Natural Disaster Risk and Firm Performance: Text Mining and Machine Learning Approach
Advanced #machinelearning models were found to be more effective than #linearregression in predicting firm performance under...
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20 juil. 2023
Hybrid Machine Learning Algorithms for Risk Assessment in Insurance Industry: Empirical Review
#machinelearning #algorithms are increasingly for #riskassessment in the #insuranceindustry, with hybrid methods often outperforming...
26 juin 2023
Machine Learning and IRB Capital Requirements: Advantages, Risks, and Recommendations
This paper examines the use of #machinelearning methods in the context of #banks' #capitalrequirements, specifically the internal Ratings...
30 mai 2023
CEO Risk-Culture, Bank Stability and the Case of the Silicon Valley Bank
"We use the recently failed #svb as a case study. Our [#machinelearning #textanalysis] findings indicate a weaker emphasis on...
17 mai 2023
Measuring Ai Safety
This paper addresses the challenges associated with the adoption of #machinelearning (#ml) in #financialinstitutions. While ML models...
13 avr. 2023
Suggestions for a Revision of the European Smart Robot Liability Regime
This article discusses the need for #regulation of #robots and #ai in #europe, focusing on the issue of #civil #liability. Despite...
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