Welcome!
I am an Assistant Professor of Finance at the Yale School of Management. Prior to joining Yale, I obtained my Ph.D. in financial economics from Copenhagen Business School.
My primary research area is empirical asset pricing, where I like to explore new data sets, especially those related to subjective expectations. My research projects are typically data-intensive and use advanced statistical methods such as machine learning.
Contact:
Yale School of Management165 Whitney Ave. New Haven, CT 06511theis.jensen@yale.eduNews
9/2024. Conditional acceptance: Machine Learning and the Implementable Efficient Frontier is conditionally accepted in the Review of Financial Studies!
6/2024. Major revision: Machine Learning and the Implementable Efficient Frontier
6/2024. New code: Code repo for Machine Learning and the Implementable Efficient Frontier now available on GitHub
5/2024. Data: New version of jkpfactors.com
4/2024. New data: Implied cost of capital estimates from around the world used in In Search of the True Greenium
3/2024. New paper: In Search of the True Greenium, with Marc Eskildsen, Markus Ibert, and Lasse Heje Pedersen
1/2024. New prize: Is There a Replication Crisis? wins The Journal of Finance, Dimensional Fund Advisors Prize distinguished paper.
1/2024. Data: Global stock returns and firm characteristics from Is There a Replication Crisis? are now available on WRDS.
Global Finance Data
Research with non-US data used to be difficult, but now it's easy. Check out the data section of my webpage where you can find stock returns, firm characteristics, and equity factors from 93 countries!