Description: This paper provides actuaries with background and scientific knowledge to understand global climate change and climate model projections for the 21st century.

Description: Using data from the Mexican Social Security Institute for labor risks, this paper classifies the severity of sequels in three categories: mild, moderate and high, and attempts to relate this level with the characteristics of the worker and his activities at work. Toward this goal, a model was built using a multilogistic regression, which allowed predicting the severity of physical sequels caused by a labor risk. From Actuarial Research Clearing House, 2006.

Description: Exhibits for Predictive Analytics Framework

Description: U.K. life insurers writing participating business are required by the Financial Services Authority to value their assets and liabilities on a market-consistent basis. The purpose of this paper is to: • Explain the valuation approach based on market-consistent values and its rationale. • Set out the issues faced by life insurers in implementing the regime. • Explain how insurers addressed these issues. • Explain the importance of the modeling techniques they used.

Description: This report designs a comprehensive life-cycle fund model, including a detailed sensitivity analysis, to optimize portfolio allocation for U.S. retirement plans.

Description: The research provides a modeling framework for assessing the inundation risk of properties and their expected flood damages, thereby laying a foundation for flood insurance pricing. The researchers studied over 50 years of claims data from the National Flood Insurance Program with 2.5 million records and identify property characteristics that predict flood damages for inundated properties. The development of a private flood insurance market benefits from insurers’ ability to better understand and price flood risk. This research takes a closer look at flood risk modeling and flood insurance pricing.

Description: This document discusses the comparison of lifetables generated using classic demographic techniques and the Human Mortality Database method protocol for socioeconomic deciles from 1982 to 2022. It explains differences in estimation methods, calculation steps for lifetables, advantages and disadvantages of each approach, and a comparison of lifetable values.

Description: This tool created graphs of Google's mobility Data. This version of the tool contains global, country-level data through July 31, 2020

Description: This study explores the use of geospatial imagery and high-resolution image technology in the property and casualty (P&C) insurance industry, focusing on improving risk determination through accurate building location data. It introduces new methods like structure footprints and high-resolution elevation information to enhance underwriting, rating, and claims settlement. The study includes two case studies: one on flood risk in Hillsborough County, Florida, and another on wildfire risk in three California communities, demonstrating the significant impact of precise location and elevation data on risk assessment and insurance premiums.

Description: This report covers the latest emerging trends in U.S. population mortality. The SOA relied upon data furnished by the Centers for Disease Control and Prevention (CDC). Observations are based on the CDC’s recent release of 2021 mortality experience, along with prior mortality experience data from 1999 through 2020.