About The Credibility Report
The Credibility Report is a weekly newsletter for actuaries who want depth, not noise. It curates the most important research, market developments, and regulatory signals across the global insurance landscape.
Why “credibility”?
In actuarial science, credibility theory is about weighting new data against prior experience to make better decisions. That is the editorial philosophy here too: the newsletter filters noisy information and gives more weight to signals that are durable, decision-relevant, and worth an actuary’s time.
The goal is not to dump links into your inbox. It is to help you understand what changed, why it matters, and where the practical actuarial implications actually are.
Who it is for
- Pricing, reserving, and capital actuaries
- Reinsurance and catastrophe specialists
- Model risk and governance leads
- Insurance professionals tracking ML and regulation
What each edition covers
Research spotlight
Academic papers, arXiv work, and methods that could realistically change actuarial practice.
Market intelligence
Reinsurance, ILS, carrier results, underwriting conditions, and capital-market signals that affect decision-making.
Regulation and standards
IFRS 17, Solvency II, fairness testing, AI governance, and emerging standards with real implementation impact.
Practical takeaways
Decision-oriented summaries that translate headlines and papers into concrete actions for actuaries and risk teams.
Who makes this?
The Credibility Report is curated by InsureAI, an AI-powered actuarial software platform built for insurance workflows.
AI helps surface and summarize candidate material, but the newsletter is organized around actuarial relevance, decision usefulness, and review discipline rather than raw aggregation.
Latest issue
Edition 26: Reinsurance Renewals, Softening Rates, and Robust Insurance Design
Marsh reports global commercial insurance rates down 5% in Q1 2026, April renewals show record reinsurance capital and buyer-favorable property-cat terms, NFIP creates a September flood-insurance cliff, and new research on Bregman-Wasserstein robust insurance design sharpens the model-ambiguity question.
Read the latest issueContact
Questions, corrections, or suggestions? Email hello@credibilityweighted.com .