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.

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

Description: This paper builds a model that quantifies the natural hedging benefits of a portfolio of both variable annuities and equity indexed annuities. The model is based on risk-neutral option pricing theory and risk-adjusted performance measure, RAPM. Through a double-tier simulation framework, an optimum product mixture of those two contracts is achieved that provides the best RAPM and therefore deploys capital the most efficiently. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: Insurance company issues that do not necessarily arise in banks are identified and utilized to develop insurer ERM modeling approaches that start from the work done for banks but respond to insurance-specific matters. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

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: Improving understanding of the complex relationships among financial entities is critically important for risk managers and for financial authorities charged with multiple policy objectives. High quality information is lacking at both the intra- and inter-enterprise levels and to support analysis of the financial network. Put simply, the current quality and quantity of relationship data is not sufficient to deliver on the ultimate objectives. For the purpose of this discussion we use a very generic definition of a term relationship somewhat similar to the definition used to describe human relationships. And like in the human relationships case we will not claim that only marriage and blood connection makes your relatives, but also loaning a book, loving, hating and sharing a flat. In the financial context, the relationships may be determined by accounting rules set, for example, by IFRS or US GAAP, as well as regulatory requirements in areas o f risk management, market integrity, know-your-client, network analysis and statistical consolidation. The financial industry and regulators have spent countless hours arguing and debating the definition of ownership. The problem lies in the question itself. We suggest that as part of any relationship data system the best approach is to put the question aside and avoid a conceptual and practical quagmire. Rather, we recommend collecting and storing less-subjective granular data on theactual legal and economic relationships between firms, which provides a flexibleframework from which any user can answer the question on corporate relationships he or she determines is appropriate at a given time. Encouragingly, technological solutions are available to accommodate this multiplicity of requirements in a single solution. The paper outlines where the practical challenges are that inhibit the development of high quality relationship data and how they can be overcome.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This study investigates whether simulation-based models can be used to predict liquidity risk for banks, which must comply with Basel III by January 2015. The paper looks at the process of developing a measurement framework using Black-Scholes and Merton’s asset-based models to measure liquidity risk.

Description: The article provides an introduction to the Stock Value Approach to enterprise risk management (ERM). A clear path toward implementation of comprehensive and pragmatic ERM is shown. The framework is underpinned by a company's goals as they relate to growth of the value of the company stock price.

Description: Most, if not all, ERM frameworks recognize the added value that the quantification of risk brings to the overall risk management process. This paper discusses the need for the development of a quantification framework, which is a clear opportunity for the actuarial and mathematical communities. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

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.