (2023). Nonlinear market liquidity: an empirical examination. International Review of Financial Analysis, 87. https://doi.org/10.1016/J.IRFA.2023.102532 | |
dc.identifier.doi | 10.1016/J.IRFA.2023.102532 | |
dc.identifier.issn | 1057-5219 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14454/3293 | |
dc.language.iso | eng | |
dc.publisher | Elsevier Inc. | |
dc.rights | © 2023 The Authors | |
dc.subject.other | Liquidity indicators | |
dc.subject.other | Nonlinear effects | |
dc.subject.other | Quantile regressions | |
dc.subject.other | Liquidity crisis | |
dc.title | Nonlinear market liquidity: an empirical examination | en |
dc.type | journal article | |
dcterms.accessRights | open access | |
oaire.citation.title | International Review of Financial Analysis | |
oaire.citation.volume | 87 | |
oaire.licenseCondition | https://creativecommons.org/licenses/by/4.0/ | |
oaire.version | VoR |
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