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...
17 févr. 2023
A Study of Approach for Investors to Identify Risks and Opportunities Based On ML Algorithms
"... studies in various findings suggests a positive link between ESG and the financial performance of an organization." LIRE
10 févr. 2023
Machine Learning methods in climate finance: a systematic review
"Considering the proliferation of articles in this field, and the potential for the use of ML, we propose a review of the academic...
31 janv. 2023
Validation of machine learning based scenario generators
"Machine learning methods are getting more and more important in the development of internal models using scenario generation. As...
26 janv. 2023
Artificial Intelligence Technologies within the Risk-based Audit Approach
"This study proposes a comprehensive method (with representative AI-Technologies as a data basis) for the structured and targeted...
16 janv. 2023
Imbalanced Data Issues in Machine Learning Classifiers: A Case Study
"... the methods discussed in this paper can apply to general machine learning classifiers in applications with imbalanced data issues,...
11 janv. 2023
Machine Learning for Categorization of Operational Risk Events Using Textual Description
"... an overview of how machine learning can help in categorizing textual descriptions of operational loss events into Basel II event...
9 janv. 2023
A Primer on Anomaly and Fraud Detection in Blockchain Networks
"... blockchain networks are vulnerable to anomalies and frauds that can have serious consequences for the integrity and security of...
20 déc. 2022
Prediction of Auto Insurance Risk Based on t-SNE Dimensionality Reduction
"... we develop a framework based on a combination of a neural network together with a dimensionality reduction technique t-SNE...
15 déc. 2022
The European AI Liability Directives – Critique of a Half-Hearted Approach
"... if enacted as foreseen, AI liability in the EU will primarily rest on disclosure of evidence mechanisms and a set of narrowly...
31 oct. 2022
Supply Chain Characteristics as Predictors of Cyber Risk: A Machine-Learning Assessment
"... supply chain network features add significant detection power to predicting enterprise cyber risk, relative to merely using...
21 oct. 2022
Artificial Intelligence for Sustainable Finance: Why it May Help
"This paper reviews the use of AI in the ESG field: textual analysis to measure firms’ ESG incidents or verify the credibility of...
4 oct. 2022
Malware Classification Using Feature Reduction Method and Autoscaling
"These attacks are unknown to the human eye due to malicious intent to harm any underlying infrastructure. So, to overcome the problems...
3 oct. 2022
Using Knowledge Distillation to improve interpretable models in a retail banking context
" Predictive machine learning algorithms used in banking environments, especially in risk and control functions, are generally subject to...
18 août 2022
Scope 3 Emissions: Data Quality and Machine Learning Prediction Accuracy
"We conclude that users of the Scope 3 emission datasets should consider data source, quality and prediction errors when using data from...
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