Description: "Discuss research conducted at the Cleveland Clinic to understand levels of anxiety and depression across Northeast Ohio. Specifically, learn how advanced analytical techniques were utilized with social media data from Twitter and Google to estimate the need for psychological support by geography and overtime. The panel will go further to demonstrate how natural language processing (NLP) and machine learning could be used to make operational decisions at a leading health care provider."

Description: This research report educates the actuarial community about the various shades of the flood risk as well as the state of the art in quantitative flood risk modeling.

Description: Discuss various analytics and use cases using payer published reimbursement contract data under federal mandate of Transparency in Coverage. These contract rates are publicly available in machine readable format (MRF) starting July 1, 2022, and refreshed monthly. By attending the session, you will have a better understanding of the state-of-art development and analytics using MRF data, including the technologies used to extract and analyze huge MRF files, validation and limitations of published rates, and their use cases.

Description: This report provides insights into statistical methods for imputing race and ethnicity in the context of insurance industry disparities. It discusses various imputation techniques, performance metrics, and the evolution of methods over time. The aim is to address the lack of consistent data collection on race and ethnicity in insurance datasets.

Description: This is the first of a two-part article introducing and elaborating an “Adaptor” strategy for ERM. Such a strategy is intended to fulfil two purposes: first, switching among four styles of risk-coping strategies in order to track qualitative changes in a business’s risk environment; and, second, to support the business in navigating with resilience through all the seasons of a business-economic cycle, i.e., of boom, bust, moderate, uncertain. This latter requires careful study of the nature of resilience, the familiar idea of bounce back, and the less familiar idea of bounce forward. Part I of our article is underpinned therefore by a supplementary document (available from https://riskviews.wordpress.com/adaptor-exceptionalism/), which addresses the issue of structural change in a business or economy. It draws heavily on ideas taken from the discipline of control engineering, as well as some from ecology, social anthropology, and economics. The entire two-part article is thus an exercise in cross-disciplinary Systems Thinking.

Description: This teaching session was presented as Session 6B at the 1987 Valuation Actuary Symposium. The subject was modeling techniques for use in testing the scenarios being developed by the Canadian Institute of Actuaries, ‘CIA,’ Solvency Standards Committee. The presenters, members of the Committee, have been working on developing a generic modeling approach. Their presentation is limited to the first of three phases of proposed CIA standards for solvency reporting dealing with scenario testing, namely the projection of surplus under various prescribed and selected scenarios.

Description: Presented at September 1995 Valuation Actuary Symposium. This sessions talks about financial projections as a management tool and tough issues which may have to be addresses in making such projections.

Description: 1997 Valuation Actuary Symposium, Session 21 looks at advanced topics in annuity modeling.

Description: 1998 Valuation Actuary Symposium. The panelist discussed techniques for modeling real estate asset-backed securities, measuring option risk, and managing option risk.

Description: Given that actuaries use models for statutory projections, GAAP projections, budgeting, corporate planning, and product pricing, often different models are used for each one of these activities leading to the possibility of assumption and model mismatch for several similar projections. The panelists discuss considerations in determining whether to integrate current models, and to maximize the potential of current models for multiple purposes. They also provide suggestions on how to integrate.