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Liquidity, liquidity risk, and information flow: Lessons from an emerging market

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  • Tissaoui, Kais
  • Ftiti, Zied

Abstract

This paper examines the role of public and private information flows in intraday liquidity and intraday liquidity risk in the Tunisian stock market. Our empirical results are based on ARMA and GARCH-type models and show that, for major Tunisian stocks, gradually elapsed public information together with gradually elapsed private information in the market is the dominant factor in liquidity improvements in the Tunisian stock market. Liquidity improvements are generated by a decrease in the bid-ask spread accompanied by an increase in the depth at best limit. Our results clearly indicate that the arrival of public information in a sequential manner is the dominant factor generating increases in liquidity risk related to the bid-ask spread, while the advent of private information in a contemporaneous manner is the dominant factor generating increases in liquidity risk related to the depth at best limit. Additionally, our results show that liquidity risk persistence disappears when trading volume and order imbalance are included as explanatory variables in the conditional variance equation.

Suggested Citation

  • Tissaoui, Kais & Ftiti, Zied, 2016. "Liquidity, liquidity risk, and information flow: Lessons from an emerging market," Research in International Business and Finance, Elsevier, vol. 37(C), pages 28-48.
    • Handle: RePEc:eee:riibaf:v:37:y:2016:i:c:p:28-48
    DOI: 10.1016/j.ribaf.2015.09.028
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    Cited by:

    1. Hammami, Yacine & Bahri, Maha, 2016. "On the determinants of expected corporate bond returns in Tunisia," Research in International Business and Finance, Elsevier, vol. 38(C), pages 224-235.
    2. Hadhri, Sinda & Ftiti, Zied, 2019. "Commonality in liquidity among Middle East and North Africa emerging stock markets: Does it really matter?," Economic Systems, Elsevier, vol. 43(3).
    3. Tissaoui, Kais & Hkiri, Besma & Talbi, Mariem & Alghassab, Waleed & Alfreahat, Khaled Issa, 2021. "Market volatility and illiquidity during the COVID-19 outbreak: Evidence from the Saudi stock exchange through the wavelet coherence approaches," The North American Journal of Economics and Finance, Elsevier, vol. 58(C).
    4. Ben Ammar, Imen & Hellara, Slaheddine & Ghadhab, Imen, 2020. "High-frequency trading and stock liquidity: An intraday analysis," Research in International Business and Finance, Elsevier, vol. 53(C).

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    More about this item

    Keywords

    Information flow; GARCH models; Trading volume; Order imbalance; Liquidity risk; Liquidity;
    All these keywords.

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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