There is a new wave of research being done in the field of finance that makes use of artificial intelligence (AI) and machine learning (ML). Too far, however, no review has provided a comprehensive overview of this study's history. In order to fill this informational void, we give a survey of current artificial intelligence and machine learning projects in the financial sector. We estimate the subject organization of AI and ML research in economics from 1986 through April of 2021 using co-citation and bibliometric-coupling analysis. We find three broad categories of finance scholarship that are approximately identical for both modes of study, including (1) portfolio creation, valuation, and investor behaviour; (2) financial fraud and distress; and (3) sentiment inference, prediction, and planning. We also use co-occurrence and fusion analyses to identify trends and research areas in the field of artificial intelligence and machine learning applied to the financial sector. Our findings offer an evaluation of AI and ML for the financial sector.

Bibliometric analysis, Artificial intelligence, learning, Finance, Machine, Review.