Vol. 2026, 2026July 16, 2026 EDT
Quantifying Social Inflation in Liability Insurance with Advanced Statistical Methods
Quantifying Social Inflation in Liability Insurance with Advanced Statistical Methods
Nuclear verdictsJury awardsLitigation costsTort costsClaim severityReinsuranceTail riskValue-at-Risk (VaR)Logistic regressionQuantile regression
Articles in Vol. 2026, 2026
Vol. 2026, 2026
- A Scalable Toolbox for Exposing Indirect Discrimination in Insurance RatesOlivier CôtéMarie-Pier CôtéArthur Charpentier
- The Reserving Impact of the COVID-19 PandemicChoya Everett
- Leveraging Large Language Models for Unstructured Claims Data AnalysisRobert LieberthalRichard TranVietbao PhanJawand SinghElizabeth Sottung
- A Quantitative Approach to Evaluate Climate Change Impact on Typhoon Risk with a Case Study in the Western North Pacific BasinYizhong QuZhongdong DuanXiaoxuan (Sherwin) LiLei PeiJi (Jeff) Yao
- The TeamAnalyst AI Tool: Your Personal P&C Actuarial TeamBryce ChamberlainEsther BeckerKen ZessoJack TarantinoChris McKenna
- Quantifying Social Inflation in Liability Insurance with Advanced Statistical MethodsTsz Chai FungLiang PengFang YangLie Ma
- Motor Vehicle Tort Litigation Continues to Outpace Claims FrequencyWilliam Nibbelin
Fung, Tsz Chai, Liang Peng, Fang Yang, and Lie Ma. 2026. “Quantifying Social Inflation in Liability Insurance with Advanced Statistical Methods.” CAS Forum 2026 (July).