The Reinsurance Section, Product Development Section and the Committee on Life Insurance Research announce the release of a new report that investigates life and annuity living benefit riders and their implications from both a direct writer and a reinsurer perspective
Big data is an often talked about topic, which is also referred to as predictive analytics. Actuaries have a unique skillset to understand and harness the complexities of data and the insights that can be gained from predictive models.
The life insurance protection gap remains an issue in the United States. Swiss Re research estimates the gap between the life coverage families should have for income protection, versus what they actually have, at $20 trillion in aggregate in 2010. This is up from $18 trillion in 2001 after adjusting for inflation. The average family has a gap of $378,000, up from $347,000.
It used to be impossible to price insurance based on your particular lifestyle, health or habits — but technology has given us the solution, at least for car insurance. How long before health and life insurance follow? The day is coming when the guesswork involved in evaluating factors regarding a consumer’s specific health risk is virtually eliminated.
David Wang is a life actuary with Milliman. He works extensively in the variable annuity area and has explored the application of predictive
modeling to life and annuity insurance. Peggy Brinkmann is a Property & Casualty (“P&C”) actuary with Milliman and has 20 years of experience in predictive modeling. David talked to Peggy recently about how predictive modeling is used in P&C insurance pricing to see what life actuaries can learn from our peers.
A popular topic at industry meetings is how companies can best manage the post-level term (PLT) for level premium term life. Many of us started this discussion in our own companies a few years ago as the first wave of 10-year level term life policies were about to enter the PLT.