Description: This session discussion is about tools, techniques, and methods used by the health valuation actuary HVA in dealing with business projections, cash-flow analysis, valuation on nonguaranteed premium business, target surplus analysis, reinsurance and claim reserves. From Record of Society of Actuaries Vol. 18, No. 1A.

Description: Economic capital is an embedded part of the banking risk management and regulatory framework. The insurance industry has relied on rating agency and regulatory formulas that have been criticized as overcapitalizing and not appropriately differentiating risk drivers in the capital formulation. The emergence of C-3 Phase I and C-3 Phase II have introduced an economic approach to capital in the insurance industry. This half-day seminar takes a detailed look at the subject of economic capital. From the Record of the Society of Actuaries 2005, Volume 31, No. 1: 2005 New Orleans Life Spring Meeting, May 22-24, 2005, Session 9 Seminar.

Description: The valuation of illiquid assets is a vast topic, which is very much in a state of development. Based on comments made by investment professionals during the preparation of the proposal, this is a very challenging area of research. Generally, the investment industry will look with great interest on the outcome of this research. The research proposal was restricted in two ways. The literature review was focussed on the valuation of private placement debt PPD and real estate. The case study was limited to analyzing valuation methods with respect to PPD. Sponsored by CAS, CIA, SOA Joint Risk Management Section.

Description: This paper summarizes default experience on bonds from 1900 through 1987. Although the information is more extensive for publicly traded bonds, the paper includes some information on private placements, some of which is not otherwise available.

Description: Article AERF in The Actuary, May 1979, Volume 13, Number 5

Description: This paper shows how the results of copula based capital aggregation models can always be locally approximated by relatively simple formulas. The paper defines the concepts of diversification factor and tail correlation matrix and describes methods for estimating these quantities from simulated data. We show how these ideas can be put into practice as both computational shortcuts and presentation tools.