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."
"#ifrs17 introduces the concept of a #riskadjustment that compensates #insurers for the #uncertainty about the amount and timing of the cash flows that arise from #nonfinancial#risks. The method for its calculation is not prescribed and several options are emerging, including #var and cost of #capital."
"This paper presents an intellectual exchange with #chatgpt, … , about correlation pitfalls in #riskmanagement. … Our findings indicate that ChatGPT possesses solid knowledge of basic and mostly non-technical aspects of the topic, but falls short in terms of the mathematical goring needed to avoid certain pitfalls or completely comprehend the underlying concepts."