Description: This report describes a simple way to construct a bivariate copula with specified marginals and partially specified dependence. For example, the method allows one to model tail behavior scenarios while holding the core of the joint distribution fixed. An Excel workbook named CopulaExample.xls is provided to illustrate the method, including its use in Monte Carlo simulation.

Description: How to make the third pillar of the pension system develop faster is a hot topic in the field of social security research in recent years. Its development is facing three dilemmas: cognitive dilemma, economic transformation dilemma and incentive dilemma. According to the order from easy to difficult, four suggestions are put forward: to build the third pillar system by introducing personal accounts; to separate individual accounts from urban and rural residence insurance and put them in the third pillar; to integrate housing funds into the third pillar; to turn short-term bank savings into long-term pension reserve by improving social welfare.

Description: The Mortality Improvement Model, MIM-2021- V3. Different mortality projection methodologies are utilized by actuaries across applications and practice areas. As a result, the MIM Advisory Group (“Advisory Group”) developed a single framework to serve as a consistent base for practitioners in projecting mortality improvement.

Description: Seeking researchers to analyze long-term risk trends via survey data and develop engaging report formats for broad audiences.

Description: In the context of reinsurance, this paper addresses finding the quota share retention level and the retention limit, with a diffusion process being added to the claim process, that maximizes the adjustment coefficient in the Sparre Anderson model. From Actuarial Research Clearing House, 2006.

Description: This report describes and demonstrates a method to understand reputational risk that an insurance company can apply to the unique circumstances of the insurance firm. This method applies a policy-capturing survey with scenario analysis to generate insight into reputational risk from the perspective of a variety of stakeholders. Also included is instruction for spreadsheet-based query and reporting to facilitate the use of the information in the risk management function.

Description: This report documents the work of the UCT with respect to development of an algorithm used to score preferred risk class structures, producing Relative Risk Scores and Prevalences. It is built for both knockout and debit-credit scoring methodologies.