Description: Wavelet models are used to analyze risk by time and frequency and provide richer information than time series models.

Description: This article provides a very high level overview of accelerated underwriting programs and their history in the US marketplace. It then discusses setting up an actuarial control cycle for such products and some items related to risk management that are helpful in this setting. Pros and cons of retrospective studies, random holdouts, targeted holdouts and post issue analysis are discussed. A mathematical example of how to estimate the mortality impact of such programs from early emerging experience is provided.

Description: This research report that provides a literature survey of methodologies applying machine learning to insurance claim modeling.

Description: Review of stochastic, modeled geo-spatial risk metrics for insurance loss concentration and clustering and their counter point use for diversification

Description: Summary of recent surveys to life actuaries regarding assumptions surrounding policyholder behavior in the tail for universal life with secondary guarantees and minimum guarantees on variable annuities. This information is intended to examine and ultimately give guidance to actuaries on how to set policyholder assumptions in extreme scenarios.

Description: This research report models the impact on the U.S. insurance market resulting from a post-Brexit economy in the UK.

Description: Wavelet models are used to analyze risk by time and frequency and provide richer information than time series models.

Description: This paper discusses various types of risks within an Enterprise Risk Management framework, responses to risk, and the implementation of an ERM framework.

Description: This paper discusses various types of risks within an Enterprise Risk Management framework, responses to risk, and the implementation of an ERM framework.