Description: Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and result interpretation are morphing even though use of E.C. models has now been around for years.

Description: Commentary on practical observations resulting from constructing and running Economic Capital models. Possible standardization of assumptions and result interpretation are morphing even though use of E.C. models has now been around for years.

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: The thrust of this article is that while ERM starts out as a compliance and corporate governance tool, well managed companies use ERM as a strategic tool that will help them increase shareholder value. To do so requires a synthesis of the actuarial techniques of insurance and the capital markets perspectives of corporate finance.

Description: The importance of exposure modelling from a climate analysis perspective.

Description: Risk management techniques do not include system science. System science requires that the uncertainty of the world is incorporated into the results. The articles explains the difference between risk and uncertainty. Learn how risk practices create an overoptimistic view of future outcomes.

Description: This article introduces a non-traditional type of economic scenario generator that relies on dynamic stochastic general equilibrium (DSGE) models are complex macroeconomics models and have been increasingly popular in central banks for analyzing monetary policies.

Description: The CAS is pleased to present its Research Paper, “Users’ Guide to Economic Scenario Generation in Property-Casualty Insurance”. Although there are cases in the literature about the use of economic scenario generators (ESGs) in the property casualty industry, they are far more commonly used for life insurance companies. Our hope is that this paper will serve as a comprehensive guide to the implementation of ESGs in the non-life space and spark interest in research into new applications of ESGs.

Description: This article provides guidelines for practitioners of risk management. These guidelines fall under four general headings: 1. Understanding and fulfilling your role in the organization. 2. General risk management. 3. The use of derivatives. 4. Risk measurement systems.