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In academic studies, the integration of artificial intelligence (AI) and machine learning in the field of economics and finance has revolutionized research methodologies and enhanced the understanding of complex economic phenomena. Researchers can now analyze vast amounts of data more efficiently, identify patterns and trends, and develop predictive models with greater accuracy. This enables academics to delve deeper into economic theories, test hypotheses, and make more informed policy recommendations. Furthermore, the use of AI and machine learning algorithms in academic studies can lead to new insights, innovative research approaches, and interdisciplinary collaborations.
The leading article of this special issue, “Finance research over 40 years: What can we learn from machine learning?”, investigated on the topic distributional features of the research in finance over the past 40 years. This is the most thorough investigation on such a large field about the research topics, authorship distributions, using the method of machine learning. The authors have conducted a study applying machine learning models to analyze a data set comprising 20,185 finance articles published across 17 finance journals from 1976 to 2015....