Description: Paper examines the asset allocation behavior of state and local pension plans.

Description: Paper presents a conceptual approach that could improve the security of retiree benefits while reducing the variability of employer contributions and improving the long-term prospects of the plan as a whole.

Description: The current financial model put forth as the market value of public sector pension benefit liabilities is simply the expected cash flows of the accumulated benefit obligation, as defined for current private sector financial reporting, discounted using a risk-free yield curve. This model is in serious need of an overhaul. This monograph addresses this issue.

Description: Contemporary ERM has moved from an event-based view of risk to a hierarchical, systems-based approach. In order to operationalize such an approach, a methodology is proposed in this paper that draws on phylogenetic approaches that have been successfully developed for biological evolution. The technique and process provide an insight into the lineage, pace and impact of external conditions on the evolution of risks. They also provide a unique and rational classification of risk in an enterprise that can be used to optimize risk management resources. An example of a fictitious insurance company is used to illustrate the approach. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: This paper develops an option pricing model that takes cost of capital concepts as its foundation rather than dynamic replication. The resulting model, called the 'C' measure in this paper, is related to the family of Affine Jump Diffusion models that are well known in the finance literature, so it is fairly easy to understand and implement. We argue that this is a reasonable model to use for estimating equity implied volatilities that are beyond the five- to 10-year horizon that can typically be observed in today‘s capital markets. The paper concludes with a short discussion of how to grade from observable market data to the 'C' measure.

Description: The paper argues that Risks Evaluation at its core is a psychological process that can lead to the special type of chaos described in modern Chaos Theory. It will argue that quantification and scientific modeling does not exempt risk assessment from the potential for deep biases. Presented at 2010 Enterprise Risk Management Symposium, Society of Actuaries, April 12-15, 2010.

Description: 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. PPF is funded by a levy on the population of eligible schemes. The elements of the enterprise risk management of the fund have been developed by reference to practice within proprietary insurance institutions and other pensions funds; their application to this unique financial vehicle is the subject of this paper. The paper draws on references to relevant risk and actuarial work. It is designed to illustrate the application of principles and techniques to a real world example.

Description: Global financial crises like the one recently experienced, affected both large and small institutions.Today, when there is heightened need for enhanced risk management tools, some entities are unable to employ sophisticated mechanisms due to limited data availability. Moreover, from the Basel Committee on Banking Supervision’s point of view via Basel II and Basel III, the internal ratings- based (IRB) approach requires that institutions have some reliable estimates of default probabilities of default for each rating grade. Taking the work of previous researches a step further, this paper intends to propose a new dynamic mechanism to for the risk management industry for to calculateing probabilities of default (PD). Through these estimates for the core model, we generate implied probability of default (PD) through actuarial estimation tools and different probability distributions. This mechanism is specialized to work best for low- defa ult portfolios (LDPs). Furthermore, scenario testing is adopted to validate the model against any model- specific bias

Description: A common approach to estimating the total amount of savings required to fund retirement is to first apply a generic “replacement rate” to pre-retirement income, such as 80%, to get the desired retirement income need. That need is then assumed to increase annually at the rate of inflation for the duration of retirement, which is generally assumed to be some fixed period, such as 30 years. Using government data along with a fairly simple market and mortality model, we explore these assumptions to more accurately estimate the true cost of retirement

Description: We introduce a logistic regression-based modeling approach for analyzing the U.S. insured mortality experience, including at advanced ages where less credible experience data are available. As a validation, we create a version of industry basic experience tables based on the model-estimated mortality and compare them to standard industry experience tables produced by the Society of Actuaries (SOA). The conclusion is that properly designed logistic modeling processes can more efficiently utilize available data to deliver solutions for multiple needs, including: a) testing mortality drivers’ statistical significances in explaining mortality variations; b) estimating normalized mortality slopes and mortality differentials such as how mortality increases by duration or varies between underwriting classes while product and attained-age distributions are controlled; and c) addressing analytical challenges such as extrapolating for ultimate mor tality, smoothing between select and ultimate estimations, and constructing multidimensional basic experience tables.