Description: InsurTech is commonly described as the providing insurance protection and services through new technology innovations, often with a goal of producing savings and efficiency from the traditional insurance industry model. InsurTech is a seen as a growing place where the actuarial profession provides expertise and services.

Description: This article discusses the Section 338h10 election on the disposition of an insurance company.

Description: This article discusses a new procedure for correcting inadvertent failures to satisfy the diversification requirements applicable to variable annuity and life insurance contracts under section 817h of the Internal Revenue Code.

Description: Presented at Living to 100 and Beyond symposium 2002. Discussion on 'Living to Age 100 in Canada in 2000' by Doray and 'Oldest-Old Mortality Rates and the Gompertz Law: A Theoretical and Empirical Study Based on Four Countries' by Yue papers.

Description: This article provides a review of the topics discussed at Refocus 2008.

Description: This report explores AI bias in insurance and health data, highlighting the ethical role of actuaries and offering cross-disciplinary guidance for fairer decision-making systems.

Description: ACA risk adjustment has now been in play for years. The original intent of risk adjustment was to help stabilize the market through measuring risk levels of each issuer. However, the risk adjustment program may have introduced additional uncertainty due to annual market shifts and model changes, making risk adjustment estimation is a difficult task. This article analyzes the results over time, including impacts from market changes and model changes.

Description: Chairperson's corner for January 2020 In the Public Interest.

Description: Regulatory change and increased focus on internal risk management are driving a renewed interest in model efficiency. In this session, we will review several new and existing tools, that show significant promise for advanced modeling of equity linked products. These include: • Clustering • Use of unique--and potentially a different number of--scenarios for each policy • Semi Monte Carlo (SMC) – this is a proprietary technique that is similar to a combination of Monte Carlo and numeric integration • Using a neural network approach to optimize some of the more complex and manual aspects of clustering and improve the fit of the clustered model • Combining SMC with the use of unique scenarios per policy

Description: Retirees will face the societal issue of inadequate savings with likely insufficient time to rectify the situation. They need immediate growth, but also the disciplines of risk management. They typically do not know how to engage with these two aspects in a harmonious manner on their own. Insurance companies are in the business of providing the solution but regulators have been clamping down in favor of simpler and more transparent products. In addition, the market reality over the last decade has been that insurers have stock betas at a multiple to the general markets with PE ratios well below. A panel of senior professionals from writers of retirement product business will present their vision of how the insurance industry can address the above dilemma, including the risks underlying the writing of the business, impact of financial markets, and regulations in the development of the business.