Description: This article is about a 1997 conference titled, 'Integrated Approaches to Risk Measurement in the Financial Services Industry,' that brought together a diverse group of 84 professionals, including actuaries and others working in risk measurement and management. That conference, sponsored jointly by the SOA’s finance practice area and Investment Section, was important in helping the profession advance the work of risk measurement.

Description: Note from Editor introducing the articles in this issue.

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: Recurring column that lists recent publications in risk management of note to readers.

Description: Regular Corner where the Editor introduces the new issue and summarizes its content.

Description: Recurring column that lists recent publications in risk management of note to readers

Description: This article will further discuss decentralized and centralized model development frameworks and provide tips and rationale for transitioning toward centralized model development.

Description: This article describes risk modeling and how to build a risk intelligence system.

Description: In this article, the author discusses earthquake modeling.

Description: Listing and description of key articles in August 2011 issue of Risk Management. Topics include Predictive Modeling, Risk management and Solvency II.