Deutsche Mark–Dollar Volatility: Intraday Activity Patterns, Macroeconomic Announcements, and Longer Run Dependencies

This paper provides a detailed characterization of the volatility in the deutsche mark–dollar foreign exchange market using an annual sample of five-minute returns. The approach captures the intraday activity patterns, the macroeconomic announcements, and the volatility persistence (ARCH) known from daily returns. The different features are separately quantified and shown to account for a substantial fraction of return variability, both at the intraday and daily level. The implications of the results for the interpretation of the fundamental "driving forces" behind the volatility process is also discussed.     

Exploring longitudinal risk‐return relationships

We study a longitudinal fit model of adaptation and its association with the longitudinal risk‐return relationship. The model allows the firm to adjust its position in response to partial learning about a changing environment characterized by two path‐dependent processes—a random walk and a stochastic trend. Computational simulations at low levels of learning in both environmental contexts are consistent with empirical data. However, the results are also consistent when firm behavior appears to be mindless in the form of a random walk. Hence, both imperfect learning and a mindless random walk can lead to the inverse longitudinal risk‐return relationships observed empirically. We discuss this apparent paradox and the possible resolution between mindless and conscious behavior as plausible causes of the longitudinal Bowman Paradox. Copyright © 2014 John Wiley & Sons, Ltd.     

Intergenerational redistribution and risk sharing with changing longevity

Trend increases in longevity are a global phenomenon challenging the fiscal sustainability of current welfare arrangements. Policy proposals abound and often build on implicit assertions concerning intergenerational equity. This paper offers a simple but manageable OLG model with endogenous retirement and cohort-specific longevity to address intergenerational redistribution and risk sharing. While it is well known that a utilitarian planner strives for consumption smoothing, it is shown that healthy ageing calls for work smoothing in the sense that retirement ages increase with longevity. Hence, cohorts with higher longevity should contribute to their larger consumption needs via later retirement, although it is shown that the planner still front-loads some financing (pre-saving). Stochastic longevity raises the issue of intergenerational risk sharing, which implies that cohorts turning out to have a high longevity are compensated at the expense of cohorts turning out to have a relatively short longevity.     

THE IMPLICATIONS OF TRADER COGNITIVE ABILITIES ON STOCK MARKET PROPERTIES

Market structure and individual rationality remain at the centre of a debate as to which is the main driving force in market performance. We examine the role of individual rationality, comparing zero‐intelligence traders with traders with different levels of intelligence using a special adaptive form of strongly typed genetic programming‐based learning algorithm. We use this approach with real data: historical quotes of the S&P 500 and Coca‐Cola stock prices. We find a mixture of positive and negative impacts from intelligence on market performance. Because the concept of market structure as a driving force has been significantly challenged in the literature, we suggest that the inclusion of both intelligence and market structures is important when examining the driving forces of market performance. This inclusion is consistent with the research of Todd and Gigerenzer (Journal of Economic Psychology, 24 (2003) 143–165), which asserts that both environment (market structure) and agents’ cognition play important roles. Copyright © 2013 John Wiley & Sons, Ltd.     

Prices and Information Under Imperfect Competition

Imperfectly competitive product markets cannot be informationally efficient as private information has strategic implications interfering with price adjustment. This is illustrated in a duopoly model with sequential price setting where private information either leads to prices not being adjusted to all available information or to adjusted but biased prices.     

On myopia as rationale for social security

It has been argued that “paternalistically motivated forced savings constitutes an important, and to some the most important, rationale for social security retirement systems.” This paper revisits the role played by myopia in generating a theoretical rationale for pay-as-you-go (PAYG) social security in dynamically efficient economies. If the competing asset is linear storage and myopic agents are allowed to borrow against future pension benefits, there is no welfare-rationale for PAYG pensions. Sufficiently strong myopia may justify such pensions only if agents cannot borrow against their future pension, but then they are at a zero-saving corner. With enough myopia, co-existence of positive optimal pensions and positive private saving is possible if the return to saving declines with saving, as in a model with a neoclassical technology.     

Realized volatility forecasting and market microstructure noise

We extend the analytical results for reduced form realized volatility based forecasting in ABM (2004) to allow for market microstructure frictions in the observed high-frequency returns. Our results build on the eigenfunction representation of the general stochastic volatility class of models developed byMeddahi (2001). In addition to traditional realized volatility measures and the role of the underlying sampling frequencies, we also explore the forecasting performance of several alternative volatility measures designed to mitigate the impact of the microstructure noise. Our analysis is facilitated by a simple unified quadratic form representation for all these estimators. Our results suggest that the detrimental impact of the noise on forecast accuracy can be substantial. Moreover, the linear forecasts based on a simple-to-implement ‘average’ (or ‘subsampled’) estimator obtained by averaging standard sparsely sampled realized volatility measures generally perform on par with the best alternative robust measures.     

Analytical methods for planning educational facilities in an era of declining enrollments

With declining enrollments, metropolitan school districts are faced with problems of property disposition. A school facilities planning and management model utilizing a linear programming approach enables assessment of alternative uses for school facilities. The objective in this study is to minimize expenditures subject to constraints which include a limit to distance traveled, racial ethnic quotas, and overhead costs, such as transportation, maintenance and energy. An economic post-optimal cost sensitivity analysis of the proposed options is presented and also a comparison of this approach to school management with others found in the literature.