Description: This Letter to the Editor is a response by the author of the article 'Predictive Modeling with Consumer Data' to two previously published Letters to the Editor. From The Actuary, February 2012, Volume 9, Issue 1.

Description: The class involves a combination of presentations, class participation, in-class exercises and structured hands-on work with the MA BPT in small workgroups. Prior to this course, participants are expected to spend 3 to 10 hours preparing, depending on prior experience level.

Description: Mortgage insurance is used to guarantee the mortgage investor [mortgagee] against financial loss due to the inability of the home buyer [mortgagor] to repay the loan in accordance with the terms of the mortgage. This paper describes a procedure used to construct predicted survivorship tables for single-family home mortgage insurance contracts written under four sections of the National Housing Act.

Description: Presented at the Living to 100 Symposium, January 2011. Long-term care LTC insurance is frequently not covered by national social insurance programs. When costs are expressed as a percentage of gross domestic product, the future burden of financing LTC would not lead to unbearable tax levels and is not particularly large in comparison to the projected costs for pensions and health care. After identifying the breadth of definitions of LTC needs, it is argued that LTC is an insurable risk. The paper concludes that LTC social insurance is affordable in developed countries.

Description: Variable annuity (VA) writers are facing many challenges in today's economic environment. Equity market volatility and low interest rates make guaranteed benefits increasingly expensive to hedge. Both GAAP Long Duration Targeted Improvements and the recent VM-21 changes will drive the need to manage the VA business under a new set of lenses. During this session, the presenters will explore the various in-force management tools VA writers have available and comment on their effectiveness.

Description: This 1979 session focused on the future of individual deferred annuities. Topics included: 1. Regulatory and Tax Problems a. S.E.C. exemptive provisions b. Tax questions c. Standard Nonforfeiture Law for Individual Deferred Annuities 2. Prospects for Profitability a. Disintermediation b. Improving the prospects for profits 3. Portfolio Method of Crediting Interest vs. Investment Year Method 4. Marketing 5. Product Design a. Different product features b. Lapse experience c. Recent innovations

Description: The presenters will share information about: -Insights into causes of death through the use of predictive models, based on a reinsured U.S. life portfolio, using logistic regression models to understand three main causes of death: cancer, heart and external causes; -Opioid abuse is a widespread phenomenon with drug-related mortality rates rising steeply in the U.S. over the past two decades. But what does the most recent data tell U.S. about the outlook for Opioid-related mortality?; -'Deaths of despair' have been publicized as a cause for the poor performance of U.S. mortality in recent years. The presenters will be looking at the different causes under this label, their evolution and explore the drivers behind them.

Description: The momentum in value-based care has produced an opportunity for actuaries to become pioneers in health care

Description: Analyzing large quantities of raw complex data is often a challenge in the health care industry. During this webcast, there will be a demonstration of how unsupervised machine learning techniques can be applied to such data to help bring useful insights. This will include examples that use unsupervised learning techniques spanning dimensionality reduction, clustering and anomaly detection.

Description: The class involves a combination of presentations, class participation, in-class exercises and structured hands-on work with the MA BPT in small workgroups. Prior to this course, participants are expected to spend 3 to 10 hours preparing, depending on prior experience level.