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.
Technology and automation in financial trading: A bibliometric review
Carè, Rosella
Conceptualization
;
2024-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
