The noise trader sentiment model of De Long, Shleifer, Summers, and Waldmann (1990a) is applied to futures markets. The theoretical results predict that overly optimistic (pessimistic) noise traders result in market prices that are greater (less) than fundamental value. Thus, returns can be...

The statistical forecasting efficiency of new crop corn and soybean futures is the topic of frequent academic inquiry. However, few studies address the usefulness of these forecasts to economic agents? decision making. Each year Central Illinois producers are faced with the decision to plant...

Considerable research effort has focused on the forecasting of asset return volatility. Debate in this area centers around the performance of time series models, in particular GARCH, relative to implied volatility from observed option premiums. Existing literature suggests that the performance...

The informational value of USDA corn and soybean production forecasts is investigated for the period 1971-1992. Three tests of informational content are considered: i) a relative forecast accuracy test, ii) a price reaction test, and iii) a willingness-to-pay test. Overall, the results suggest...

Annual rebalancing of the S&P GSCI index provides a novel and strong identification to estimate the shape of supply curves for commodity futures contracts. Using the 24 commodities included in the S&P GSCI for 2004–2017, we show that cumulative abnormal returns (CARs) reach a peak of 59 basis...

Many believe that index fund investment was the main driver of the 2007-2008 spike in commodity futures prices. One group of empirical studies finds evidence that commodity index investment directly or indirectly had a substantial impact on commodity futures prices. However, the data and methods...