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This study aims to investigate to what extent the predictability of the standard and poor’s 500 (S&P 500) price levels is enhanced by investors’ sentiments extracted from social media content, specifically platform X.

Two recurrent neural network (RNN) models are developed. The first RNN model is merely based on historical records and technical indicators. In addition to the variables included in the first RNN model, the second RNN model comprises the outputs of the sentiment analysis, performed using the TextBlob library. The study was conducted between December 28, 2011, and December 30, 2021, over 10 years, to obtain better results by feeding the RNN models with a significant quantity of data by extending the period and capturing an extensive timespan.

Comparing the performance of both models reveals that the second model, with sentiment analysis inputs, yields superior outcomes. The mean absolute error (MAE) of the second model registered 72.44, approximately 50% lower than the MAE of the technical model, its percentage value, the mean absolute percentage error, recorded 2.16%, and finally, the median absolute percentage error reached a value of 1.30%. This underscores the significant influence of digital platforms in influencing the behavior of certain assets like the S&P 500, emphasizing the relevance of sentiment analysis from social media in financial forecasting.

This study contributes to the growing body of literature by highlighting the enhanced predictive power of deep learning models that incorporate investor sentiment from social media, thereby advancing the application of behavioral finance in financial forecasting.

The purpose of this study is to discover the motivating factors for cryptocurrency investment during an economic crisis in the MENA region, with reference to the economic crisis of 2019–2022, in Lebanon.

The authors used t-test, and logistic regressions on a sample of 254 Lebanese investors to differentiate between cryptocurrency investors, and non-investors. Linear regressions of a subsample of cryptocurrency investors determined the factors that explained increasing cash investment in cryptocurrencies. Data were collected from investors in Lebanon, which could limit the generalization of the research results across the MENA region.

Investors differed from non-investors in that they were male, owned investments in the stock, bond and commodity markets, had prior investment experience in cryptocurrencies, were risk-takers and had expectations of high returns. Investors increased the dollar investment in cryptocurrencies, if they were male, as they invested more funds in securities, had previously invested in cryptocurrencies and had stronger risk-taking propensity. Expectations of high returns drove investors to cryptocurrencies, but such expectations do not stimulate further cryptocurrency investment.

This study is an initial attempt to comprehend the reactions of investors in the MENA region to a currency crisis that triggered investment in cryptocurrencies following the collapse of fiat currencies, central bank default and restrictions on bank withdrawals.

The purpose of this study is to emphasize on women empowerment that leads to a new paradigm shift of Saudi woman into labor force. This study also outlines how Saudi Government has formulated several policies and reforms to empower women in the workplace, especially gender equality. Also, this study will discourse a clear idea on numerous measures initiated by Saudi Government on how to empower Saudi women in the labor force and what would be the impact of women empowerment and gender equality on Saudi economy.

The research methodology has undertaken the Saudi feminization approach that emphasizes solely on uplifting women empowerment within the context of social changes that are arising in Saudi Arabia. The data analyzed comes from the primary data statistics report that depicts 10 years of data from general authority for statistics (GaStat) for the period ranging from 2010–2016 (Q2) and 2016 –2020 along with global gender gap index (GGGI) for the period of 2006, 2017 and 2020. Additionally, data was considered from the latest articles, Saudi news, statistics revealed by “Pew Research Center,” international labor organization (ILO, 2020), which depicts the involvement of Saudi women at international level.

The data were analyzed from GaStat for the period ranging from 2010–2016 (Q2) and 2016–2020 along with GGGI for the period of 2006, 2017 and 2020 that has shown drastic changes in inspiring Saudi women empowerment pertaining to the labor market, the educational field, economic participation and gender equality. The most interesting point was that the total Saudi employed persons, especially males are double of females’ ratio. It depicts that until Q3 and Q4, 2018 females were still facing unemployment phase and their economic participation was less in comparison with male Saudis. However, there found to have a new paradigm shift; rising of Saudi women in various sectors in the year 2019 where unemployment decreased to 5.7%, labor force participation at 58.8%.

Saudi Arabia is stringing very hard to develop its economy over the next decade and beyond and have strong-minded to strengthen the contribution of women to development of society and economy. Currently, Saudi women have found ample job opportunities welcoming them in various sectors. Furthermore, they can work in numerous professions and fields that were formerly limited to men. According to Leyal Khalife (2019, July 1) and the statistics released by “Pew Research Center,” Saudi Arabia has experienced the highest growth rate – among G20 countries –of women joining the workforce in the past 20 years. The data revealed that women accounted for 23% of Saudi’s workforce in 2018 – a rise of 7% increase since 2018. Finally, today Saudi Arabia has shown the highest growth rate among G20 states, including Australia, Germany, Brazil and others.

The latest reforms emphasizes on minimizing the gender gap and inspire young girls to build a career path. This procedure specifies that Saudi female should formulate their tactics and approaches to encounter gender disparity and attain social fairness and equality not specific to education only but consider all the matters of life pertaining to context of male-dominating societies.