Description: This paper examines the argument whether enterprise risk management (ERM) adds value to the entire firm. Using the A.M. Best property/casualty insurance business database from 2000 to 2009 for 794 US insurance companies we found evidence to support this argument.

Description: A central problem for regulators and risk managers concerns the risk assessment of an aggregate portfolio defined as the sum of d individual dependent risks Xi. This problem is mainly a numerical issue once the joint distribution of (X1,X2, . . . ,Xd) is fully specified. Unfortunately, while the marginal distributions of the risks Xi are often known, their interaction (dependence) is usually either unknown or only partially known, implying that any computed risk measure of the portfolio is subject to model uncertainty. Previous academic research has focused on the maximum and minimum possible values of a given risk measure of the portfolio, in the case in which only the marginal distributions are known. This approach leads to wide bounds, as all information on the dependence is ignored. In this paper, we integrate in a natural way available information on the multivariate dependence and provide easy-to-compute bounds for the risk measure at hand. We observe that incorporating the information of a well-fitted multivariate model may, or may not, lead to much tighter bounds, a feature that also depends on the risk measure used. We illustrate this point by showing that the Value-at-Risk at a very high confidence level (as used in Basel II) is typically prone to very high model risk, even if one knows the multivariate distribution almost completely. Our results make it possible to determine which risk measures can benefit from adding dependence information (i.e., leading to narrower bounds when used to assess portfolio risk), and, hence, to identify those models for which it would be meaningful to develop accurate multivariate models.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This is the abstract of the entitled paper.

Description: This is Table 2 from a March 2011 presentation at the 2011 Enterprise Risk Management Symposium entitled Capital Allocation in the Property-Liability Insurance Industry.

Description: This paper starts from the viewpoint that enterprise risk management [ERM] is a specific application of knowledge in order to control deviations from strategic objectives, shareholders’ values and stakeholders’ relationships. This study is looking for insights into how the application of knowledge management processes can improve the implementation of ERM.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. In this paper, a multivariate quasi-negative binomial distribution is proposed to model frequency dependence among different risk types. The operational risk diversification effect is illustrated through frequency dependency modeled by the bivariate quasi-negative binomial distribution under a framework of Monte Carlo simulation.

Description: In a well-designed enterprise risk management (ERM) program, the firm integrates risk management into the strategic planning process, addressing strategic risk, financial risk, operational risk and hazard risk under a single overarching process. This is particularly important to large financial firms, such as property and casualty (P&C) insurers, which face a diverse set of risks. In contrast to previous studies that document a significant product line and geographic diversification discount relative to more focused competitors, our analysis suggests that firms with effective ERM programs exhibit a performance premium. Using the Standard and Poor’s (S&P) ERM ratings from 2006 to 2012, we find that product line diversification has a significant positive effect on value for more diversified firms with well-implemented ERM programs, as compared to those with weak ERM.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This paper uses a case-study research design looking at two companies: Infosys and Rolls-Royce Corp. The goal of the research is to develop an explanation of how ERM brings about the strategic implications or its “promise” as it is popularly known in the ERM circle. The influential factors and how they are linked to the ERM process of achieving strategic implications are highlighted.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. This is the abstract of the referenced paper.

Description: This paper presents a value-at-risk platform for integration of assets and liabilities in a rigorous risk management framework. The model measures all major risks faced by a P&C company. The paper demonstrates how this new technology can be used to assist in maximizing capital efficiency and migrating from a risk management environment governed almost exclusively by ad-hoc rules of thumb to one governed by true risk management principles. From 2006 Enterprise Risk Management Symposium, M-AS06-1.