Coverage of academic papers and research directions relevant to UK insurance pricing. What the literature says, what it omits, and whether the methods survive contact with messy real-world data. 6 articles.
A stochastic SIR model calibrated to LockBit ransomware data shows why treating cyber losses as independent events badly underestimates portfolio-level risk.
Balzer and Benlahlou (arXiv:2603.14543) extend gradient boosting to spatial panel data. Here is what it does, how it compares to BYM2 and Blier-Wong, and when a UK pricing team ...
Samuel Clark's MDMx organises the Human Mortality Database as a four-way tensor and applies Tucker decomposition to produce structurally coherent mortality models across 50 coun...
Why the standard flat EV surcharge is wrong in two directions simultaneously, what the claims data actually shows, and how to build a severity model that handles the bimodal str...
Conformal prediction gives finite-sample valid 99.5% risk bounds for individual policies — useful for premium risk SCR validation and PRA SS1/24 backtesting, but not a replaceme...
Li and Castro-Camilo (arXiv:2603.23309, March 2026) unify inverse probability weighting and extreme value extrapolation in a single estimating equation. Here is what it does, wh...
TabPFN v2 (Nature 637:319–326, 2025) does zero-shot prediction on datasets up to 10K rows. Here is what that actually means for the pricing segments where your current models ar...
Avanzi, Richman, and Wüthrich reformulate individual claims reserving as a Markov Decision Process. We explain why it matters, what it actually does, and when a UK reserving act...
Chevalier & Côté (EAJ 2025) benchmark nine GBM variants on five insurance datasets. We read it so you don't have to, then show where insurance-distributional fits in.
Laub, Pho and Wong's ANAM paper enforces smoothness and monotonicity architecturally, not as penalties. Here is what the mechanism actually is, why it matters more than the benc...