Description: A new reason for the inherent instability of the insurance business can be found in the literature of anthropology. The theory of plural rationalities, also known as Cultural Theory of Risk or simply Cultural Theory, posits that the world is populated by people with four fundamentally different attitudes toward risk. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: This paper considers the ERM problem as an adaptation and stability problem of complex system development. The basic approach of W. Ross Ashby and its development by S. Beer are applied. The author advances the cybernetic functional feedback model as applied to the integrated ERM structural mechanism. Such formulation of the ERM problems seems promising to correctly detail and structurally integrate the various issues, including operational and financial systems linkage, key adaptation parameter of time and its different periods, optimal activity and others.

Description: There is nothing like a serious financial crisis to see if your risk management process works or not. The depth and breadth of the financial crisis in 2008 identified the strengths and more importantly exposed the weaknesses of the risk management process at Lincoln Financial. Enterprise Risk Management is tasked with understanding all the key risks inside a company and preparing the company to respond to those weaknesses. Lincoln Financial was exposed to multiple stress points as a result of the financial crisis and found themselves with insufficient resources to weather the storm. Ultimately the risk management process at Lincoln Financial was not fully capable of dealing with the depth and scope of the financial stress. Without access to government support it can be argued that Lincoln would not have survived the most profound financial crisis of the modern era. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

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.