Local extreme weather events cause more insurance losses overall than large natural
disasters. The evidence is provided by long‐term observations of weather and insurance …

This study employs a systematic literature review to investigate how insurance data can be
applied in the analysis of Surface Water Flood events. The study firstly identifies the …

Institutional arrangements at work in the governance of natural hazard risks in Denmark,
Finland, Iceland, Norway and Sweden are reviewed and analyzed against the territorial …

Weather-related risk makes the insurance industry inevitably concerned with climate and
climate change. Buildings hit by pluvial flooding is a key manifestation of this risk, giving rise …

Climate change will affect the insurance industry. We develop a Bayesian hierarchical
statistical approach to explain and predict insurance losses due to weather events at a local …

Bayesian modeling of insurance claims for hail damage Page 1 The Annals of Applied Statistics
2024, Vol. 18, No. 4, 3091–3108 https://doi.org/10.1214/24-AOAS1925 © Institute of …

This paper considers the dependence between weather events, for example, rainfall or
snow-melt, and the number of water-related property insurance claims. Weather events …

The last few years were particularly volatile for the insurance industry in North America and
Europe, bringing a record number of claims due to severe weather. According to a 2013 …

While political debates on climate change become increasingly heated, our houses and city
infrastructure continue to suffer from an increasing trend of damages due to adverse …

The problem of identifying joint trend dynamics in multiple time series, ie, testing whether
two or more observed processes follow the same common trend, is essential in a wide …