Description: One of the most fundamental concepts in actuarial practice is the time value of money. For any work in which future cash flows are allowed for, such as reserving or pricing, it is natural to discount to present values so that an appropriate amount of money can be set aside today, allowing for future investment returns. This article discusses yield curve extrapolation methods along with the benefits and drawbacks of these methods.

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: One of the most fundamental concepts in actuarial practice is the time value of money. For any work in which future cash flows are allowed for, such as reserving or pricing, it is natural to discount to present values so that an appropriate amount of money can be set aside today, allowing for future investment returns. This article discusses yield curve extrapolation methods along with the benefits and drawbacks of these methods.

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: How insurers can include a liquidity score and liquidity stress scenarios as part of their asset liability management (ALM) protocol.

Description: Duration matching is a risk management strategy, commonly used in the insurance industry, where the duration (price sensitivity to a yield curve movement) of an asset portfolio is adjusted to be made equal to the duration of the liability. However, this approach has flaws. In this essay, I note some key failures of duration matching and offer a potential alternative.

Description: The article is authored by the chair of the Joint Risk Management Section and provides an update of recent changes relevant to members of the council, as well as interested non-members.

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.

Description: The cyber insurance market looks like it’s growing—rapidly, in fact. However, there’s more to the cyber insurance market than the outward appearance of strong growth. Worldwide aggregate premium’s upward trend may even be cause for alarm. The increase in premium against a flat rate of insured exposure is a key sign that the market could turn from growth to constriction if a solution isn’t found in the near future. If the cyber insurance sector hopes to reach such lofty goals as exceeding $30 billion in global premium by 2028, it’s going to need more capital. Whether directly into the insurance sector or via support from reinsurance and retrocession, fresh capital should help insurers achieve greater market penetration, build a broader foundation for ongoing expansion, and chart a course for long-term sustainable profitable growth. The same sources capital insurers have used since the early days of the market won’t be enough, though. Thankfully, the insurance linked securities (ILS) market seems poised to help, particularly with several promising recent transactions. New sources of capital could bolster the foundation for future cyber re/insurance growth.