Description: This article provides an overview of the GI Course within the SOA’s Climate Risk Certificate Program

Description: Presenters will address optimal new business written premium mix at the firm and state levels under varying competitive conditions. They will explore the use of mean-variance optimization to determine a company's optimal new business written premium mix for a given geographical area, predicting statewide product mixes using varying rate regulation scenarios, involving profit caps and measuring/testing a market's competitiveness for a given line of business. The scope of the ideas to be presented is international, applying to property, liability, individual and group life; individual and group health; disability and accidental insurance. Examples will be presented for general insurance in the United States

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: 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.

Description: The CAS has sponsored research which explores potential exposure bases for rating cyber liability. This short article gives some highlights from that research.