Description: The Survey of Emerging Risks has been successfully conducted in North America for 15 years, which provides a consistent report by tracking the opinions of risk managers on the emerging topics beyond the current business cycle with strategic plans over decades. For the first time the survey is also being specifically introduced in China and Greater Asia, with the aim of surveying the actuarial and risk management professionals' opinions on emerging risks in the local market. In relation to the Society of Actuaries, Greater Asia is defined as markets that participate in our Greater Asia Committee. These are additional areas outside of mainland China that include markets such as Hong Kong, Indonesia, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand and Vietnam. The survey is sponsored by the Society of Actuaries (SOA) Research Institute and comprises both quantitative and qualitative questions in English and Chinese (Simplified). With a wide range of response options and allowing for anonymous comments, the survey results serve as a platform to share the risk views of local actuaries and risk managers in China and Greater Asia.

Description: Sponsored by the Joint Risk Management Section of the Canadian Institute of Actuaries, Casualty Actuarial Society and the Society of Actuaries, this research report summarizes the major findings from the 2018 Emerging Risk Survey.

Description: A research report that first defines ERM and provides the results of an applicable literature search with hyperlinks and then describes the current state of Enterprise Risk Management practices for health organizations. Areas covered: 1. Operational Risks. 2. Balance sheet risks. 3. Pricing discipline. 4. Asset risks. 5. Learnings. 6. Emerging risks.

Description: This research report examines readers to Insurance-linked securities (ILSs) emphasizing catastrophe bonds (CAT) and industry loss warranties (ILWs).

Description: This report focuses on the risks of change in the insurance industry and adapting to the "New" New Normal. It includes survey results, analysis, and discussions on various risks affecting the industry in the current environment.

Description: This paper discusses gain and loss analysis for group insurance under the following headings: Nomenclature and General Principles, Sources of Gain and Loss under Theoretical Conditions, Gains and Losses Arising in Practice, Comparison with Annual Statement Results and Effects of Changes in the Company's Dividend Formula. Discussions of this paper are included.

Description: This article pertains to the optimal asset allocation of surplus from an insurance company model. The insurance company is represented by a compound Poisson risk process which is perturbed by diffusion and has investments. The investments are in both risky and risk-free types of assets similar to stocks/real estate and bonds. The insurance company can borrow at a constant interest rate in the event of a negative surplus. Numerical analysis appears to show that an optimal asset allocation range can be estimated for certain parameters and compared with insurance data. Using a conservative method to minimize the probability of ruin, a reasonable optimal asset allocation range for a typical insurance company is about 4.5 to 8.2 percent invested in risky stock/real estate assets. An inequality and the exact solution are obtained for the pure diffusion equation. In addition, the asymptotic form of the ruin probability is shown to be a power function.

Description: The CIA, SOA and Joint Risk Management Section of the CAS, CIA, and the SOA sponsored a whitepaper on the application of ERM at a federal government level.

Description: Sponsored by the Society of Actuaries Research Expanding Boundaries Pool, this report examines an encompassing method to allocating economic capital in insurance conglomerates. Authored by Edward Furman, Yisub Kye, and Jianxi Su, the plan put forth unifies the centralized top-down and the detail-oriented bottom-up approaches

Description: This paper presents an algorithm for approximating the probability of ruin for a Poisson process - which is often used to model an aggregate claims process.