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New insights into liquidity resiliency

Author

Listed:
  • O’Sullivan, Conall
  • Papavassiliou, Vassilios G.
  • Wafula, Ronald Wekesa
  • Boubaker, Sabri

Abstract

In this study we offer fresh insights into liquidity resiliency. We empirically study the resiliency of the euro area sovereign bond market across the maturity spectrum. We measure resiliency using a standard Ordinary Least Squares regression approach, along with the least absolute shrinkage and selection operator (LASSO) machine learning approach. We find both spread-based and depth-based resiliency are negatively correlated with spreads and positively correlated with depths. Moreover, we study the interrelationships among resiliency, volatility, returns, and credit default swap (CDS) spreads. Lastly, we document strong commonalities in resiliency for core and periphery euro area markets in both calm and turbulent periods.

Suggested Citation

  • O’Sullivan, Conall & Papavassiliou, Vassilios G. & Wafula, Ronald Wekesa & Boubaker, Sabri, 2024. "New insights into liquidity resiliency," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 90(C).
    • Handle: RePEc:eee:intfin:v:90:y:2024:i:c:s1042443123001609
    DOI: 10.1016/j.intfin.2023.101892
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    Keywords

    Resiliency; Liquidity; Sovereign bond markets; LASSO; High-frequency data; Market microstructure;
    All these keywords.

    JEL classification:

    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling
    • G01 - Financial Economics - - General - - - Financial Crises
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets

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