Nos derniers articles

"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."

"Estimations of model parameters are presented under Bayesian framework using a combination of Gibbs sampler and Metropolis-Hastings algorithm. Predictions and applications of the proposed model in enterprise risk management and cyber insurance rate filing are discussed."

"We show how to use Schelling’s focal points together with Kahneman & Tversky’s reference points and related concepts from behavioural economics to complement technical innovations and improve threat detection and deterrence."

"... this book chapter evaluates how policymakers' approaches to systemic risk regulation in insurance have evolved since the crisis. It tracks how international standard-setting organizations and U.S. regulators initially relied on the entity-based approach, using discretionary methodologies for identifying specific nonbank firms, including insurers, that were systemically significant. It then shows how, in response to backlash, international and U.S. policymakers abruptly ceased entity-based designations and purported to shift their focus to an activities-based approach to nonbank systemic risk."

"... we map out key strategic and normative dilemmas that regulators must navigate in regulating the development and application of AI."