Studies Conducted at Neoma Business School on Computing Recently Reported (A Comprehensive Review of Causal Inference In Banking, Finance, and Insurance): Computers – Computing

Computer News Today

2025 DEC 03 (NewsRx) -- By a News Reporter-Staff News Editor at Computer News Today -- A new study on Computers - Computing is now available. According to news originating from Reims, France, by NewsRx correspondents, research stated, “This is a comprehensive survey of the applications of causal inference in the Banking, Financial Services and Insurance (BFSI) domain based on 45 papers published from 1992 to 2023.”

Our news journalists obtained a quote from the research from Neoma Business School, “It categorizes papers into (i) Banking and risk management (ii) Finance (covering investment, asset and portfolio management; behavioral finance and time series), (iii) Financial markets and (iv) Insurance. Exploring methods such as Bayesian Causal Network, Granger Causality, and counterfactuals, the article emphasizes significance of causal inference in explaining predictions of AI/ML models.”

According to the news editors, the research concluded: “This survey also recommends promising future research directions in the intersection of causal inference and these domains making it helpful for the professionals working therein.”

This research has been peer-reviewed.

For more information on this research see: A Comprehensive Review of Causal Inference In Banking, Finance, and Insurance. ACM Computing Surveys, 2025;57(12):1-36. ACM Computing Surveys can be contacted at: Assoc Computing Machinery, 1601 Broadway, 10TH Floor, New York, NY, USA.

The news correspondents report that additional information may be obtained from Vadlamani Ravi, Neoma Business School, Reims, Champagne Arden, France. Additional authors for this research include Satyam Kumar, Yelleti Vivek and Indranil Bose.

The direct object identifier (DOI) for that additional information is: https://doi.org/10.1145/3736752. This DOI is a link to an online electronic document that is either free or for purchase, and can be your direct source for a journal article and its citation.

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