Description: Capital allocation by percentile layer has important advantages over existing methods. It highlights a new formulation of value at risk and other capital standards, recognizes the capital usage of losses that do no extend into the tail and captures the disproportionate capital usage of severe losses. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: This paper outlines a risk measurement framework in which risk measures are derived by qualifying cash-flow-based risk measures on the state of the firm's debt capacity. This risk framework overcomes some of the weaknesses of the popular 'at-risk' framework. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: The intent of this paper is the analysis of the influence of risk that took place during winter and summer 2006 on economic results of utilities selling power to final customers. Efficient risk management requires the restructuring of the approach to company management. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: The author will show that risk management is more than combining several processes and methods it is much more a company wide approach that enables an open dealing with chances and risks, requiring a change in culture, governance and decision rules across the whole organizations.

Description: Delinquency rates are closely related to the economic conditions and can be analyzed using measures of economic growth and stability. In an attempt to predict the delinquency rate for the health care equipment financial industry, we investigated the relationship between delinquency rate and key macroeconomic variables for the period from 1998 to 2008. The study reveals that the tightening credit standards and unemployment rate are the key macroeconomic indicators influencing the delinquency rate. The analysis further helps in arriving at a trigger to monitor the delinquency rate based on the macroeconomic indicators, thus enabling proactive portfolio management. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

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: People naturally observe risk in the form of the range of experienced gains and losses which is usually represented in statistical terms by standard deviation. In most cases, there are not enough observed values to reliably discern the true amount of losses that are possible in extreme situations. Statistical techniques that have long been applied to insurance company risks are being used to extrapolate from observed risk to extreme tails of the distribution of gains and losses. These processes are essentially an extrapolation from the “known” risk of volatility near the mean to “unknown” risk of extreme losses. “Fat tails” is a term often applied to risks where the likely losses in rare situations significantly exceeds the predictions of a Gaussian (“thin tailed”) distribution. This paper will look at the relationship between the observed risk and the extreme risk in statistical insurance r isk models and discuss how we might create a discussion among model users about the appropriateness of that relationship for specific types of risks.

Description: In this paper, we derive three important longevity Greeks on the basis of an extended version of the Lee-Carter model that incorporates stochastic volatility.

Description: A frustrating aspect of pension funding rules for U.S. plan sponsors is that contribution requirements are adversely correlated with business cycles. For example, not only did plan sponsors get hit with large contribution requirements in the perfect storm of the early 2000s, but many sponsors were prohibited from contributing in the late 1990s boom due to full funding limitations. This is the abstract of a paper that proposes that plan sponsors be allowed to contribute the normal cost as a deductible contribution each year. In hindsight, this would have allowed plan sponsors to pay for benefits as they accrued in the late 1990s and ultimately mitigated some of the crash of the early 2000s. The authors aim to demonstrate that a contribution policy allowing contributions to be at least equal to the normal cost will result in less volatility of contributions and improve the funded status over time.