Overview of publications on liquidity risk management in AI dimensions.

Abstract

The bibliometric study allows quantifying the impact in reproductions of the scientific study of a topic; in this case, related to the management and prevention of liquidity risk, from the preliminary point, data extracted from the Dimensions.ai platform was used, information is generated in number of journals, countries and publications between 2020 and 2024, as a keyword “Liquidity Risk” according to the topics related to the financial field. In the initial analysis, 17,508 records were collected, but by applying filters by years, type of articles, subject areas and total access, 2,871 records were obtained. This research highlights liquidity risk management reflects its importance in improving financial efficiency and decision making in organizations.