Impact, sur l’assurance, des catastrophes liées au réchauffement climatique

Selon les scientifiques, le réchauffement climatique entraînera une hausse croissante de la fréquence et de la violence des tempêtes, des vagues de chaleur, des inondations, des tornades et des cyclones dans certaines régions de la planète, tandis que d'autres régions connaîtront des vagues de froid ou de sécheresse. Bien que le changement climatique aura un […]

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Établissement des prix d’assurance à l’aide de renseignements commerciaux de nature exclusive

L’information relative à la probabilité et à la sévérité des accidents automobiles dans le cas de détenteurs de polices d’assurance aide les compagnies d’assurance à fixer les prix de leurs polices d’assurance. Plus ces données sont exactes et de grande valeur prédictive, plus les prix de l’assurance sont précis et justes. Des avancées récentes, comme […]

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Global Warming Catastrophes Impact on Insurance

Scientists believe that global warming will trigger increasingly more frequent and violent storms, heat waves, flooding, tornadoes and cyclones in some areas of the globe, while other areas will slip into cold or drought. Although the effects of climate change will impact every segment of the business community, the insurance industry is especially at risk. […]

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Insurance Pricing with Proprietary Information

Information regarding the likelihood and severity of automobile accidents for individual insurance consumers enables insurance companies to price insurance policies. The more accurate and predictive the data, the more accurate and fair insurance prices are. Modern advances, such as telematics technology, allow insurers to improve the quality of their information. This improved information has an […]

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Parameter Uncertainty and Model Adequacy for GLMs Applied to Property/Casualty Insurance Data

Accurate forecasting is of crucial importance in managing insurance risks and ensuring a solvent and profitable operation. In recent years the property/Casualty insurance industry has adopted generalized linear models (GLMs) to improve the fit and prediction accuracy of their insurance portfolio models. Yet, the interdependence between the different insurance covers included in packaged products, such […]

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GIS-based Wildfire Catastrophic Risk Economic Capital Modelling

Models used for Wildfire catastrophe insurance as of today are not considering substantial information, such as geographic information and environmental constraints. The objective of the project is to establish a theoretical framework and an empirical process to enhance Aviva Canada’s current Wildfire Economic Capital (EC) model, to be able to determine the amount of capital […]

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