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"... this paper proposes a new risk variable elimination method as well as a real-time road risk model design framework and concludes that claim history will be regarded as a "noise" factor and deprecated in the Pay-How-You-Drive model."
"Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the industry’s vast stores of sensitive data on policyholders and centrality in societal progress and innovation."
"As a result of a regulatory focus on quantitative capital requirements, it also finds management of people risk subsumed by this regulatory approach, and evidence that the ‘embedded’ nature of people risk has hindered the development of a more comprehensive industry-wide approach to people risk management."
"The article reviews the main topics of this research, including bank efficiency, risk assessment, bank performance, mergers and acquisitions, banking regulation, customer-related studies, and fintech in the banking industry. "
"The role of regulatory agencies will be crucial to protect consumers while allowing innovation. There is currently no unified regulatory framework."
"Using several examples, the article contrasts these risk sentiments for companies that have been involved in financial fraud and the companies that have not been involved in financial fraud."
"... we disentangle GPR into its two components: geopolitical threats and geopolitical acts. We document that the effect of threats is greater than that of acts, indicating that unrealized risk is more detrimental than realized risk."
"Using regret bounds from Online Convex Optimization, we obtain rigorous guarantees on the asymptotic power of the tests for a wide range of alternative hypotheses. Our results allow for bounded and unbounded data distributions, assuming that a sub-ψ tail bound is satisfied."
"Learning under ambiguity generates asymmetric responses to news that help connect higher moments in micro and macro data. Survey evidence is increasingly used to provide direct evidence on ambiguity averse behavior, as well as to discipline quantitative models."
"... in the dual theory, reducing probability of risk and supply insurance can be complementary if the surplus is increasing in risk reduction."