Description: This articles looks at how life insurance companies can profitably address the middle market.

Description: This is a compilation or risk management terms garnered from a survey of risk professionals supplemented with analysis of firm-level information on significant risks as reported in 10-K financial statements. Results indicate the existence of significance differences in terminology. The dominating pattern observed is a dichotomy between internal and external perceptions. Also observed is a difference between terms used by actuarial professionals and traditional risk managers.

Description: This session is about actuaries' relationships with, and independence from, lawyers and accountants.

Description: This presentation, session number 63PD, took place at the 2000 Annual Meeting of the Society of Actuaries, held October 15-18 in Chicago.The panel discusses various reinsurance problems that have been reported in trade journals and the popular press. Topics include the London Circle, underpriced workers' compensation pools and medical stop loss, vertical pricing, and other problems. From the Record of the Society of Actuaries, Volume 26, No. 3.

Description: This editorial is a rejoinder to a letter signed by 346 Society members that protests the action of the Board of Governors that implemented an experiment to grant credit toward Society membership for achieving a certain standard in accredited college courses for specified subjects.

Description: Discussion of recent laws and regulatory changes that have provided Medicare Advantage plans greater flexibility in benefit offerings and plan designs.

Description: September 2009 issue of the Reinsurance Section newsletter

Description: Models are meant to represent reality, and they often do so quite well. However, they cannot make decisions that contradict the modeling algorithm or underlying assumptions and data. Neither do they possess emotional intelligence or the ability to adjust for social equality. As complexity of models evolved to predictive analytics and machine learning, reliance on model results has increased as well. Over the last decade, as actuaries, modelers and data scientists looked closer into their models, they often identified certain social biases in model assumptions and algorithms. From the use of indicators like credit scores to geo-social segmentation, insurance models have often skewed results in favor of certain socio-economic groups. Underlying this segmentation, one can identify bias around access to health care and education, socioeconomic groupings and financial literacy.

Description: Majority of Latin American Consumers Worry About Financial Security in Retirement Yet Only 20% Have Done Any Planning: