ArticleiScience2026
AI-Carbon-Energy: Spillover effects and drivers in interconnected markets.
Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study explores the spillover effects between the AI market, international carbon market, and energy markets based on a time-varying parameter vector autoregression model. Further, the study uses a multivariate quantile-to-quantile regression model to identify the macro and micro factors influencing spillover effects. The results show that there are significant spillover effects among the three markets. The AI and new energy markets are the main risk-transmitting markets with respect to the return and volatility spillovers. For skewness and kurtosis, all traditional energy markets except the gas market become risk transmitters. Across all moments, the carbon market consistently is a net recipient of risk. The spillover effects clearly vary with time. Short-term dynamics drive returns and skewness connections, and long-term effects primarily drive volatility and kurtosis connections. In addition, geopolitical risk, economic policy uncertainty, climate risk, AI technological progress, and investor attention may exert differentiated impacts on various spillover effects.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.