Description: The objective of this paper is to explore the issues necessary to develop an integrated model of operational risk (OR) and financial risk (FR) within the framework of enterprise risk management (ERM). From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: 2011 Enterprise Risk Management Symposium, Chicago. The authors' stated proposal is to keep formal compliance Key Performance Indicators to support Risk Management system implementation and to have a business plan based on risk assessment.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This presentation discusses how real world Grey Swan scenarios are excellent choices for stress and resiliency testing. In addition, an example is provided of a set of Grey Swan scenarios which correspond to the RBC C-3, Phase II.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. The stated purpose of this paper is to consider whether a more comprehensive and timely measurement framework for risk exposure is now needed and to examine one possible approach. This paper proposes a new approach to risk measurement that, along with capital measurement and more rigorous oversight, will allow banks an ability to manage risk.

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

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. This paper reviews a risk management theory that deals with correlated, non-normally distributed factors, and then applies risk management techniques to the U.S. steel industry using futures contract hedging.

Description: 2011 SOA Enterprise Risk Management Symposium, Chicago. This paper suggests the use of a policy event-based loss estimation method using expert input and simulation for forecasting long duration expenditures: that is to say, there is an efficient time, which is random and observable to replace a physical asset.

Description: This monograph contains papers submitted and presented at the 2013 Enterprise Risk Management Symposium held April 22-24, 2013 in Chicago, Ill. It also includes additional research papers that were submitted and accepted for the 2013 ERM Symposium Call for Papers, but not presented. As in previous years, the goal of the call for papers has been to provide a forum for the very latest in ERM thinking and move forward principle–based research.

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: Financial regulators, rating agencies and many commentators have blamed weak Risk Culture for many of the large losses and financial company failures of the past decade. But their exposition regarding a strong Risk Culture only goes as far as describing a few of the risk management practices of an organization and falls far short of describing the beliefs and motivations that are at the heart of any culture. This discussion will present thinking about how the fundamental beliefs of Neo Classical Economics clash with the recommended risk practices and how the beliefs that underpin Enterprise Risk Management are fundamentally consistent with the recommended risk management practices but differ significantly from Neo Classical Economics beliefs.