Trends and Patterns in Computational Finance Forecasting

In recent years, there has been a notable increase in scholarly interest focusing on finance forecasting, particularly with the use of computational techniques like machine learning. This study employs bibliometric analysis using data extracted from the Scopus database to assess the current landscape of research in this field. The findings indicate a noticeable increase in research output, signaling growing interest in this subject. Key terms such as “Finance Forecasting,” “Machine Learning,” “Deep Learning,” and “Neural Networks” are gaining prominence. Furthermore, the United Kingdom, India, China, and the United States emerge as leading contributors to the literature in this domain. This study presents a glimpse into the study's findings, offering researchers valuable insights and visual aids to further explore this evolving field.