Description: As an alternative to the widely-used 'return on economic capital' RAROC, this paper proposes a performance measure consistent with standard valuation models, and discusses its implications for prudential regulation. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: The purpose of this paper is to address key aspects of the risk/strategy/finance ERM implementation from both the theoretical and applied perspectives. The topics to be covered are: ERM overview including historical perspective, ERM implementation—focusing on strategy, finance and risk, and Case study of how one insurance and investment company approached the integration of a major risk type within the ERM framework, market risk, into the financial planning and reporting process. This paper will focus exclusively on the insurance industry.

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 introduce an approach to manage the organizations risks which is based on project management methodology, modern portfolio theory MPT, and risk management techniques. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: This paper measures the extent to which specific firms have implemented ERM programs and assesses the value implications of these programs. We find a positive relation between firm value and the use of ERM. The ERM premium is statistically and economically significant and approximately 17 percent of firm value.

Description: The article is devoted to risk management in the business process of materials supply for industrial enterprises. The goals of the business process are considered, and the risks of the failure to achieve goals are identified. Probabilities and influence of negative events are estimated. The risk treatment is considered on critical risks, including forming of insurance supplies of materials. The calculations of insurance supplies of materials, taking into account risks, are conducted on the basis of statistical information.

Description: The author constructed the efficient frontier of new business sales by modeling the embedded value and economic capital against a universe of possible growth rates of the three lines of business in a typical three-year planning horizon. The ERM function can use the efficient frontier of new business to provide a more rigorous analysis of the impact of growth rates on the firm’s overall capital efficiency and value creation, hence forming a feedback loop with the businesses in the planning process to optimize the growth strategy.

Description: This presentation was made at the SOA 1975 New York Spring Meeting. It discusses new variables and uncertainties determining future reserve and surplus levels and operating expenses and profits, and how these issues should be addressed. 1975 Record, Vol. 1, No. 2.

Description: Discusses the successes and difficulties companies have had with the plan, methods most successful in securing bank cooperation, legal issues, persistency experience, etc.

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.