Description: The article provides an overview of the federal tax treatment of long-term care insurance contracts, including a brief history of the tax treatment of long-term care insurance, the requirements that must be satisfied in order to be treated as qualified long-term care insurance under the Internal Revenue Code, and a brief discussion of qualified long-term care combination products and chronic and terminal illness accelerated death benefits offered under life insurance contracts.

Description: This article provides an update, as of October 2023, on Financial Reporting Section research projects in process and those recently completed.

Description: This is the second of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.

Description: As a follow-up to a previous five-part series on accounting for ceded reinsurance under LDTI, this article focuses on one issue that has, until now, been left without a general solution—how to measure the reinsured portion of a direct loss from capping a net premium ratio or flooring a liability. After acknowledging limited guidance on the issue, the article describes the various events that can lead to a loss, how reinsurance protects against loss, and how that is translated into formulas for measuring the reinsured portion of a loss.

Description: This is the first of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.

Description: Description * Coinsurance has not been widely offered as a benefit reduction option to offset long-term care premium rate increases. This article uses an illustrative example to evaluate the potential impact coinsurance could have on an insurance carrier's future claim liabilities and a policyholder's premium rates. It also explores various considerations insurance carriers, regulators, and policyholders should think about when evaluating whether coinsurance is the right option.

Description: In 2021, Deloitte and the SOA conducted a research study on emerging technologies in which the current use and future outlook of these technologies for the actuarial profession were evaluated.

Description: This article summarizes key points from the recently published research paper “Deep Learning for Liability-Driven Investment,” which applies reinforcement learning and deep learning techniques to liability-driven investment (LDI).

Description: The article discusses the continued popularity of indexed UL insurance and possible reasons why a company's actual indexed UL earnings may be below their original pricing expectations for the product. The article discusses several key items that may be the source of that underperformance (e.g., hedge ineffectiveness, policyholder behavior) and the need to monitor earnings and perform analyses to better understand those potential sources.

Description: In this article, a numerical comparison of two commonly used FIA valuation methodologies is conducted to help insurers decide on the best methodology to use under GAAP LDTI and VM-22. We compared two modeling approaches to project the future index credits with the annual point-to-point crediting formula: Tthe stochastic equity crediting model and the deterministic option budget crediting model. The analysis is then extended to different levels of option budgets and the monthly average crediting formula. The advantages and disadvantages of the two equity return projecting approaches are also highlighted and will be discussed later in the report.