Disentangling the Time-Frequency Nexus of Oil, Uncertainties, and Saudi Equities: A Wavelet Local Multiple Correlation Approach

This paper examines the combined and separate effects of geopolitical risk, economic policy uncertainty, and oil prices on the stock market within a multivariate time-frequency framework, focusing on Saudi Arabia as an oil-rich country. We implement the wavelet local multiple correlation approach using monthly data from January 2000 to December 2024. Our results reveal that oil prices, geopolitical risk, and economic uncertainty are key drivers of Saudi market behavior. The joint and individual effects vary significantly across time scales and frequencies. Increasing uncertainty surrounding economic policies and rising geopolitical tensions in the region have intensified the impact of oil price movements on the Saudi market. These findings have several implications for portfolio managers, foreign investors, and policymakers. When analyzing and forecasting stock returns, portfolio managers should consider oil prices, geopolitical risk, and changes in economic policy uncertainty.

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Publication Details

Journal
International Journal of Energy Economics and Policy
Published
2025-06-25
DOI
https://doi.org/10.32479/ijeep.19705
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Disentangling the Time-Frequency Nexus of Oil, Uncertainties, and Saudi Equities: A Wavelet Local Multiple Correlation Approach

Chaker Aloui, Hela Ben Hamida
International Journal of Energy Economics and Policy
Fault Detection and Control Systems
article

Disentangling the Time-Frequency Nexus of Oil, Uncertainties, and Saudi Equities: A Wavelet Local Multiple Correlation Approach

Chaker Aloui, Hela Ben Hamida
article en

Abstract

This paper examines the combined and separate effects of geopolitical risk, economic policy uncertainty, and oil prices on the stock market within a multivariate time-frequency framework, focusing on Saudi Arabia as an oil-rich country. We implement the wavelet local multiple correlation approach using monthly data from January 2000 to December 2024. Our results reveal that oil prices, geopolitical risk, and economic uncertainty are key drivers of Saudi market behavior. The joint and individual effects vary significantly across time scales and frequencies. Increasing uncertainty surrounding economic policies and rising geopolitical tensions in the region have intensified the impact of oil price movements on the Saudi market. These findings have several implications for portfolio managers, foreign investors, and policymakers. When analyzing and forecasting stock returns, portfolio managers should consider oil prices, geopolitical risk, and changes in economic policy uncertainty.

International Journal of Energy Economics and PolicyVol. 15(4)
Prince Sultan University (SA), Imam Mohammad ibn Saud Islamic University (SA)
Al-Imam Muhammad Ibn Saud Islamic University
Openalex Percentile: Top 84%
Fault Detection and Control Systems
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Disentangling the Time-Frequency Nexus of Oil, Uncertainties, and Saudi Equities: A Wavelet Local Multiple Correlation Approach — Chaker Aloui, Hela Ben Hamida · International Journal of Energy Economics and Policy (2025) | TGRS Research Map | TGRS