Stock Market Prediction with Artificial Intelligence Techniques in Recession Times

This study contributes to the literature on AI-based stock market forecasting by highlighting the potential of AI-based stock market forecasting in identifying investment opportunities in uncertain times. Globalization and internet access have facilitated portfolio diversification across regions and this paper examines the application of artificial intelligence (AI) in identifying the best global market indices for investment during a recession. The study evaluates markets such as China, the United States, and Japan, as well as emerging markets such as Brazil and Mexico with the aim of making an immediate investment decision. The results suggest that support vector machine and random forest techniques are effective for stock price forecasting, and the S&P BMV IPC Index has been identified as an attractive option. However, real-time data may influence this result, and NASDAQ may offer a better outlook. The research highlights the value of AI-based forecasting in enabling informed investment decisions, portfolio diversification, and capturing opportunities across geographies during downturns.