Incomplete information in the acid rain game

This paper provides a model that attempts to deal with the transboundary nature of the acid rain problem, using a game theoretic approach consistent with mainstream economic theory. The general forms of cooperative and non cooperative equilibria in explicit and implicit set-up of the model are presented under the assumptions of complete and incomplete information.     

The measurement of employment diversity for states and regions

This paper uses an index to measure the level of employment diversity at the state level of two periods spanning two decades. The index is based on aggregating employment at eight major sectors. The findings indicate a movement toward more specialization in the latter period (2000) as compared to an earlier period (1970s).     

The origins and evolution of scenario techniques in long range business planning

Scenario Planning has been around for more than 30 years and during this period a multitude of techniques and methodologies have developed, resulting in what has been described as a ‘methodological chaos’ which is unlikely to disappear in the near future (A. Martelli, Scenario building and scenario planning: state of the art and prospects of evolution, Futures Research Quarterly Summer (2001)). This is reflected in the fact that literature reveals an abundance of different and at times contradictory definitions, characteristics, principles and methodological ideas about scenarios. It has been suggested that a pressing need for the future of scenarios is amongst other things, to resolve the confusion over ‘the definitions and methods of scenarios’. This paper makes a beginning at this need by tracing the origins and growth of scenarios and the subsequent evolution of the various methodologies; a classification of the methodologies into three main schools of techniques is given and the salient features of these schools are compared and contrasted.     

The Split of the S&P 500 Futures Contract: Effects on Liquidity and Market Dynamics

The Chicago Mercantile Exchange reduced the size of its S&P 500 futures contract when it reduced the multiplier from 500 to 250 and increased the minimum tick from 0.05 to 0.10 on November 3, 1997. This is a rare major change in a very successful contract's specifications. We analyze effects of this change on liquidity and market dynamics in both a univariate and a multivariate context. The main contribution of this study is the use of multiple intervention analysis with various dynamic response functions to examine the effects of the split while taking into account several other major market events surrounding it. A multivariate analysis is also used to test the impact of the split using a structural model of liquidity and market dynamics. Empirical findings offer limited support for the hypotheses that smaller contract size resulted in smoother trading, and that more public customers trade the S&P 500 futures contract following its split. We observe a reduction in the average transaction size as well as a temporary narrowing of the bid-ask spreads, but no significant change in volatility that can be attributed to the split. We do not find any significant and lasting impact on other liquidity and market variables.     

Capital Structure and Financial Risk: Evidence from Foreign Debt Use in East Asia

Using a data set of East Asian nonfinancial companies, we examine a firm's choice between local, foreign, and synthetic local currency (hedged foreign currency) debt. We find evidence of unique as well as common factors that determine each debt type's use, indicating the importance of examining debt at a disaggregated level. We exploit the Asian financial crisis as a natural experiment to investigate the role of debt type in firm performance. Surprisingly, we find that the use of synthetic local currency debt is associated with the biggest drop in market value, possibly due to currency derivative market illiquidity during the crisis.     

Modeling nonlinear dynamics of daily futures price changes

The purpose of this article is to characterize linear and nonlinear serial dependence in daily futures price changes. The daily prices of four futures are included in this study: (i) S&P 500; (ii) Japanese yen; (iii) Deutsche mark; and (iv) Eurodollar. Our major empirical findings are: (i) Based on the results of nonlinearity tests (that is, the BDS, the Q², and the TAR-F tests), we found all futures price changes contain nonlinearity in the series; (ii) a GARCH model can explain the source of nonlinearity for three out of four series; (iii) a threshold autoregressive model and autoregressive volatility model can adequately represent nonlinear dynamics of S&P 500 series; and (iv) deterministic chaos is not evident in the scaled residuals from the nonlinear time series models. Hence we favor a statistical time series approach to represent the data-generating mechanism of futures price changes. © 1999 John Wiley & Sons, Inc. Jrl Fut Mark 19: 325–351, 1999     

Hot Spots: Why Some Teams,Workplaces and Organizations Buzz with Energy—and Others Don't by Lynda Gratton

Books reviewed in this issue:

• ? Hot Spots: Why Some Teams, Workplaces and Organizations Buzz with Energy—and Others Don't
• ? Cracking the Ad Code
• ? Innovation Tournaments: Creating and Selecting Exceptional Opportunities

     

A meta-analysis of community-based studies on quality protein maize

Biofortification, or the improvement of nutritional quality in food crops, is a promising strategy to combat undernutrition, particularly among the rural poor in developing countries. However, traditional methods of impact assessment are inadequate for biofortified crops, as they do not consider their nutritional benefits. Evidence for the nutritional impact of maize varieties with improved protein quality, collectively known as quality protein maize (QPM), was evaluated using meta-analysis of randomized, controlled studies in target communities. A new and generalizable effect size was proposed to quantify the impact of QPM on a key outcome, child growth. The results indicated that consumption of QPM instead of conventional maize leads to a 12% (95% CI: 7–18%) increase in the rate of growth in weight and a 9% (95% CI: 6–15%) increase in the rate of growth in height in infants and young children with mild to moderate undernutrition from populations in which maize is the major staple food. The proposed effect size and use of bootstrapping to determine statistical significance addressed some methodological limitations in the existing studies.     

Does the weather affect stock market volatility?

This paper investigates the empirical association between stock market volatility and investor mood-proxies related to the weather (cloudiness, temperature and precipitation) and the environment (nighttime length). Overall, our results suggest that cloudiness and length of nighttime are inversely related to historical, implied and realized measures of volatility. The strength of association seems to vary with the location of an exchange on Earth with respect to the equator. Weather deviations from seasonal norms and dummies representing extreme weather conditions do not offer additional explanatory power in our datasets.