Results 121 to 130 of about 68,266 (270)

Artificial Intelligence in Climate and Sustainable Finance: A Blessing or a Curse?

open access: yesJournal of Economic Surveys, EarlyView.
ABSTRACT While there are concerns regarding the sustainability of artificial intelligence (AI), it is a potential ally in the transition toward a greener future. It offers advanced tools for data analysis; risk modeling; and environmental, social, and governance (ESG) assessment.
Filippo di Pietro   +3 more
wiley   +1 more source

Evaluating key predictors of breast cancer through survival: a comparison of AFT frailty models with LASSO, ridge, and elastic net regularization

open access: yesBMC Cancer
Background Frailty models are extensively utilized in survival analysis to address unobserved heterogeneity among individuals. However, selecting the most robust model for survival prediction, especially in the context of high-dimensional data, continues
Senyefia Bosson-Amedenu   +3 more
doaj   +1 more source

Breaking the Mortality Curve: Investment-Driven Acceleration in Life Expectancy and Insurance Innovation

open access: yesRisks
Capital investment in longevity science—research targeting the biological processes of aging through interventions like cellular reprogramming, AI-driven drug discovery, and biological age monitoring—may create significant divergence between traditional ...
David M. Dror
doaj   +1 more source

Welfare consequences of the compound risks of index insurance

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract Index insurance is an attractive variant on the standard insurance contract that allows the determination of a loss event to be defined by one or more thresholds on an index that is positively correlated with actual losses. Index insurance also comes with a compound risk, basis risk.
Glenn Harrison   +4 more
wiley   +1 more source

Application of Hierarchical/Multilevel Models and Quality of Reporting (2010–2020): A Systematic Review

open access: yesThe Scientific World Journal
Introduction. Multilevel models have gained immense popularity across almost every discipline due to the presence of hierarchy in most data and phenomena.
Killian Asampana Asosega   +3 more
doaj   +1 more source

Basis risk, social comparison, perceptions of fairness, and demand for insurance: A field experiment in Ethiopia

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract Index insurance lowers agricultural risk but covers only covariate risks. Since farmers do not have complete insurance, they may develop mistrust of insurance when experiencing crop losses and not receiving payouts. Although recent innovations in remote sensing enable the provision of more complete insurance including coverage for ...
Berber Kramer   +2 more
wiley   +1 more source

Multimodal deep learning approaches for improving polygenic risk scores with imaging data

open access: yesScientific Reports
Enhancing the predictive accuracy of polygenic risk scores (PRS) can be achieved by incorporating imaging data, which captures disease-related phenotypic variations.
Hyeongmu Kim, Geon Lee, Wonil Chung
doaj   +1 more source

From gateway to value ladder—The curious case of online mutual aid in China

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract This study examines how InsurTech‐enabled information provision, specifically the disclosure of claimant information previously unavailable in conventional insurance, influences individuals' insurance uptake. We leverage Mutual Aid (MA) platforms as a natural context to examine how socially framed loss information, peer influence, and salience
Ze Chen   +3 more
wiley   +1 more source

Validation of machine learning based scenario generators

open access: yesJournal of Risk and Insurance, EarlyView.
Abstract Machine learning (ML) methods are becoming increasingly important for designing economic scenario generators for internal models. Validating data‐driven models requires different methods than validating classical, theory‐based models. We discuss two novel aspects of such validation: first, checking the multivariate distribution of risk factors,
Gero Junike, Solveig Flaig, Ralf Werner
wiley   +1 more source

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