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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基于小波的社交媒体对经济状况影响的方法：沙特阿拉伯2030年愿景案例

本文提出了一种小波方法来研究电子媒体对经济状况的影响。更准确地说，是将小波技术与传统方法相比较来分析市场中的经济指标。该技术首先包括从不精确的情况（噪声）中过滤数据，以构造下一个小波去噪的列联表。接下来，将阈值处理过程应用于这样的表以提取基本信息搬运程序。在阈值化之前和之后，最终对生成的表进行对应分析。作为研究案例，在基于电子和社交媒体的经验部分中考虑了KSA 2030愿景。研究了有关2030年贸易愿景的电子媒体文本对沙特和全球经济的影响。回想一下，沙特市场是海湾合作委员会大陆上最重要的代表市场。它对经济具有区域和全球影响，此外，它还具有许多政治，经济和金融运动的特征，例如全球经济NEOM项目。本文提供的研究结果可用于预测海湾合作委员会地区市场的未来状况，因此可为投资者决定是否在这些市场进行投资提供指导。