Description: Empirical evidence of reported losses suggests that insurance firms are interconnected in a nontrivial way, making them prone to systemic risk. Systemic risk can be viewed as the result of a cascading process, as it unravels throughout a network structure. In response, this work presents a simple analytical model that can simulate this process. The model is subsequently tested upon an empirical dataset via the means of numerical simulations. This work makes three main contributions. First, it provides a novel methodology for quantitatively and objectively assessing the systemic role of individual firms within the insurance domain. Second, it exemplifies the inability of traditional, firm-based information in serving as proxies for mapping these systemic effects. Third, it provides a practical example where network-based information (e.g., Criticality IDX, Sensitivity IDX) can outperform firm-based information (e.g., admissible assets, excess c apital) resulting in increased efficiency in the decision-making process. These findings strengthen the need to account for the interconnected nature of the domain while showcasing some of the potential benefits that can be harvested by doing so.

Description: Empirical evidence of reported losses suggests that insurance firms are interconnected in a nontrivial way, making them prone to systemic risk. Systemic risk can be viewed as the result of a cascading process, as it unravels throughout a network structure. In response, this work presents a simple analytical model that can simulate this process. The model is subsequently tested upon an empirical dataset via the means of numerical simulations. This work makes three main contributions. First, it provides a novel methodology for quantitatively and objectively assessing the systemic role of individual firms within the insurance domain. Second, it exemplifies the inability of traditional, firm-based information in serving as proxies for mapping these systemic effects. Third, it provides a practical example where network-based information (e.g., Criticality IDX, Sensitivity IDX) can outperform firm-based information (e.g., admissible assets, excess c apital) resulting in increased efficiency in the decision-making process. These findings strengthen the need to account for the interconnected nature of the domain while showcasing some of the potential benefits that can be harvested by doing so.

Description: This paper establishes a framework to analyze the volatility of corporate profits as a result of variability in accounting for pension plans. It models a Canadian corporation that maintains a defined-benefit pension plan and that has adequate cash flow to fully fund the pension plan, should it wish. Volatility of corporate profits is important because many senior executives have some component of their compensation directly related to corporate profitability and consequently do not want any surprises with respect to actual profits compared to expected profits. The volatility management techniques considered are investment policies for the pension plan, funding the pension plan, and an alternative plan design. The analysis is timely since changes are proposed to the accounting standards to eliminate most smoothing techniques. The results suggest that, depending on the investment environment, reduced volatility may be accompanied by by enhanced return, which is a result that few would expect.

Description: We suggest a new method of latent variable analysis and apply it for describing mortality changes in developed countries over the period of 1900--2014.

Description: This paper provides a description of a system using statistical spatial methods for measuring, analysis, and managing ERM losses. An example of its application to a delinquency rate in a residential mortgage portfolio analysis demonstrates how this methodology can help decrease a company’s exposure in high-risk areas and increase exposure in low-risk areas.

Description: Does disease management DM positively influence health care costs? According to three prestigious sources, the answer is no. From Financing Chronic Care Monograph, M-HB05-1.

Description: Given a financial transaction we are often interested in the number of internal rates of return [yield rates] and their location. From an actuarial point of view, the fundamental question is to identify those transactions with a single yield rate, or a single rate in some interval such as the positive reals. In this paper we are concerned with this counting problem. We survey various results concerning this problem, and provide a unifying approach together with some new insights.

Description: Essay states a competing American ideals for the U.S. Health care system include free markets which foster competition, cost effectiveness and quality health care vs.public and private assistance which provides health care independent of a person’s financial means.

Description: Most health care delivered in the United States is based on the acute care model: it is episodic has a beginning, middle and end usually the patient recovers and interventions are designed to target a specific pathophysiologic abnormality. Chronic disease care, in contrast, often has no clear beginning and no end the focus is on managing over the long term with prevention of progression and complications. Further, many chronic diseases “travel together” comorbidities: for example, diabetes, hypertension, coronary artery disease CAD, heart failure, cerebrovascular disease, peripheral arterial disease and renal dysfunction are often found together.

Description: Generally, the assets acquired by financial institutions have their values determined by established capital markets. However, the firm's liabilities become customer's' private placement assets and their value must be calculated by the firm. This monograph discusses the theoretical bases for modeling the liabilities consistently with the assets. From Asset-Liability Integration, M-FI02-1.