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: This paper develops a conceptually rigorous, but practical, approach to estimating risk margins that are consistent with actuary's cost of capital concept.

Description: In the current environment of global competition, the question of how much, and in what way, the enterprise risk management (ERM) function contributes to the creation of shareholder value will only increase in importance and urgency.

Description: The U.K. Pension Protection Fund (PPF) was established in April 2005 to protect the pensions of members of U.K. private sector defined benefit pension schemes that have insufficient assets and whose corporate sponsor fails. The fund takes over the pension scheme assets and assumes responsibility for the payment of compensation to the former members of the scheme. PPF is funded by a levy on the population of eligible schemes. The elements of the enterprise risk management of the fund have been developed by reference to practice within proprietary insurance institutions and other pensions funds; their application to this unique financial vehicle is the subject of this paper. The paper draws on references to relevant risk and actuarial work. It is designed to illustrate the application of principles and techniques to a real world example.

Description: The paper discusses the arguments supporting the need for risk culture to transition into ERM culture to be embedded across financial organizations. Creating and maintaining strong ERM culture is paramount to a lasting and meaningful ERM program. It is essential for organizations to understand what ERM culture is, how it gets established and in what way affects the process of ERM implementation. Often, the implications of financial enterprises not focusing on the significance of ERM culture manifested in severely compromised ability to generate sustainable value and market competitive advantage. This paper calls for rethinking the role of ERM culture in the context of managing risks.

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: 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 Enterprise Risk Management Symposium, Chicago. This paper explores cognitive and behavioral theories that can be applied to explain why emerging risk is often overlooked, downplayed or ignored. It also proposes an innovative framework for managing emerging risk within an overall enterprise risk management program.

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 entitled paper.

Description: 2011 Enterprise Risk Management Symposium, Chicago. This paper highlights the impact that a change in conditional data would have on a variety of risk assessment models, with specific emphasis on investment forecasting.

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: 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: This paper uses Interpretive Structural Modeling concepts and techniques to better understand a company's overall risk profile. By viewing all of the risks in a firm as an integrated system, one can apply a computer-assisted learning process to construct a structural graph and illustrate the risk interrelationships. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

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: 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: Interest sensitive products including SPDAs can be thought of as spread lending business. The purpose of the paper is to introduce the excess spread approach to measuring the profitability of nonparticipating insurance products. The article describes how the excess spread approach is used to price and manage the products and its risks. From Society of Actuaries Reporting Monograph, M-AS99-1.