The Demand for Hedging and the Value of Hedging Opportunities

Hedging strategies typically assume that hedging is costless and that only one futures market exists. When these assumptions are dropped, the demand for hedging is shown to depend on basis risk, price risk, and the hedger's risk preference. The marginal and incremental value of hedging opportunities are computed for the general cases of one and two markets and applied to the specific case of Pennsylvania dairy input hedging.     

Aggregation and the Nature of Price Expectations

Market liquidity requires differences of opinion among traders, but market behavior is often modeled using just one representative agent. This paper aggregates trading activity across many traders, at least one of which has rational expectations. Equilibrium price expectations depend on individual risk preferences and the expectations of all traders. Results indicate that positive feedback traders comprise a statistically significant minority of traders that has grown with the prevalence of commodity pools.     

Food consumption dynamics: a nonparametric approach using maximum entropy estimation

We model dynamic consumer choice in a stochastic optimal control framework and show conditions under which observable market share data possess the Markov property. Using 30 years of annual aggregate milk consumption data differentiated by fat content, maximum entropy is used to estimate nonstationary transition probabilities showing how consumer tastes and preferences have changed over time. The maximum entropy approach allows for the estimation of a 4 × 4 transition probability matrix for each year of the sample. Results suggest that skim milk was an absorbing state over most of the sample but that the trend toward skim milk has decelerated and possibly reversed itself since 1998. Our approach provides a useful complement to existing parametric approaches to demand analysis when data are limited or the problem is ill‐posed.     

How Robust is Laboratory Gift Exchange?

The gift-exchange game is a form of sequential prisoner's dilemma, developed by Fehr et al. (1993), and popularized in a series of papers by Ernst Fehr and co-authors. While the European studies typically feature a high degree of gift exchange, the few U.S. studies provide some conflicting results. We find that the degree of gift exchange is surprisingly sensitive to an apparently innocuous change—whether or not a comprehensive payoff table is provided in the instructions. We also find significant and substantial time trends in responder behavior.     

Fractional Integration in Agricultural Futures Price Volatilities

This article tests whether the volatility of agricultural futures prices exhibits fractional integration. Volatility series were constructed for fourteen agricultural futures price series with over 5,300 observations per series. The volatility series exhibit strong long-term dependence, which is an indicator of fractional integration. A fractional integration model, FIGARCH(1,  d , 1), performs significantly better than a traditional volatility model, GARCH(1,1), in modeling agricultural futures price volatility.     

The Demand for Hedging with Futures and Options

The optimal hedging portfolio is shown to include both futures and options under a variety of circumstances when the marginal cost of hedging is nonzero. Futures and options are treated as substitute goods, and the properties of the resulting hedging demand system are explained. The overall optimal hedge ratio is shown to increase when the marginal cost of trading options is reduced. The overall optimal hedge ratio is shown to decrease when the marginal cost of trading futures is decreased. One implication is that hedging demand can be stimulated by a reduction in the perceived cost of trading options through the education of hedgers about options and the initiation of programs such as the Dairy Options Pilot Program. The demand approach is applied to estimate optimal hedge ratios for dairy producers hedging corn inputs in five regions of Pennsylvania. © 2001 John Wiley & Sons, Inc. Jrl Fut Mark 21:693–712, 2001