AI, energy transition and Islamic equity markets: wavelet-quantile evidence from matched conventional benchmarks

Purpose This study aims to examine the state- and horizon-dependent relationships of artificial intelligence (AI) and robotics equities with Islamic equity, renewable-energy and fossil-energy markets. It also evaluates whether AI linkages are stronger for Shariah-compliant indices than for region-matched conventional parent benchmarks. Design/methodology/approach Daily returns from July 2018 to August 2025 are analysed using Wavelet Quantile Correlation based on maximal-overlap discrete wavelet decomposition and nonparametric causality-in-quantiles tests for conditional mean and variance. The empirical design incorporates bootstrap confidence intervals, serial-dependence-preserving null inference, false-discovery-rate correction, an alternative wavelet filter, subsample analyses, structural-break tests, latent common-factor residualisation, matched conventional benchmarks, bandwidth sensitivity and out-of-sample portfolio evaluation. Findings AI assets display broad positive dependence with all three market groups, although average linkages are stronger for the US and European Islamic indices and selected renewable-energy benchmarks than for most fossil-energy indices. Predictability is moment-specific and heterogeneous. The main dependence patterns are stable across wavelet filters but vary across structural regimes and weaken substantially after removal of a common market component. Matched-parent tests identify no excess AI linkage that remains significant after false-discovery-rate correction. Portfolio gains are modest and arise mainly from small renewable-energy allocations. Originality/value The study shifts the research question from whether Islamic equities are connected to AI toward whether that connection is specifically attributable to Shariah screening. Formal WQC inference, moment-specific predictability, matched conventional parent indices, structural heterogeneity and portfolio evidence show that Islamic equities participate fully in technology-driven market dynamics, but the evidence is more consistent with shared regional equity exposure and possible sector-composition effects than with a general Shariah-specific channel.

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Publication Details

Journal
International Journal of Islamic and Middle Eastern Finance and Management
Published
2026-09-15
DOI
https://doi.org/10.1108/imefm-06-2026-0479
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
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article

AI, energy transition and Islamic equity markets: wavelet-quantile evidence from matched conventional benchmarks

Halil Altıntaş, Muhammed Benli, Merve Çelik
International Journal of Islamic and Middle Eastern Finance and Management
Market Dynamics and Volatility
article

AI, energy transition and Islamic equity markets: wavelet-quantile evidence from matched conventional benchmarks

Halil Altıntaş, Muhammed Benli, Merve Çelik
article en

Abstract

Purpose This study aims to examine the state- and horizon-dependent relationships of artificial intelligence (AI) and robotics equities with Islamic equity, renewable-energy and fossil-energy markets. It also evaluates whether AI linkages are stronger for Shariah-compliant indices than for region-matched conventional parent benchmarks. Design/methodology/approach Daily returns from July 2018 to August 2025 are analysed using Wavelet Quantile Correlation based on maximal-overlap discrete wavelet decomposition and nonparametric causality-in-quantiles tests for conditional mean and variance. The empirical design incorporates bootstrap confidence intervals, serial-dependence-preserving null inference, false-discovery-rate correction, an alternative wavelet filter, subsample analyses, structural-break tests, latent common-factor residualisation, matched conventional benchmarks, bandwidth sensitivity and out-of-sample portfolio evaluation. Findings AI assets display broad positive dependence with all three market groups, although average linkages are stronger for the US and European Islamic indices and selected renewable-energy benchmarks than for most fossil-energy indices. Predictability is moment-specific and heterogeneous. The main dependence patterns are stable across wavelet filters but vary across structural regimes and weaken substantially after removal of a common market component. Matched-parent tests identify no excess AI linkage that remains significant after false-discovery-rate correction. Portfolio gains are modest and arise mainly from small renewable-energy allocations. Originality/value The study shifts the research question from whether Islamic equities are connected to AI toward whether that connection is specifically attributable to Shariah screening. Formal WQC inference, moment-specific predictability, matched conventional parent indices, structural heterogeneity and portfolio evidence show that Islamic equities participate fully in technology-driven market dynamics, but the evidence is more consistent with shared regional equity exposure and possible sector-composition effects than with a general Shariah-specific channel.

International Journal of Islamic and Middle Eastern Finance and Management
Bilecik Şeyh Edebali Üniversitesi (TR), Kilis 7 Aralık University (TR), Erciyes University (TR)
Affordable and clean energy
Openalex Percentile: Top 5%
Market Dynamics and Volatility
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