An abstract-described time-series study covering November 2015 through November 2024 found fluctuating spillovers in returns and volatility among fossil-fuel, clean-energy and carbon-emissions markets. The analysis examined WTI crude oil, natural gas, gasoline, heating oil, the PBW and SPGTCLEN clean-energy indices, and carbon emissions futures.
According to the abstract, the researchers combined TVP-VAR and DCC-GARCH methodologies to examine connections driven by returns and volatility. TVP-VAR estimates indicated significant but changing return spillovers, including notable surges during the COVID-19 pandemic and the Russia–Ukraine conflict. Within the modeled return network, WTI and heating oil were identified as enduring transmitters, while natural gas and carbon futures were described as subject to continuous shocks. The authors characterized these patterns as indicative of regional segmentation and policy-driven pricing.
The clean-energy indices had time-varying connections and primarily functioned as transmitters, which the abstract interprets as evidence of their increasing systemic significance. The DCC-GARCH analysis indicated volatility contagion across the markets, with WTI identified as the primary volatility transmitter and PBW as the most susceptible recipient. Robustness checks across forecast horizons, frequencies and oil benchmarks supported the authors’ conclusion that these patterns were structural rather than contingent on the model used.
The abstract concludes that fossil fuels continue to act as systemic risk transmitters. It also states that carbon and clean-energy assets require improved liquidity and hedging mechanisms, while energy-transition strategies must reconcile financial stability with decarbonization objectives. Because the supplied evidence consists only of the abstract and an early accepted version subject to further edits, the full methods, numerical estimates, model diagnostics and study limitations could not be independently assessed. The findings therefore should be understood as results summarized in the abstract rather than a full evaluation of the published article.
Subject of Research: Time-series analysis of return and volatility spillovers among fossil-fuel, clean-energy and carbon-emissions markets
Article Title: Dynamic connectedness and volatility spillovers across energy markets
Article References: Esmaeilpour Moghadam, H., & Karami, A. (2026). Dynamic connectedness and volatility spillovers across energy markets. Discover Sustainability. https://doi.org/10.1007/s43621-026-05046-z
Image Credits: AI Generated
DOI: 10.1007/s43621-026-05046-z
Keywords: energy markets, volatility spillovers, return connectedness, WTI crude oil, clean-energy indices, carbon emissions futures, TVP-VAR, DCC-GARCH, financial contagion, Dynamic, connectedness, volatility
Cite Scienmag News
Violet Maxwell. (October 20, 2026). Time-series study maps return and volatility spillovers across energy markets. Scienmag. https://scienmag.com/time-series-study-maps-return-and-volatility-spillovers-across-energy-markets/
Violet Maxwell. "Time-series study maps return and volatility spillovers across energy markets." Scienmag, 20 October 2026, https://scienmag.com/time-series-study-maps-return-and-volatility-spillovers-across-energy-markets/. Accessed 20 October 2026.
Violet Maxwell. "Time-series study maps return and volatility spillovers across energy markets." Scienmag. October 20, 2026. https://scienmag.com/time-series-study-maps-return-and-volatility-spillovers-across-energy-markets/
