Description: When an insurer classifies risks for the purpose of setting rates, one of the goals is to achieve equity. In general, however, inequities can be introduced when only certain factors are considered and others ignored. This paper, guided by ideas used by economists to measure income inequality, proposes a method of measuring this inequity. From Transactions of Society of Actuaries 1987, Vol. 39.

Description: Final installment of a series on the evolution of risk management with a close look at high profile failed corporations.

Description: This paper presents a value-at-risk platform for integration of assets and liabilities in a rigorous risk management framework. The model measures all major risks faced by a P&C company. The paper demonstrates how this new technology can be used to assist in maximizing capital efficiency and migrating from a risk management environment governed almost exclusively by ad-hoc rules of thumb to one governed by true risk management principles. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: The author makes 10 predictions of how risk management will change over the next decade.

Description: This presentation offers an overview of enterprise risk management with topics covering benefits of risk management for an insurance company, establishing an ERM framework, risk reporting, and predictions about the future of ERM.

Description: Economic risk analysis has two dimensions: time and frequency. Asset return varies by time because of economic cycles and economic structural changes. Risk is higher during economic recessions and smaller during economic expansions. In addition, different economic structures may exist at different time scales. Risk measures calculated based on daily, weekly, monthly and yearly historical data can be very different. The appropriate frequency depends on the time horizon of the analysis. Therefore, it is important to measure economic risk at both the time level and the frequency level. However, time series analysis and statistical analysis that have been widely adopted in economic risk analysis focus on only one of the two dimensions. In this paper, wavelet models are used to enhance both time‐invariant analysis and time‐variant analysis. Wavelet models can systematically analyze risk by time and frequency and provide richer information than time series models. Using wavelet models, risk measurement can easily be adjusted based on time horizon in a consistent way. Equity VaR estimation is selected to demonstrate the application of wavelet analysis in risk management.

Description: This report examines the use of a copula approach to build a predictive model to estimate the amount of economic capital a life insurance company needs to protect itself against an adverse movement in interest rates, mortality, and other risk drivers.

Description: Economic risk analysis has two dimensions: time and frequency. Asset return varies by time because of economic cycles and economic structural changes. Risk is higher during economic recessions and smaller during economic expansions. In addition, different economic structures may exist at different time scales. Risk measures calculated based on daily, weekly, monthly and yearly historical data can be very different. The appropriate frequency depends on the time horizon of the analysis. Therefore, it is important to measure economic risk at both the time level and the frequency level. However, time series analysis and statistical analysis that have been widely adopted in economic risk analysis focus on only one of the two dimensions. In this paper, wavelet models are used to enhance both time‐invariant analysis and time‐variant analysis. Wavelet models can systematically analyze risk by time and frequency and provide richer information than time series models. Using wavelet models, risk measurement can easily be adjusted based on time horizon in a consistent way. Equity VaR estimation is selected to demonstrate the application of wavelet analysis in risk management.

Description: The management of The Guardian Life Insurance Company of America Guardian decided during 2006 to perform an economic capital EC analysis, with results to be delivered in the spring of 2007. A second generation EC analysis EC 2.0 was conducted from fall 2007 through spring 2008. This article describes EC 2.0.

Description: Feature article discussing the four main perspectives of ERM.