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

Abstract

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.

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“…For more details, background, and applications of wavelet theory in finance, economics, management, and actuarial sciences, the readers may refer to the works in [46][47][48][49][50][51][52][53]66,67,[71][72][73][74][75][76][77][78][79][80][81][82][83][84].…”

“…Backgrounds and details on multifractal analysis of financial (time) series, DFA, MDFA, and WMDFA may be found in [46,70,85,86,[96][97][98][99][100][101][102][103][104][105].…”

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