Description: Abstract: The U.K. Pension Protection Fund (PPF) was established in April 2005 to protect the pensions of members of U.K. private sector defined benefit pension schemes that have insufficient assets and whose corporate sponsor fails. The Fund takes over the pension scheme assets and assumes responsibility for the payment of compensation to the former members of the scheme. The PPF is funded by a levy on the population of eligible schemes. To improve its ERM framework, the PPF has undertaken a reverse stress testing exercise. This analysis provided the organization with new insights into its risk profile, the scenarios leading to the PPF’s potential “failure,” and interactions between these scenarios. This paper discusses the principles and objectives of reverse stress testing in the special case of the PPF and then illustrates the application of complex system science techniques for the purpose of reverse stress testing.

Description: This article is the first of three parts in helping you to move forward when your career growth seems to be stalled. In this part, help you discover WHY your career has slowed and then move on to the WHAT and HOW in parts 2 and 3.

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: The impact of Fed’s QE program on the financial markets has been enormous and profound. The tapering and the eventual removal of the stimulus will be equally enormous and profound, and may be disruptive. To adapt to the potential regime change in near future, some investment strategies have been proposed: (1) shorten duration to focus on the short end of the yield curve and create laddered portfolios; (2) reduce allocation to high yield bonds; (3) rotate out interest rate sensitive sectors such as utilities; and (4) use interest rate derivatives to hedge the interest rate uncertainties lying ahead. On the other hand, contrarians who see the QE program continuing may stay the course and consider (1) adding duration, (2) gaining exposure to high yield bonds, and (3) increasing allocation to utilities and telecoms.

Description: The article makes reference to how the intervention by government agencies and institutions into the financial marketplace are creating distortions. This artificial tampering into market mechanisms will likely result in major financial dislocations down the road as natural economic forces (coined by the term "invisible hand") eventually are allowed to come into play.

Description: The article focuses on some of the major challenges and considerations an insurance carrier faces with pricing, management, and administration of LTC Combo Products.

Description: Discussion of the recent promulgation of the mega rule interpreting HIPAA and GINA and the potential impact of the mega rule on long-term care insurers' use of genetic information in underwriting coverage.

Description: This article contains excerpts from the first three articles that were released through the strategic initiative - Commercial Health Care: What’s Next?

Description: Decomposes guaranteed minimum maturity benefit option into a basket of components, and values each component with both a Black-Scholes model and a regime-switching GARCH model. Performs sensitivity analysis on dynamic lapse assumption.