Description: Authored by a MIB Solutions team of Tom Rhodes, Stuart Klugman, Marianne Purushotham and Stacy Gill, the report summarizes the results of a study on the application and adoption of credibility theory within the life insurance and annuity industry. In addition to the report, numerical examples related to the application of credibility to company mortality and lapse data are provided in the four Excel files. This excel spreadsheet is a numerical example relating to the application of Credibility for mortality - Limited Fluctuation Method. Please see the SOA website research section for the full report on Credibity Theory Practices.

Description: In this paper, the authors value three embedded guarantees in cash balance plans using option pricing fair valuation principles. Two of the guarantees are valued using a closed form adaptation of the Black-Scholes formula. The third guarantee is valued via a Monte-Carlo stochastic simulation of the risk- neutral interest rates process using a Hull-White interest rate model.

Description: This report explores estimation of employee stock options exercise behavior and option cost to firms.

Description: This paper was the results of an invitation by the SOA’s Pension Section Research Team to explore the current state of defined benefit plans in Canada and future visions of them.

Description: This is a report that summarizes a Survey of Life Insurance Utilization of Automated Underwriting Systems. It was sponsored by the Committee on Life Insurance Research, Marketing and Distribution and Product Development Sections of the Society of Actuaries and the research was conducted by Deloitte. The report covers many aspects of how much industry interest there is for automated underwriting systems, the goals life insurers seek to accomplish in using them, how the automated systems function, and how successfully they perform.

Description: This paper examines the following three questions by reviewing literature that identifies and evaluates the tradeoffs among annuitization and self-managed drawdown strategies: 1. How DO Retirees Draw Down their Financial Savings? 2. How COULD Retirees Draw Down their Financial Savings? 3. How SHOULD Retirees Draw Down their Financial Savings?

Description: The Required Minimum Distribution [RMD] Working Group of the SOA Taxation Section has completed research identifying considerations for actuaries and annuity insurers in determing the actuarial present value of additional benefits for computing the RMD under a deferred annuity contract. This is the Appendix I spreadsheet for determining the Actuarial Present Value of an annuitization bonus. Please see the SOA website research for the full report and other associated spreadsheets.

Description: This research project examines operational risk management practices and assess the viability of ORM as a formal discipline. A key goal of this initiative has been to determine whether the management of operational risk is feasible, and, if so, what issues need to be addressed in order to effectively implement ORM within a broader ERM context.

Description: At the outset, this paper discusses the current rules governing benefit distributions from defined contribution plans in the United States and other countries. Next, this paper explains the various types of financial products that can be used to provide defined contribution plan participants with lifetime retirement income. Finally, this paper considers how distribution rules and regulations can be used to encourage retirees to take their defined contribution plan distributions in the form of annuities or other lifetime income products.

Description: This report explains the concept and construction of the Market Consistent Embedded Value (MCEV) measure, as well as its usefulness as a profit/risk measure relative to other profit/risk measures currently used by insurance companies for various products. The knowledge from this research will assist actuaries, corporate leadaers, risk management professionals and others in understanding, implementing and comparing MCEV to current risk assessment tools utilized by insurance companies.