Description: discussion of risk management and proper pricing of life insurance products.

Description: Article is a detailed discussion of the Risk Management and Own Risk and Solvency Assessment (RMORSA) Model Act that was recently approved by the NAIC and is being adopted by legislatures across the country.

Description: The costly, time-consuming and complicated process of enterprise risk management (ERM) can be improved in many companies and made less tedious for managers by using reasonable data and templates obtained from peer group entities. The models used to calculate economic capital (EC) often underestimate its value because they do not consider decision-maker perception about risk. We assume here that managers, as the decision-makers, have appropriate business understanding and they can provide substantial information about risk characteristics regarding all business processes. Therefore we are focused, in this paper, on collecting data from managers across the different businesses to derive the appropriate knowledge about risky events, the importance of particular types of risk, the relationship between the risk outcomes and the level of risk control in a particular industry. We conclude that the collected data has a high potential for use as a benc hmarking reference and analysis for improving ERM models for individual businesses.

Description: Description of new regulatory risk disclosure for private fund advisers.

Description: Is Risk/Return a sound tool for decision-making? No. It is not consistent, not objective, distorts decision and degrades governance. Why? What shall we do then?

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: Studies default risk through the two-sided exit problem of a time-homogeneous di§usion process with tax payments of loss-carry-forward type and obtains explicit formulas for the exit probabilities. If the lower boundary is understood as the default threshold, then the nondefault probability is solved as a special case. A sufficient and necessary condition for the tax identity is discovered.

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: Discussion of the movement toward principle-based reserves for LTC insurance.

Description: This report reviews the academic literature on risk aggregation and diversification as well as the regulatory approaches. We will point out the advantages and disadvantages of the different approaches with a focus on model risk issues.