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Investor sentiment and dynamic connectedness in European markets: insights from the covid-19 and Russia-Ukraine conflict

Bruno Buchetti, Ahmed Bouteska, Murad Harasheh and Alessandro Santoni

No 3050, Working Paper Series from European Central Bank

Abstract: The primary objective of this study is to explore the dynamic relationships between equity returns or volatility and sentiment factors in European markets during both the periods preceding the COVID-19 pandemic, the COVID-19 itself, and the Russia-Ukraine war. We achieve this by applying the network methodology initially introduced by Diebold & Yilmaz (2014), along with its extensions based on realized measures and generalized forecast error variance decomposition, as proposed by Baruník & Křehlík (2018) and Chatziantoniou et al. (2023). Additionally, we investigate how the global sentiment factor influences the overall connectedness index by employing a quantile-on-quantile approach, following the methods outlined by Sim & Zhou (2015) and Bouri et al. (2022). To conduct our analysis, we utilize daily-frequency data encompassing the period from January 1, 2011, to December 31, 2023, covering the entirety of the COVID-19 pandemic in 2020 and the Russia-Ukraine conflict in 2022 across six European stock indices. Our primary discovery is the interconnectedness of both returns and sentiment. Furthermore, our resultsindicate that during the COVID-19 and Russia-Ukraine war, there is a notable increase in volatility spillovers among the analyzed stock indices, driven by the heightened interconnectedness between stock market returns. JEL Classification: G11, G12, G14, G40

Keywords: COVID-19; dynamic spillover and connectedness; European financial markets; investor sentiment; Russia-Ukraine war (search for similar items in EconPapers)
Date: 2025-04
New Economics Papers: this item is included in nep-cis, nep-eec, nep-fmk and nep-rmg
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