Description: Full version of Risk Management, March 2005, Issue No. 4.

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: A number of insurance companies have recently implemented, or are in the process of implementing, economic risk capital. These programs are being implemented because of concerns with the existing regulatory and accounting frameworks and/or companies' desire to have a capital framework which is more consistent with their risk profile. From the Record of the Society of Actuaries, Volume 30, No. 2, Spring Meeting, San Antonio, TX, June 14-15, 2004, Session 47PD.

Description: From a session at the Spring meeting of the Society of Actuaries held in San Antonio, Texas, June 14-15, 2004 Speakers discuss the approaches to quantifying investment risk, including the credit risk subcomponent and mismatch risk sub-component in the three different types of risk-based capital RBC framework commonly used, such as regulatory, rating agency and company-specific economic-based formulas.

Description: At this session of the SOA 2003 Washington, DC Spring Meeting, representatives from two rating agencies present their views on the insurance industry, how an insurance company should present itself to the rating agency and what information they are looking for as part of the rating process.

Description: From a session at a meeting of the Society of Actuaries held in San Diego, CA, June 22-23, 2000 A discussion of how stochastic modeling techniques can be used to efficiently and effectively consider a wide variety of scenarios and outcomes and how these tools can be used to optimize portfolio performance?