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Nonlinear market liquidity: An empirical examination

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  • Chuliá, Helena
  • Mosquera-López, Stephania
  • Uribe, Jorge M.

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.

Suggested Citation

  • Chuliá, Helena & Mosquera-López, Stephania & Uribe, Jorge M., 2023. "Nonlinear market liquidity: An empirical examination," International Review of Financial Analysis, Elsevier, vol. 87(C).
    • Handle: RePEc:eee:finana:v:87:y:2023:i:c:s1057521923000480
    DOI: 10.1016/j.irfa.2023.102532
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    More about this item

    Keywords

    Liquidity indicators; Nonlinear effects; Quantile regressions; liquidity crisis;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General

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