Description: Increasing uncertainties and volatility in financial as well as real goods markets increasingly reveal that controlling systems based on deterministic and pseudo-exact values are insufficiently eligible to manage the business activities. This raises the question how management systems can be modified to generate the adequate management impulses in volatile periods. Risk management deals from identifying, evaluating and aggregating chances and risks, which again determine the potential fluctuation range of relevant performance indicators. Everyday corporate life shows that risk management is considered important; but the corresponding processes to identify, evaluate and report chances and risks are seldom part of established decision criteria. This “paradox” lets assume that risks are managed in various differing and unsystematic ways. The combination of traditional controlling methods and risk management is not primarily a methodological challenge. The behavior of the whole organization, practiced over a long-year period, has to be transferred into a new corporate culture of transparent dealing with chances and risks. This paper describes the necessary change management process, which has to come along with necessary methodological modifications.

Description: The purpose of this paper is to explore a methodology for choosing among techniques for managing contribution volatility in defined- benefit pension plans. A frequently used – and as often criticized – method for managing contribution volatility is to base actuarial cost on smoothed assets. Our goal in this paper is to develop a methodology for measuring and evaluating the quantitative impact of competing asset smoothing policies. We proceed by investigating a series of basic pension metrics, evaluating the characteristics of each using a simulated pension plan. We then use normalized and weighted combinations of these metrics to determine an optimal smoothing policy.

Description: The purpose of this paper is to explore pension plan dynamics— – the behavior of a defined- benefit pension plan over time in an uncertain environment. We proceed by simulating the behavior of a model plan in a stochastically varying economic environment. While both the model and its environment are simplified, the model displays interesting behavior suggesting policy considerations that should be included in the design and funding of these plans.

Description: The purpose of this paper is to explore pension plan metrics— – measuring the behavior of a defined- benefit pension plan in an uncertain environment. Our goal is to measure and evaluate the quantitative impact of competing policy choices. We proceed by investigating some basic pension metrics, evaluating the characteristics of each using a simulated pension plan. We find that some typical metrics— – such as the mean and standard deviation— – are useful only in certain circumstances and that other less traditional measurements are sometimes better suited to evaluating policy choices.