What question did this study set out to answer?

To evaluate the comparative and nonlinear associations of artificial intelligence market expansion and climate policy uncertainty with coal, natural gas, and crude oil returns across varying market states and time horizons.

September 18, 2026Geological Journal

Artificial Intelligence, Climate Policy Uncertainty, and the Changing Dynamics of Fossil‐Energy Resource Markets: A Wavelet Quantile Analysis

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Authors

DKDerviş KırıkkaleliEuropean University of Lefke SASeyed Alireza AthariToros University ASAsaad SendiIslamic University of Madinah

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Implication

Wavelet quantile analysis uncovers heterogeneous impacts of AI and climate policy uncertainty on fossil fuel returns, highlighting divergent risks across investment horizons.

Key Points

To evaluate the comparative and nonlinear associations of artificial intelligence market expansion and climate policy uncertainty with coal, natural gas, and crude oil returns across varying market states and time horizons.
Evaluated daily time-series market data spanning from August 20, 2019, to June 9, 2025.
Applied wavelet quantile-on-quantile regression to capture multi-horizon (short-, medium-, and long-term) and state-dependent relationships across coal, natural gas, and crude oil assets.
Artificial intelligence market developments are predominantly negatively associated with coal and natural gas returns over longer horizons, but display a persistent positive association with crude oil over medium and long horizons.
Climate policy uncertainty displays mixed, localized short-term impacts but becomes positively associated with coal and natural gas returns over longer horizons, while remaining weaker and more segmented for crude oil.
Asset relationships vary substantially based on the specific fuel type, prevailing market quantiles, and the evaluated investment time horizon.

Cite This Study

Kırıkkaleli et al. (2026) studied this question.

synapsesocial.com/papers/6aad0bd7de0393d728b8a5b7 https://doi.org/10.1002/gj.70496

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Implication

Wavelet quantile analysis uncovers heterogeneous impacts of AI and climate policy uncertainty on fossil fuel returns, highlighting divergent risks across investment horizons.

Artificial Intelligence, Climate Policy Uncertainty, and the Changing Dynamics of Fossil‐Energy Resource Markets: A Wavelet Quantile Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

Artificial Intelligence, Climate Policy Uncertainty, and the Changing Dynamics of Fossil‐Energy Resource Markets: A Wavelet Quantile Analysis

Discussion

Member takes

Implication

Key Points

Cite This Study

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