Description: Using the Cox proportional Hazards Model to improve underwriting debits and credits.

Description: Summary of the ReFocus 2018 Conference, jointly sponsored by the American Council of Life Insurers and the SOA.

Description: Because mortality tables are generally tabulated at yearly intervals actuaries frequently must make assumptions about intermediate values in developing formulas for insurance and annuity functions. This paper examines the effect on insurance and annuity formulas of assuming Mx+t to be linear within each interval.

Description: The objectives of this paper are to determine the extent to which Makeham's or Gompertz's laws describe recent insurance and population mortality analyze how the constants in the two laws vary with respect to some factors and propose a simple extension to Makeham's law to account for recent departures from the laws, related to difference in sex. Presented at Actuarial Research Conference at Ball State University, September 1, 1978

Description: This paper is from Transactions of Society of Actuaries 1955 Volume 7, Number 17. The author notes that recent advances in calculating equipment make possible producing graduations much more elaborate than any done previously. The paper confines itself to the problem of graduating a single column of rates, such as an ultimate column, using a Whittaker-Henderson B graduation of the fourth order. The author provides a detailed description of the process with significant mathematical theory.

Description: Summary of the non-routine business transacted at meetings of the Executive Committee of the Society of Actuaries on Dec. 13, 1979 and the Board of Governors on Jan. 24, 1980

Description: A recent Society of Actuaries study calculates safety and stability for current Long Term Care Insurance premiums.

Description: The revised 2013 Study includes three pivot tables: Individually Billed Group Life, Self-Administered Group Life, and AD&D, which will enable companies to perform their own analysis to supplement the findings of this report.

Description: As a life reinsurer, understanding mortality risk is mission critical. Superior models of mortality risk lead to more competitive pricing in profitable market segments and more efficient use of capital. Surprisingly, modern statistical tools such as predictive modeling have not previously been used to model mortality data to gain this edge. In this paper, we present the use of a predictive modeling technique called projection pursuit regression PPR to model mortality data. We first describe the process of creating a PPR model using inter-company mortality data collected by the Individual Life Experience Committee of the Society of Actuaries, and present the resulting model. We then discuss the process of using this model as a starting point for creating a more detailed PPR model of internal company mortality data.

Description: Panelists discuss recent trends in individual life mortality experience, especially for preferred risks, and the impact of agent selection and underwriting exceptions on a company's mortality results. From the 1997 Record of Society of Actuaries, Vol. 23, No. 3.