Description: Scenario analysis and stress tests based on consideration of shock events and their possible repercussions can provide useful information to management and regulators on a company’s resiliency through a chain of events, as well as support the consideration of a firm’s operations as an integral part of a wider financial system. We discuss how scenario analysis and stress testing can be used to define a company’s risk appetite, which is at the core of a well-embedded ERM framework. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: This paper examines the fundamental principles underlying the theory of rate change. The proposed approach shows improved accuracy as compared to current methods, with particular significance for a non-static book of business.

Description: The bank’s customers viz. non-bank company often get into various kinds of derivative transactions with a bank or some other non-bank company in order to cover or hedge against the unwanted exposure to volatility in interest rates, currency rates or some other underlying rate. A non-bank company defaults when the situation goes unfavorable enough for it to have no other alternative this cascades the impact to many other non-bank companies and banks. I take forward the opinion that non-bank company defaults are more likely than those by a bank in a derivative contract. This risk in the risk management approach using derivatives can be reduced through the derivatives framework proposed in this paper. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: This article sees enterprise risk management as a specific application of knowledge in Order to control deviations from strategic objectives, shareholders’ values and stakeholders’ relationships. Before and after a modeling process it is necessary to find insights into how the application of knowledge management processes can improve the understanding of risk and the implementation of enterprise risk management. The article presents a proposed methodology to contribute to providing a guide for developing risk modeling knowledge and a reduction of knowledge silos, in order to improve the quality and quantity of solutions related to risk inquiries across the organization.

Description: This paper sets out to demonstrate that the economic capital, risk drivers, and business model are intricately integrated, and that this has broad implications on enterprise risk management for financial institutions. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: The purpose of this paper is to address key aspects of the risk/strategy/finance ERM implementation from both the theoretical and applied perspectives. The topics to be covered are: ERM overview including historical perspective, ERM implementation—focusing on strategy, finance and risk, and Case study of how one insurance and investment company approached the integration of a major risk type within the ERM framework, market risk, into the financial planning and reporting process. This paper will focus exclusively on the insurance industry.

Description: In this paper we introduce an approach to manage the organizations risks which is based on project management methodology, modern portfolio theory MPT, and risk management techniques. From 2007 Enterprise Risk Management Symposium, M-AS07-1.

Description: This paper measures the extent to which specific firms have implemented ERM programs and assesses the value implications of these programs. We find a positive relation between firm value and the use of ERM. The ERM premium is statistically and economically significant and approximately 17 percent of firm value.

Description: The author will show that risk management is more than combining several processes and methods it is much more a company wide approach that enables an open dealing with chances and risks, requiring a change in culture, governance and decision rules across the whole organizations.

Description: In the copula literature there are many bivariate distribution families but very few higher dimensional ones. Moreover, most of these are difficult to work with. Some of the bivariate families can be extended to more dimensions but in general the construction of distribution functions with more than two variables is a difficult problem. This paper introduces a construction method that is straightforward to implement and can produce multivariate distribution functions of any dimension.