Description: Hear from the editor’s on the August 2018 issue of Risk Management published by the JRMS.

Description: We analyze how volatility management techniques in VAs affected policyholders and insurance companies

Description: Hear from the editor’s on the December 2018 issue of Risk Management published by the JRMS.

Description: While COSO describes guiding principles for a comprehensive and robust ERM framework, it is anything but prescriptive. This article describes one path toward the realization of a framework consistent with COSO and highlights several challenges and solutions.

Description: A critical step in valuing a company for the purpose of financial reporting is the computation of the market value of economic surplus (MVES). This article provides a novel approach to the valuation of MVES that is stable and reasonably immune to “market noise.” Current approaches to the calculation of economic surplus of an insurance company generally define such surplus as the market value of the assets (MVA) supporting the liabilities less the market value of liabilities (MVL). While MVA is observable in the market, MVL is typically computed directly, without regard to the underlying supporting assets. Subtracting MVL from any value of assets that changes with market movements results in an unstable surplus. Consequently, a surplus that is not fully reflective of market sentiment has been rejected by many. This same approach is further used in the calculation of market consistent embedded value (MCEV) when a balance sheet approach is used .

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 article provides an update on the 2019 ERM Symposium with regard to date, location and content (General Sessions and Concurrent Sessions).

Description: The Observatoire actuariel de la crise du coronavirus (Actuarial Observatory of the Coronavirus Crisis) is a unique initiative of the Institut des actuaires (Institute of Actuaries) consisting of the establishment of a process of qualitative sociological surveying during the confinement and the two weeks following it. Implemented by a PhD sociologist, the Actuarial Observatory of the Coronavirus Crisis aimed to collect, in real time, the perceptions and analyses of actuaries, women and men of all generations and from all professional backgrounds, of this unprecedented crisis. Its first report reproduces the observations made with respect to operational matters: • How did the companies continue to operate? • What are the consequences for the sectors? • How will they manage the induced risks? • What are the expectations for the future?

Description: The US life insurance industry is just beginning to talk about risk management best practices. This article discusses the practices that have evolved in other industries by those before.

Description: This article is an overview of the presentations made at the Advanced Risk Management Seminar. Some topics were 1 the importance of enterprise risk management 2 how policyholder behavior affects the risks of GMBD riders and 3 credit risk.