Michael S. Haigh
U.S Commodity Futures Trading Commission
1155 21st Street NW
Washington, DC 20581
Institutional Affiliation: U.S Commodity Futures Trading Commission
NBER Working Papers and Publications
|May 2010||Investment under Uncertainty: Testing the Options Model with Professional Traders|
with John A. List: w16038
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 rule called the "bad news principle": the downside investment state influences the investment decision whereas the upside investment state is ignored. This study takes a new approach to examining predictions of the options model by using the tools of experimental economics. Our evidence, which is drawn from student and professional trader subject pools, is broadly consonant with the options model.
Published: John A. List & Michael S. Haigh, 2010.
"Investment Under Uncertainty: Testing the Options Model with Professional Traders,"
The Review of Economics and Statistics,
MIT Press, vol. 92(4), pages 974-984, 04.
citation courtesy of
|December 2006||Information Cascades: Evidence from An Experiment with Financial Market Professionals|
with Jonathan E. Alevy, John List: w12767
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 environment. As a baseline, we compare their behavior to student choices in similar treatments. We further examine whether, and to what extent, cascade formation is influenced by both private signal strength and the quality of previous public signals, as well as decision heuristics that differ from Bayesian rationality. Analysis of over 1,500 individual decisions suggests that CBOT professionals are better able to discern the quality of public signals than their student counterparts. This leads to...
Published: Jonathan E. Alevy & Michael S. Haigh & John A. List, 2007. "Information Cascades: Evidence from a Field Experiment with Financial Market Professionals," Journal of Finance, American Finance Association, vol. 62(1), pages 151-180, 02.