Description: Stuart Klugman provides a preliminary education update as it pertains to Exams P/1, FM/2, and MLC.

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: Managing corporate defense is therefore an extremely responsible station, as it involves the responsibility for adequately defending the interests of all of the stakeholders of an organization, both in terms of monetary and human implications.

Description: During the last decade, a vast activity had been observed in generalizing of the classical discrete distributions. The main idea was to apply the extended versions fur modeling different kinds of dependent count or frequency data structure in various fields. In the present paper we suggest extensions of the classical univariate geometric, negative binomial, Poisson, Bernoulli, binomial and logarithmic series distributions, by including an additional parameter. It has a natural interpretation in terms of zero-inflation, and because of this we named the corresponding generalized versions adding inflated-parameter.

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.

Description: This paper is the introduction to the Society of Actuaries 50th Anniversary Monograph, which contains significant papers published by SOA-sponsored research publications during the past fifty years. This introduction describes the selection process and provides a brief summary of each of the seven papers making up the monograph.