Description: This monograph was presented at the 2011 Enterprise Risk Management Symposium, held March 14-16 in Chicago. The author, writing from a property-liability insurance perspective, notes that capital allocation is a theoretical exercise because all of a firm’s capital could be depleted to cover a significant loss arising from any one segment. However, firms do need to allocate capital for pricing, risk management and performance evaluation. In this paper, the cost of capital in financial markets is incorporated into the Ruhm-Mango-Kreps algorithm to yield one allocation that reflects the true cost of capital an insurer would face. Table only.

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 paper focuses on the role of holism in enterprise risk management ERM. The performance measure known as market consistent embedded value is discounted for being overly reductionistic. The concept of an economic capital charge or credit is seen here as a potential bridge from the reductionistic to the holistic approach. It shows some promise for achieving holism, but falls short.

Description: This paper provides a novel approach to the valuation of the market value of economic surplus that is stable and immune from “market noise”.

Description: This paper provides a novel approach to the valuation of the market value of economic surplus that is stable and immune from “market noise”.

Description: This paper discusses both the theoretical and the application aspects of stress testing in managing enterprise risks. Effective stress testing maximizes the risk adjusted enterprise profit by controlling major risks financial, strategic, operational and hazard upon identifying risk metrics and modeling the correlations. A case study is included for demonstration purposes.

Description: This paper demonstrates the use of Quantile Regression in the development and understanding of conditional value at risk (VaR) models for enterprise risk management.

Description: The purpose of this paper is to build a bridge between the traditional methods of looking at financial risk and insurance risk. The paper starts by explaining the concepts behind VaR models of economic capital used in banking. Differences between actuarial and financial views of risk are reviewed and explained. The paper concludes with proposing, developing, and parameterizing a true VaR model of insurance loss reserve risk, which combines several lines of business. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: This paper addresses the allocation of solvency capital in multi- line financial businesses. Although this paper is uniformly applicable to financial enterprises of all types, the terminology in the paper is mainly that of insurance. The TailVaR risk measure is extended in a natural way to allocating capital to each of the business units. This method of allocation allocates capital in a way that is invariant over the method of decomposing the enterprise into business units. Analytic results are derived in the case of multivariate Normal risks. The key result of this paper is that the TailVaR-based proportional allocation of total required capital is identical to that based on mean-variance considerations analogous to the CAPM in the case of the multivariate Normaldistribution.

Description: In this Chapter we present a novel way for estimating aggregated EC figures based on Bayesian copula estimation. Contrary to the classic approach of using a single inter-risk- correlation matrix we derive a probability distribution of possible correlation matrices that enables us to tackle the important issue of parameter uncertainty. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.