Description: This paper investigates the implications of using the Basel II motivated Advanced Measurement Approaches as a method to assess operational risk capital charges for banks and insurance companies with regard to U.S. regulations. The AMA developed in the paper uses actuarial loss models complemented by the extreme value theory to determine the empirical probability distribution function of the aggregated capital charges in the context of various classes of copulas. From Actuarial Research Clearing House, 2006.

Description: Panelists at this session of the SOA 2003 Washington, DC Spring Meeting discuss how changes in interest rates affect the assets and liabilities of a life insurance company and what a company can do to prepare. This session examines historical trends in interest rates and how companies have reacted to both sudden and gradual changes.

Description: Why Write Variable Products When You Can Put the Money Directly into the Stock Market?

Description: This article aimed to make Liability Driven Investing LDI more accessible by providing a simple definition and by showing how plans of different sizes and circumstances may adopt an appropriate LDI approach.

Description: 1992 SOA Annual Meeting, Washington, D.C. This open forum for small-company issues addressed cash flow testing, RBC, variable annuities, capital needs, distribution capacity, and tracking legislation.

Description: This session at the 1998 Valuation Actuary Symposium looks at mergers and acquisitions in the insurance business. Recent examples and actuarial considerations in M&A transactions are discussed.

Description: This session at the SOA 1990 Annual Meeting looks at global investing. Areas discussed include rationale for investing globally, fixed income opportunities, a model for active global investing, and other issues.

Description: The Life Meeting, is the result of combining the Life & Annuity Symposium (LAS) and the Valuation Actuarial Symposium (ValAct). The Life Meeting will offer sessions specific to pricing and valuation as well as sessions on emerging issues relevant to both groups. These common themes include InsurTech, diversity, accounting change and the current economic environment.

Description: We're introducing a new “cutting edge” wealth accumulation predictive framework, the predictive equity analytics (PEA) for life products (annuity, insurance, group employer benefits, retirement plan). PEA enables life insurers and policyholders to avoid market downturns and capture returns from equities (stocks, ETFs and mutual funds) predicted to increase in next one to three trade days via fund prediction advisory by insurers, additionally by individual policyholders. The capability does not exist in insurance markets nor in financial intermediary markets.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.