Description: A discussion of the growing popularity of annuities with guaranteed minimum income benefits GMIB during times of bear markets and some related discussion of product features, minimum statutory reserves and capital requirements for the product

Description: A discussion about how insurance companies weathered the storm of low interest rates in 2003.

Description: Discussion of recent Society of Actuaries sponsored research.

Description: discussion of a LIMRA survey on the quantity and types of recent product development efforts of life insurance companies and the considerations driving these efforts

Description: Milliman, Inc. recently conducted a survey of leading variable annuity insurers to better quantify the current dynamics of the GLB market. The scope of the Milliman survey included variable annuities that offered any type of GLB during calendar year 2004 and during the first quarter of 2005.

Description: Provide high level summary of predictive modelling.

Description: This article discusses how to use distribution systems to get a bigger share of wallet with each customer.

Description: This article contains a summary of some of the presentations given at the October 2012 SOA Annual Meeting. This article does not cover all sessions that are related to product development, but shares observations that have been made by various members of the SOA Product Development Section Council.

Description: This article discusses sessions from the product development section post symposium seminar on product development - beginning to end. Sessions included product specific topics like term, universal life with secondary guarantees, and indexed products. Panel discussions included inforce management and advanced modeling issues.

Description: As we further explore how life insurance customers think and behave, we can address their needs more effectively. Using data and predictive analytics we can better identify groups to target. By embracing technology and approaching customers with the right distribution channels based on preference, we can make life insurance more accessible. We can speak the customers' language. We can understand that they are not all created equal, and tailor products to meet individual needs. In short, we can leverage data, research and technology to become very consumer centric. Getting closer to the customer, can we lower the perceived cost, and raise the perceived benefit of life insurance to a point where customers get excited? Will this not then be a product to buy, not sell?