Artificial Intelligence for Portfolio Selection: A Bibliometric Review

Technology has transformed nearly every field. Financial analysts are using FinTech for collecting data, extracting valuable insights, making predictions. The paper explores research in the field of artificial intelligence for portfolio selection. The bibliometric analysis was done using Scopus database. VOS Viewer software was used for bibliometric analysis. China, Singapore, USA and India emerged as the prominent cited countries. Fusion strategy of using combination of algorithms provide better results as compared to traditional portfolio techniques. Four clusters emerged out of bibliographic coupling. Multicriteria Portfolio Framework, Reversion Strategy for Portfolio Selection, Mean Variance Fusion Framework, Portfolio Optimization under Constraints. It was found that AI based portfolios performed better than traditional portfolios.