Description: Impact of low and negative interest rates on various aspects of insurer operations including product management, investment management and capital management.

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: This article provides an update on Department of Labor's fiduciary regulation for retirement plans/investors focusing on a July 2017 request for information.

Description: Article Editorial by Moorhead in The Actuary, February 1979, Volume 13, Number 2

Description: Approaches to filing, approving and implementing LTC rate increases impact policyholder behavior regarding retaining/modifying their coverage.

Description: Innovative products and business processes often come from where you least expect them. This article explores the characteristics of disruptive innovations and provides a framework for identifying and creating disruption in an existing business.

Description: Many top-performing businesses aren’t just risk aware, but rather risk intelligent. Such a posture helps prepare companies for a major event and can demonstrate to a regulator or auditor that an appropriately strong control framework is in place. Better still, companies gain real strategic value from a “risk adjusted” understanding not only of their threats and vulnerabilities, but also the upside opportunities associated with various risks. It starts with having both qualitative and quantitative information to identify, assess and manage risks. Strategic risk management, at its core, is about creating value by increasing transparency and accountability, and quality of information. More than a mere compliance exercise, effective risk management enables more informed strategic decision making, increased accountability and transparency, a greater likelihood of organizational success, and – ultimately – competitive advantage, as borne out by many studies that correlate risk management and financial results.

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.