Geopolitical risk and the Saudi stock market: Evidence from a new wavelet packet multiresolution cross-causality

Saâdaoui, Foued; Jabeur, Sami Ben; Goodell, John W.

doi:10.1016/j.frl.2023.103654

Cited by 18 publications

(4 citation statements)

References 13 publications

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“…The Kingdom of Saudi Arabia (KSA) is the largest oil exporter and the fifth largest natural gas reserves globally [ 110 ]. It also plays a political role, which makes it an important global actor [ 111 ]. It is also the most influential member of the OPEC + group [ 111 ] and the Group of Twenty (G20) Forum, one of the world's 20 largest economies.…”

Section: Discussionmentioning

confidence: 99%

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Herding during different types of crises: The COVID-19 health crisis and Russia–Ukraine political crisis

Aljifri

2024

Heliyon

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Section: Discussionmentioning

confidence: 99%

“…It also plays a political role, which makes it an important global actor [ 111 ]. It is also the most influential member of the OPEC + group [ 111 ] and the Group of Twenty (G20) Forum, one of the world's 20 largest economies. Moreover, the KSA is one of the world's largest economies.…”

Section: Discussionmentioning

confidence: 99%

Herding during different types of crises: The COVID-19 health crisis and Russia–Ukraine political crisis

Aljifri

2024

Heliyon

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“…This technique decomposes the original signal into several modes, which are then used to extract features that are combined into a global matrix for machine learning analysis. 26 MODWPT is an advanced version of the Discrete Wavelet Transform (DWT), which is widely used for analyzing signals in the time-frequency domain. The DWT decomposes a signal into approximation and detail coefficients using high-pass and low-pass filters, which are then sampled by a factor of 2.…”

Section: Maximal Overlap Discrete Wavelet Packet Transformmentioning

confidence: 99%

“…This technique decomposes the original signal into several modes, which are then used to extract features that are combined into a global matrix for machine learning analysis. 26…”

Section: Signal Processing and Feature Extractionmentioning

confidence: 99%

Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier

Rahmoune,

Amine Sahraoui,

Gougam

et al. 2023

Advances in Mechanical Engineering

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The evolution of industrial systems toward Industry 4.0 presents the challenge of developing robust and accurate models. In this context, feature selection plays a pivotal role in refining machine learning models. This paper addresses the imperative of accurate fault diagnosis in industrial systems, focusing on air compressors. These systems, vital for efficient operations, demand early fault detection to prevent performance degradation. Conventional methods often encounter challenges due to the occurrence of similar failure patterns under comparable conditions. To address this limitation, our approach delves into a more complex scenario, where air compressors operate under diverse fault conditions. This study introduces novel feature selection criteria achieved through a fusion of the Maximal Overlap Discrete Wavelet Packet Transform (MODWPT), the Harris Hawks Optimization (HHO) algorithm, and the Least Squares Support Vector Machine (LSSVM) classifier. The synthesis of these components aims to bolster the multi-fault diagnosis accuracy and stability for each fault class. The evaluation focuses on key statistical metrics—minimum, maximum, mean, and standard deviation. Experimental outcomes underscore the method’s superiority over traditional feature selection techniques. The approach excels in accuracy and stability, particularly across various fault categories, affirming the efficacy and resilience of the new criteria. The symbiotic integration of MODWPT, HHO, and LSSVM within our framework highlights its potential to elevate classification performance in the realm of industrial fault diagnosis.

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Fossil and renewable energy, conflict, economic growth, and military expenditure: the case of algeria

Mohamed,

Meriane

2024

Environ Econ Policy Stud

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Geopolitical risk and the Saudi stock market: Evidence from a new wavelet packet multiresolution cross-causality

Cited by 18 publications

References 13 publications

Herding during different types of crises: The COVID-19 health crisis and Russia–Ukraine political crisis

Herding during different types of crises: The COVID-19 health crisis and Russia–Ukraine political crisis

Enhancing air compressors multi fault classification using new criteria for Harris Hawks optimization algorithm in tandem with MODWPT and LSSVM classifier

Fossil and renewable energy, conflict, economic growth, and military expenditure: the case of algeria

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