This article highlights the importance of #cybersecurity in contemporary business models and the need for #legal practitioners and #it professionals to work together to assess the extent to which #privacy and #security measures qualify as "appropriate" in the context of #liability #claims and actions for #damages. The article provides guidance on how to move from technical insight to legal #compliance.
Key findings:1. #masstort plaintiff lawyers do not primarily base their litigation and settlement strategy on defendants' #liabilityinsurance, except in cases of insolvency.2. Despite #insurance policies assigning control over defense to the #insurer, mass tort defendants typically retain control over their defense, even when they recover under these policies.3. Mass tort defendants usually use their own funds to settle #claims, seeking indemnification from liability insurers, if available, at a later stage.4. Many mass tort plaintiff law firms rely on non-recourse litigation funding, reminiscent of early forms of commercial insurance like bottomry and respondentia. An emerging insurance market is reducing the cost of this funding and may eventually replace it.
Logistic #regressionanalysis identified significant #predictors for attitudes towards relocation and #floodinsurance decisions. The study found that low-magnitude #flood #scenarios had predictive models, while high-magnitude flooding did not. Flood insurance ownership emerged as a significant predictor for staying after flooding.
#generativeai AI offers opportunities to enhance #operationalriskmanagement #orm through its ability to analyze #unstructureddata, #simulate #risk #scenarios, and #automate tasks. However, integrating this technology into ORM presents challenges, including #dataquality, #interpretability, #performance validation, #ethicalconsiderations, and organizational readiness.
#generativeai tools offer automation and innovative solutions but carry risks like #intellectualproperty infringement, #offensive or #discriminatory content generation, #databreaches, #financialfraud, and #manipulation.
"Our study extends the research on the determinants of corporate #climaterisk and impact of firm-level #politicalrisk on various corporate policies and decision-making processes. It further motivates future research on the interplay among these #risks and their effects on #finance."
Well-capitalized #banks play a crucial role in supporting economic adaptation to #weather-induced #labor #productivity #risk.
This research evaluates different regression models to predict #flood-induced #insuranceclaims, using the #us #national #floodinsurance Program (#nfip) dataset from 2000 to 2020. The models studied include #neuralnetworks (Conditional Generative Adversarial Networks), #decisiontrees (Extreme Gradient Boosting), and #kernel-based regressors (#gaussian Process). The study identifies key predictors for regression, highlighting factors that influence flood-related financial damages.
The #creditsuisse #coco wipeout occurred when the #finma announced that the contingent convertible bonds that were part of the Credit Suisse Additional #tier1 (AT1) #regulatory capital had been written off.FINMA’s decision creates a healthy precedent: restoring #financialdiscipline in AT1 #bondmarkets by reminding investors that their investment is exposed to #creditrisk and that #duediligence is advised before investing in these products.
"We use #naturallanguageprocessing to #measure #supplychainrisk (#scr) faced by #us firms, as expressed in narratives of quarterly earnings conference calls."