#machinelearning #algorithms are increasingly for #riskassessment in the #insuranceindustry, with hybrid methods often outperforming individual ones. Research has identified challenges such as tackling imbalanced datasets, selecting features, and improving interpretability. Newer methods such as #deeplearning and ensembles may further improve accuracy.
"This article provides an insightful overview of the challenges encountered by the #insuranceindustry when applying the requirements of #ifrs17 to #reinsurance contracts... By delving into specific challenges and offering potential solutions, the article aims to shed light on the intricacies of implementing IFRS 17 and the resulting mismatches in #financialreporting, including their impact on #solvencyii practices."
This paper analyzes the constraints on the #insuranceindustry in providing larger capacity for #cyberrisk #insurance. The authors argue that cyber risk is unique in that it is both information-intensive to underwrite and heavy-tailed, leading to a tension between the need to raise large amounts of external capital to finance heavy-tailed risks and the high compensation demanded by capital providers due to information frictions.
This paper claims to contribute to the understanding of #peertopeer, #decentralized distributed #insurance as a viable alternative to traditional insurance models, offering potential solutions to address market consolidation and enhance #financialinclusion through #risksharing. Further exploration and empirical studies are necessary to validate the viability and long-term implications of this emerging paradigm in the #insuranceindustry.
" We show that the U.S. insurance industry’s capacity to pay catastrophe losses is higher in 2020 than it was in 1997. Insurers could pay 98% of a $200 billion loss in 2020 in comparison to 81% in 1997."
"We develop a measure of connectedness using a multifactor model of weekly equity returns. The empirical analysis is conducted from 1973 to 2018, for 16 developed countries, at both the sectoral and institution levels. The results indicate that, unlike other sectors, the connectedness level of the insurance industry has strengthened over time. "