AI-Driven Automated Stock Market Forecasting: Mathematical Models and Applications

Dear Colleagues,

This Special Issue focuses on the broad topic of “AI-Driven Automated Stock Market Forecasting: Mathematical Models and Applications” and includes novel research on the emerging challenges that are currently occurring in these days business environment, having as major target revolutionizing the stock market. There are pivotal aspects that draw specialists’ and researchers’ attention and interest today when centering on offering a better and more in-depth understanding of the most recent trends on the marketplace, namely: the artificial intelligence (AI) stock trading, as a valuable game changer for investors; the impact of AI in enhancing predictive behavior and developing mathematical models capable to forecast future stock trends; the power of creating and developing AI stock prediction software that would depend on the rules of statistical analysis; and the role of multifactor prediction models for the stock market analysis as well as the trading applications.    

Theoretical and empirical articles on the topic of AI-driven automated stock market forecasting, with a particular emphasis on mathematical models and applications are welcome, to cover the specific objectives of the journal. Moreover, connections with sustainability assessment instruments and methods are encouraged, since navigating the complex landscape of AI-driven trading ought to consider the aspects embodied by the Sustainable Development Goals.

Contributions focusing on but not limited to the implications of AI-driven automated stock market forecasting, use of AI in stock trading, mathematical modeling stock market, machine learning efficient algorithms, AI-driven financial market analysis, automated training, the stock market’s AI revolution, effectiveness of AI in stock market, emerging trends in AI-based stock market predictions, predictive maintenance and AI, preductive analytics and AI, AI stock management, are encouraged.

We are interested in conceptual, theoretical, methodological, empirical, and systematic review studies.

Prof. Dr. Cristina Raluca Gh. Popescu
Guest Editor

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