Optimal Aggregation of Money Supply Forecasts: Accuracy,Profitability and Market Efficiency

We present a general procedure for aggregating expert forecasts which exploits regularities in the structure of information within the forecaster population. Specific information structures lead to aggregation methods which adjust for additive bias, differences in individual accuracy, and correlation among forecasts. As an application, we construct composite predictions of the weekly change in the money supply from forecasts made by twenty major securities dealers, for which high positive correlation is found to be a significant characteristic. Due to instability in the information structure, our methods cannot improve on the accuracy of a simple average in this case. However, they do capture information about the correlation among money supply forecasts which is not fully impounded in short-term interest rates. Forecasts from our models accurately predict the direction of price changes for Treasury bills and Treasury bill futures after a money supply announcement.     

Rewards Available to Currency Futures Speculators: Compensation for Risk or Evidence of Inefficient Pricing?

Filter, channel and moving-average trading rules are compared with rules which use ARIMA price forecasts, by evaluating their ex ante performance for currency futures transactions from December 1981 to November 1987. All of the trading rules are profitable. Market efficiency is discussed Monte Carlo results strongly suggest that the trading profits are too large to be explained by the elusive, time-varying risk premium sought in forward market literature     

A MATCHED PAIRS ANALYSIS OF STATE GROWTH DIFFERENCES

The American states have provided a rich laboratory in which to examine influences on economic growth, physical capital, human capital, and a variety of policy variables. Existing studies typically use broad cross sections of all states or particular regional subsamples. Pairwise matching is an alternative design for better controlling of omitted variables. We estimate a growth model of U.S. states for 1997–2005 before and after applying different pairwise matching techniques. Our results indicate that sample estimates based on pairwise matching substantially improve the overall ability of the growth model to identify the growth‐enhancing effects of lower tax burdens in general and lower individual income‐tax rates in particular. These effects are more pronounced with narrower matching criteria. (JEL H00, C29, O40)     

Racial Differences in Consumer Environmental Concern

Past research has suggested that black and white consumers differ in their concern for the environment. The general consensus has been that whites are significantly more concerned than blacks about environmental issues. Most of this research, however, Is limited in scope and fails to account for variables, such as education and income, which may help to explain these differences. This study investigates and analyzes black and white consumer environmental concern. Results of this study indicate that there are significant differences between African-Americans and white Americans in their environmental concern at lower income and educational levels. However, as income and education rise, the gap in environmental concern between blacks and whites significantly decreases. These findings provide important implications for policy makers in making decisions related to environmental education and protection as well as for businesses intending to target consumers with environmentally focused promotional campaigns.     

Further Evidence on Nontrading-Period Information Release*

Abstract. Using a sample of 856 management earnings forecasts, we provide evidence that managers release larger shock-earnings forecasts in nontrading periods. Our results do not depend on whether the magnitude of the shock is measured exogenously (unexpected accounting earnings) or endogenously (security market reaction). The timing effects are more pronounced for less-precise (i.e., open-interval and closed-interval) forecasts. Also, we provide evidence of an overnight reaction to closed-period management forecast releases. Our results are consistent with explanations for voluntary disclosure that rely on a precommitted policy of information asymmetry reduction (see Diamond 1985; King, Pownall, and Waymire 1990). These explanations lead to predictions of strategic timing of greater shocks in the nontrading period in order to provide the less-informed with a period for information evaluation. Résumé. À partir d'un échantillon de 856 prévisions de bénéfices publiées par la direction de diverses entreprises, les auteurs démontrent que les prévisions publiées par les gestionnaires en période où les titres ne sont pas négociés ont davantage d'impact. Les résultats qu'ils obtiennent ne dépendent pas du caractère exogène (bénéfices comptables inattendus) ou endogène (réaction du marché des valeurs mobilières) de la mesure de l'impact. L'effet du choix du moment est plus prononcé pour les prévisions moins précises (c'est-à-dire à intervalle ouvert et à intervalle fermé). Les auteurs démontrent aussi qu'il se produit une réaction à la publication de prévisions par la direction en période de fermeture, dans les vingt-quatre heures qui suivent la publication. Les résultats de l'étude sont conformes au principe de la présentation facultative d'information dont l'explication repose sur une politique, préalablement adoptée, de réduction de l'asymétrie de l'information (voir Diamond, 1985; King, Pownall et Waymire, 1990). Cette explication mène à des prédictions voulant que l'on choisisse, à des fins stratégiques, les périodes de non-négociation des titres pour publier les prévisions de bénéfices dont l'impact est plus grand, de manière à laisser aux investisseurs moins bien informés un certain laps de temps pour évaluer l'information.