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Liquidity on Eurozone stock markets: A non-linear approach

Author

Listed:
  • Boumediene Souiki

    (MRE - Montpellier Recherche en Economie)

  • Françoise Seyte

    (MRE - Montpellier Recherche en Economie)

Abstract

The purpose of this paper is to study the relationship between liquidity and returns in the main European stock markets for the period of January 2005- December 2020. Asset liquidity is measured by three correlated indicators (ROLL, CS and HL). The methodology adopted consists of constructing threshold autoregressive model (TAR) for market returns while using liquidity indicators as a transition variable. The distinction between the different regimes helps clarify the relationship between these variables. The results show that the detected thresholds are different depending on the stock market. We then find that the impact of the liquidity indicator on returns is different for regime 1 and regime 2, and we propose an economic explanation for this difference. main European stock markets for the period of January 2005- December 2020. Asset liquidity is measured by three correlated indicators (ROLL, CS and HL). The methodology adopted consists of constructing threshold autoregressive model (TAR) for market returns while using liquidity indicators as a transition variable. The distinction between the different regimes helps clarify the relationship between these variables. The results show that the detected thresholds are different depending on the stock market. We then find that the impact of the liquidity indicator on returns is different for regime 1 and regime 2, and we propose an economic explanation for this difference. main European stock markets for the period of January 2005- December 2020. Asset liquidity is measured by three correlated indicators (ROLL, CS and HL). The methodology adopted consists of constructing threshold autoregressive model (TAR) for market returns while using liquidity indicators as a transition variable. The distinction between the different regimes helps clarify the relationship between these variables. The results show that the detected thresholds are different depending on the stock market. We then find that the impact of the liquidity indicator on returns is different for regime 1 and regime 2, and we propose an economic explanation for this difference.

Suggested Citation

  • Boumediene Souiki & Françoise Seyte, 2024. "Liquidity on Eurozone stock markets: A non-linear approach," Economics Bulletin, AccessEcon, vol. 44(1), pages 321-340.
    • Handle: RePEc:ebl:ecbull:eb-21-01064
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    References listed on IDEAS

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    More about this item

    Keywords

    Liquidity risk; Market risk; TAR model; Nonlinear model.;
    All these keywords.

    JEL classification:

    • Y1 - Miscellaneous Categories - - Data: Tables and Charts
    • C1 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General

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