Contemporaneous and Lagged R2 Decomposed Connectedness: Evidence for Stock Market Indices, Thematic ETFs, Bitcoin, Brent Crude Oil and Geopolitical Risks

Abstract This paper applies the R² connectedness method proposed by Balli et al. (2023) to analyse contemporaneous and lagged connectedness between returns on several asset classes (sector ETFs, Bitcoin, stock market indices, Brent crude oil) over the period 1 January 2023–22 September 2025, in the presence of heightened geopolitical risk. The results indicate that contemporaneous effects dominate over lagged ones. Specifically, the Nikkei 225, the STOXX 600, and Brent oil act as net risk receivers, while Bitcoin plays a limited role as a safe haven. Conversely, the S&P 500 index appears to be the main shock emitter, followed by the Defence (ITA) and Technology (XLK) ETFs, while the Energy (XLE) ETF seems to be particularly exposed to risk. These findings provide valuable information to policymakers responsible for financial stability and to investors seeking effective portfolio diversification and hedging strategies, especially during periods of market turbulence.

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Publication Details

Journal
Journal of Quantitative Economics
Published
2026-11-02
DOI
https://doi.org/10.1007/s40953-026-00540-7
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
4.89

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article

Contemporaneous and Lagged R2 Decomposed Connectedness: Evidence for Stock Market Indices, Thematic ETFs, Bitcoin, Brent Crude Oil and Geopolitical Risks

Luis A. Gil-Alaña, Guglielmo Maria Caporale, Fekria Belhouichet
1 citations
Journal of Quantitative Economics
Market Dynamics and Volatility
4.89
article

Contemporaneous and Lagged R2 Decomposed Connectedness: Evidence for Stock Market Indices, Thematic ETFs, Bitcoin, Brent Crude Oil and Geopolitical Risks

Luis A. Gil-Alaña, Guglielmo Maria Caporale, Fekria Belhouichet
article en
1 citations

Abstract

Abstract This paper applies the R² connectedness method proposed by Balli et al. (2023) to analyse contemporaneous and lagged connectedness between returns on several asset classes (sector ETFs, Bitcoin, stock market indices, Brent crude oil) over the period 1 January 2023–22 September 2025, in the presence of heightened geopolitical risk. The results indicate that contemporaneous effects dominate over lagged ones. Specifically, the Nikkei 225, the STOXX 600, and Brent oil act as net risk receivers, while Bitcoin plays a limited role as a safe haven. Conversely, the S&P 500 index appears to be the main shock emitter, followed by the Defence (ITA) and Technology (XLK) ETFs, while the Energy (XLE) ETF seems to be particularly exposed to risk. These findings provide valuable information to policymakers responsible for financial stability and to investors seeking effective portfolio diversification and hedging strategies, especially during periods of market turbulence.

Journal of Quantitative Economics
University of Sfax (TN), Universidad Francisco de Vitoria (ES), Faculty of Economics and Management of Sfax (TN), Brunel University of London (GB), Universidad de Navarra (ES)
Universidad de Navarra
Openalex Percentile: Top 10%
Market Dynamics and Volatility
4.89
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