Description: Read the February 2017 issue of Risks and Rewards published by the Investment Section.

Description: Describes session at the 2015 Life and Annuity Symposium on a new electronic exchange for equity securities, IEX. The exchange rules limit the potential for high frequency traders to front-run customer orders.

Description: Explains the more granular breakout of bond RBC factors proposed to the NAIC. Evaluates alternative asset allocation choices for insurers under the new rules.

Description: The article is based on a study of causes of insolvency and decisions made by management, regulators, and policyholders over the life cycle of the insolvency.

Description: Describes outlook for inflation, generally higher in the US and lower in Japan/Europe. Enumerates macroeconomic drivers of inflation, and comments on the pace of inflation-linked debt issuance globally.

Description: Surveys the outlook for interest rates among Inv Symposium participants, as of Feb 29 2016.

Description: Discussion of the March 1, 2013 Internal Revenue Service (“IRS”) release of PLR 201309011, which addresses the application of the section 817(h) diversification requirements to variable contracts that have invested in illiquid investment vehicles (the “Funds”).

Description: In this article the author concludes that “terrorism may foster a sense of conservatism that we may now need in the marketplace. Now that policy may have to be changed. In the process, risk will become better understood, common sense can replace, to some extent, the irrational behavior or excessive risk taking of the past and we will all appreciate our financial situation much more, and won’t expose ourselves to unrealistic expectations as much Hopefully the actuarial profession can respond to the challenge, since we are the best qualified to quantify such risks in the marketplace.”

Description: Up until recent past, the artificial intelligence portion of data science was looked upon cautiously due to its history of booms and flops . In the latest stream of events, major improvements have taken place in this field and now deep learning, the new leading front for Artificial Intelligence, presents a promising prospect for overcoming problems of big data.