PhD defence: Theis Ingerslev Jensen
Essays on Empirical Asset Pricing
This thesis studies the relationship between risk and return in the stock market. The first chapter finds that analysts expect to earn a much higher return from investing in risky stocks relative to safe ones, but, nevertheless, the realized return difference is close to zero. The second chapter asks whether there is a replication crisis in finance and finds that the papers we try to replicate are robust to changes in the original methodology, various statistical considerations, and can be replicated out-of-sample in stock markets around the world. The third chapter shows how to use machine learning to build a portfolio that optimally balances risk, return, and trading costs.
Primary Supervisor:
Secondary Supervisors: Professor David Lando
Assessment Committee: Professor Jens Dick-Nielsen (Chair)
Associate Professor Andrea Vedolin
Associate Professor Christian Heyderdahl-Larsen
Thesis:
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