arXiv (All)
open access
Assessing the impact of climate change and rising temperature on life insurance portfolios
Climate change may materially affect long-term life insurance liabilities by altering both the level and seasonal pattern of mortality. This article develops a multi-population mortality framework that combines a Hermite spline model with a distributed lag non-linear model to capture age-, region-,
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Using SPI and SPEI for baseline probabilities and seasonal drought prediction in two agricultural regions of the Western Cape, South Africa#219862
- seabbs/ecdc-weekly-growth-forecasts#1053782
- Machine learning redevelopment of GRACE, ACEF, and TIMI scores for 6-month mortality.#396041
- Machine learning based prediction of life expectancy#955918
- Who is highly distressed and impaired by climate change? Cross-national cut-scores and a brief screener for population research#413067
Record · ID 1116635
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive