Finance research over 40 years: What can we learn from machine learning?
Journal
International Studies of Economics
Journal Volume
19
Journal Issue
4
Start Page
472
End Page
507
ISSN
2831-3224
Date Issued
2024-12
Author(s)
Wang, Zigan
Abstract
We apply machine learning models to a universe of 20,185 finance articles published between 1976 and 2015 on 17 finance journals, and objectively identify 38 research topics. The financial crisis, hedge/mutual fund, social network, and culture were the fastest growing topics, while market microstructure, initial public offering, and option pricing shrank most from 2006 to 2015. We also list each topic's most cited papers, and present the fastest-growing topics among the universe of 130,547 SSRN working papers. Moreover, we find a bibliometric regularity: the number of researchers covering n topics is about twice the number of researchers covering n + 1 topics.
Subjects
academic profession
finance research
machine learning
network analysis
topic analysis
Publisher
Wiley
Type
journal article