Description: This paper identifies some of the special ERM considerations that a corporation which has employees who are members of a multi-employer pension plan, MEPP, should include in its ERM program. The focus of the paper is on the MEPP as an entity and tools to be used in its ERM. From 2006 Enterprise Risk Management Symposium, M-AS06-1.

Description: This paper presents an advanced approach to enterprise risk management that, according to the author, significantly improves upon current approaches. The two fundamental elements are a focus on the management of strategic plans and a heavy reliance upon probability theory.

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

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: 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 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: This paper uses accounting data of the life insurance industry in 2003 to examine the empirical relationship between the spectrum of enterprise risks and the spectrum of enterprise risk management tools of this industry.

Description: 2011 ERM Symposium, Chicago. This is the abstract of the entitled paper.

Description: This paper evaluates the current practice of operational risk management in the insurance sector. Operational risk is nothing new in insurance, but, because of regulatory requirements, companies have initiated computation of risk capital for their operational losses. The current effort to manage operational risk is not a naturally evolving phenomenon, and operational risk, in the Basel Committee on Banking Supervision’s Basel II definition, is unlikely to be a significant cause of insurers’ failure. In addition, the current Basel II definition of operational risk is not suitable for the insurance sector. Consequently, the invention of models and tools based on the definition is incomplete and illusionary. My findings are based on the analysis of dozens of interviews with insurance industry professionals. I demonstrate the way operational risk is quantified in practice, show that the result obtained from this computation is of littl e use in managerial decision making and propose a set of policy recommendations illustrating the characteristics of operational risk in insurance. This study can be used as a platform for launching dialogues to initiate fresh thinking about operational risk in insurance beyond the current artificial and narrow boundaries.

Description: The purpose of this paper is to outline a framework that measures 'decision' and to argue that such a measure is the rightful focus of the enterprise. The paper develops the principle of maximizing expected utility as a normative decision theory from its philosophical roots in order to motivate its proper usage i.e., to the enterprise's ultimate good. From 2006 Enterprise Risk Management Symposium, M-AS06-1.