 Technology and automation in financial trading: A bibliometric reviewRosella Carè and Douglas Cumming Research in International Business and Finance, 2024, vol. 71, issue C Abstract: In this bibliometric study, the significant transformations in the financial sector brought about by automation and technological advancements from 1984 to 2022 are explored. A total of 863 articles is analyzed, and a consistent upward trajectory in research focused on fast trading technologies and algorithmic strategies is identified. The key findings reveal that the research is grouped into five thematic clusters, ranging from algorithmic trading and machine learning to systemic risks associated with high-frequency trading and the impacts of algorithmic trading on market quality. This study encapsulates the evolving landscape of financial markets, emphasizing emerging trends in cryptocurrencies and machine learning, which will continue to shape future research directions. In conclusion, five macroareas and ten specific future research areas are proposed. Keywords: Algorithmic trading; Electronic trading; Automated trading; Trading algorithms; High-frequency trading; Computerized trading; Bibliometric analysis; Nonhuman trading (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:riibaf:v:71:y:2024:i:c:s0275531924002642 DOI: 10.1016/j.ribaf.2024.102471 Access Statistics for this article Research in International Business and Finance is currently edited by T. Lagoarde Segot More articles in Research in International Business and Finance from Elsevier |
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