The impact of news, events or volatility on the underlying market microstructure has been studied extensively in finance literature. Common to many of these studies is the arrival of "true" news. In this paper we use unique data on error trades that have occurred on the CBOT and CME and assess...

An important class of investment decisions is characterized by unrecoverable sunk costs, resolution of uncertainty through time, and the ability to invest in the future as an alternative to investing today. The options model provides guidance in such settings, including an investment decision...

Previous empirical studies of information cascades use either naturally occurring data or laboratory experiments with student subjects. We combine attractive elements from each of these lines of research by observing market professionals from the Chicago Board of Trade (CBOT) in a controlled...

Directed Acyclic Graphs (DAG's) and Error Correction Models (ECM's) are employed to analyze questions of price discovery between spatially separated commodity markets and the transportation market linking them together. Results from our analysis suggest these markets are highly interconnected...

This paper presents a manageable and effective way of nesting two popular, yet distinct approaches to obtain optimal hedging ratios - time-series econometrics (GARCH) and dynamic programming (DP). The nested DP-GARCH model is then compared to a DP-GARCH model that accounts for variability in the...