Department of Economics and Booth School of Business, University of Chicago
Mark is investigating models in which economic agents act as statisticians that struggle while trying to infer the best fitting model and making inferences about it. It is using state of art Bayesian numerical methods, but modifying them to include some skepticism on the part of investors. He aim to explain why in some time periods there is ”flight to quality” in search of financial market returns.
Mark Hendricks is currently Associate Director for the University of Chicago’s Financial Mathematics program.