Value-at-Risk (VaR) determines the probability of a portfolio of assets losing a certain amount in a given time period due to adverse market conditions with a particular level of confidence. Value-at-Risk has received considerable attention from financial economists and financial practitioners...

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...

Theoretical noise trader models suggest that uninformed traders can impact market prices. However, these models' conclusions depend crucially on the assumed specification for noise trader demand. This research seeks to empirically determine the appropriate demand specification for uninformed...

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...