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New insights into liquidity resiliency

Conall O’Sullivan Orcid Logo, Vassilios G. Papavassiliou Orcid Logo, Ronald Wekesa Wafula Orcid Logo, Sabri Boubaker Orcid Logo

Journal of International Financial Markets, Institutions and Money, Volume: 90, Start page: 101892

Swansea University Author: Sabri Boubaker Orcid Logo

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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 sel...

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Published in: Journal of International Financial Markets, Institutions and Money
ISSN: 1042-4431
Published: Elsevier BV 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67531
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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.
Keywords: Resiliency; Liquidity; Sovereign bond markets; LASSO; High-frequency data; Market microstructure
College: Faculty of Humanities and Social Sciences
Start Page: 101892