Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/196883
Title: Nonlinear market liquidity: An empirical examination
Author: Chuliá Soler, Helena
Mosquera-López, Stephania
Uribe Gil, Jorge Mario
Keywords: Liquiditat (Economia)
Programació no lineal
Empirisme
Liquidity (Economics)
Nonlinear programming
Empiricism
Issue Date: 1-May-2023
Publisher: Elsevier
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.
Note: Versió postprint del document publicat a: https://doi.org/10.1016/j.irfa.2023.102532
It is part of: International Review of Financial Analysis, 2023, vol. 87, num. 102532
URI: http://hdl.handle.net/2445/196883
Related resource: https://doi.org/10.1016/j.irfa.2023.102532
ISSN: 1057-5219
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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