Description: Risk management and capital budgeting are two critical components of the corporate decision process. They often need to be considered jointly at the corporate level because of their natural interaction through the dependent risk exposures and other synergetic relationships within an intricate corporate structure in a dynamic business environment. . This paper develops an integrated framework that aligns these two important corporate strategies across business divisions to optimize the streamlined enterprise strategic goal in a multi-period setting. The proposed integrated framework can serve as a practical guideline for corporate executives to optimally coordinate capital budgeting and risk management at the enterprise level.

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.