Mercados Financieros bajo un Modelo Algorítmico de pyLDAvis

This article analyzes financial markets using pyLDAvis and the Latent Dirichlet Allocation (LDA) model to explore key topics in scientific literature from 1969 to 2025. Five main topics were identified: financial regulation and economic development, quantitative modeling, economic policy impacts, investor behavior, and global financial risks. The study highlights the importance of regulation in fostering stability and economic growth, the use of advanced technologies like neural networks to optimize price and volatility predictions, and how economic policies and psychological factors influence investment decisions. Additionally, it addresses the impact of global events such as the COVID-19 pandemic and climate change, emphasizing the need for financial strategies that integrate sustainability. This analysis provides a comprehensive view of current financial market dynamics and emerging challenges.