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Econometric analysis reveals time- and state-dependent risk spillovers among carbon, green, conventional, and digital assets, highlighting vulnerabilities during market stress.
Using 2143 daily observations from January 2018 to March 2026, this study examines risk transmission among European Union Allowance (EUA) prices, green-bond indices, environmental, social, and governance (ESG) equity indices, conventional financial assets, and digital assets. The empirical design combines vector autoregression with an exogenous variable and generalised forecast-error variance decomposition (VAR-X/GFEVD) for the full-sample and rolling analyses with quantile vector autoregression with an exogenous variable and GFEVD (QVAR-X/GFEVD) for the quantile-specific analysis. The preferred eight-asset VAR-X specification produces a full-sample Total Connectedness Index (TCI) of 39.31%, while the corresponding 100-day rolling VAR-X analysis produces a mean TCI of 43.03%. The rolling TCI reaches a maximum of 54.17% on 20 July 2022 and a COVID-19-period maximum of 48.80% on 8 June 2020, indicating that system-wide connectedness increases during periods of market stress. The Cboe Volatility Index (VIX), S&P 500, and ESG equity index are consistently the dominant net transmitters, whereas EUAs, Bitcoin, crude oil, and green bonds are net receivers. The EUA net-receiver position becomes less negative after 2024, but this temporal association should not be interpreted as evidence that strengthened Phase IV provisions caused greater carbon-market stability. The quantile-specific results reveal non-monotonic state dependence, with the TCI ranging from 18.28% at τ = 0.6 to 23.52% at τ = 0.4 rather than increasing uniformly toward the lower tail.
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Shojaei et al. (2026) studied this question.
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