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A Wavelet-Based Method for the Impact of Social Media on the Economic Situation: The Saudi Arabia 2030-Vision Case

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Deanship of Public Relations and Media, University of Tabuk, Tabuk 47512, Saudi Arabia
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Department of Mathematics, Faculty of Science, University of Tabuk, Tabuk 47512, Saudi Arabia
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Department of Mathematics, Higher Institute of Applied Mathematics and Computer Science, University of Kairouan, Kairouan 3100, Tunisia
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Laboratory of Algebra, Number Theory and Nonlinear Analysis, LR18ES15, Department of Mathematics, Faculty of Sciences, University of Monastir, Monastir 5019, Tunisia
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Department of Quantitative Methods, Faculty of Economic Sciences and Management, University of Sousse, Sousse 4023, Tunisia
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Author to whom correspondence should be addressed.
Academic Editor: Christophe Chesneau
Mathematics 2021, 9(10), 1117; https://doi.org/10.3390/math9101117
Received: 1 March 2021 / Revised: 7 May 2021 / Accepted: 7 May 2021 / Published: 14 May 2021
(This article belongs to the Section Financial Mathematics)
In the present paper, a wavelet method is proposed to study the impact of electronic media on economic situation. More precisely, wavelet techniques are applied versus classical methods to analyze economic indices in the market. The technique consists firstly of filtering the data from unprecise circumstances (noise) to construct next a wavelet denoised contingency table. Next, a thresholding procedure is applied to such a table to extract the essential information porters. The resulting table subject finally to correspondence analysis before and after thresholding. As a case of study, the KSA 2030-vision is considered in the empirical part based on electronic and social media. Effects of the electronic media texts about the trading 2030 vision on the Saudi and global economy has been studied. Recall that the Saudi market is the most important representative market in the GCC continent. It has both regional and worldwide influence on economies and besides, it is characterized by many political, economic and financial movements such as the worldwide economic NEOM project. The findings provided in the present paper may be applied to predict the future situation of markets in GCC region and may constitute therefore a guide for investors to decide about investing or not in these markets. View Full-Text
Keywords: textual analysis; media; correspondence analysis; wavelet thresholding; GCC markets; KSA 2030-vision textual analysis; media; correspondence analysis; wavelet thresholding; GCC markets; KSA 2030-vision
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MDPI and ACS Style

Balalaa, M.S.; Ben Mabrouk, A.; Abdessalem, H. A Wavelet-Based Method for the Impact of Social Media on the Economic Situation: The Saudi Arabia 2030-Vision Case. Mathematics 2021, 9, 1117. https://doi.org/10.3390/math9101117

AMA Style

Balalaa MS, Ben Mabrouk A, Abdessalem H. A Wavelet-Based Method for the Impact of Social Media on the Economic Situation: The Saudi Arabia 2030-Vision Case. Mathematics. 2021; 9(10):1117. https://doi.org/10.3390/math9101117

Chicago/Turabian Style

Balalaa, Majed S., Anouar Ben Mabrouk, and Habiba Abdessalem. 2021. "A Wavelet-Based Method for the Impact of Social Media on the Economic Situation: The Saudi Arabia 2030-Vision Case" Mathematics 9, no. 10: 1117. https://doi.org/10.3390/math9101117

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