Description: Read the French language version of the March 2017 issue of Risk Management published by the Joint Risk Management Section. Newsletters provide practical information for the working actuary, articles on trends that impact sections and news about section activities.

Description: Findings from EY Insurance Risk Management Team's 2016 (annual) Insurance Chief Risk Officer Survey.

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

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: The system of using securities exchanges and commodity futures contract exchanges is inadequate to the task. Neither can transfer the risks of derivative financial contracts to the capital markets. Regardless of the degree of regulation or the financial incentives, this system is insufficient. A new type of exchange is needed that copes with fast price changes – even from “long” to “short” – without inviting bankruptcy.

Description: The article provides a high-level, non-technical, introduction to artificial neural networks (ANNs) and deep learning with an application to risk management. The method relies on typical ANN components such as nodes, activation functions, and optimization through gradient descent.

Description: The mismatch between how interest rate impacts the value of assets and liabilities could have material negative impact to companies’ earnings and surplus. To quantify and mitigate the impact of such mismatches, companies have used matching a combination of duration and convexity. I will review these measurement techniques and their limitations.