Description: This abstract describes a paper that presents a comprehensive overview of deductible ratemaking.

Description: This report focuses on analyzing and managing climate change and carbon risk in the equity investment portfolios of insurance company and pension fund assets.

Description: This document is a Request for Proposals (RFP) issued by the SOA Research Institute focusing on advancing catastrophe modeling and sustainability in Asia, particularly in ASEAN markets. It outlines research objectives, proposal requirements, selection process, submission details, and other pertinent information for interested researchers.

Description: This report provides a general introduction, a brief summary and a list of references that include various articles, papers, program proposals and legislative notes that provide additional insight into the following topics related to Business Interruption Insurance and the effects of the coronavirus (COVID-19) pandemic on its current and future state of coverage: • General Information on Business Interruption Insurance • Legal Actions • State and Federal Legislation • Proposed Private/Public Partnerships for Future Pandemics as they Relate to Business Interruption Insurance • Impact of COVID-19 on Businesses, Insurers and Reinsurers: Magnitude of Losses and Future Business Interruption Coverage • Future of Insuring a Pandemic

Description: Read the June 2018 issue of General Insurance Insights published by the General Insurance Section of the SOA.

Description: Organizations representing the actuarial professions in Canada and the United States have updated the Actuaries Climate Index (ACI) with data from the winter of 2018–19, with the 1.00 value for the season contributing to an upward trend in the average ACI value for winter.

Description: A listing of professional development opportunities in the recent past that have relevance to general insurance actuaries.

Description: En el seminario hablaremos sobre los nuevos flujos de tarificación, y nos enfocaremos en la inclusión del análisis geográfico en el proceso de modelado para optimizar la extracción del riesgo en modelos de Machine Learning.