Abstract
The three chapters of this thesis investigate key issues on the topic of asset valuation using experimental and machine learning methods. The first chapter studies predictability in the cross-section of international equity indices using the latest methodological developments in the area of machine learning. In the second chapter, the attention is moved to theoretical asset pricing, where a rational channel for asset co-movement is considered using a laboratory experiment. Lastly, the final chapter examines asset valuation in the context of auctions.
Original language | English |
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Qualification | Doctor of Philosophy |
Awarding Institution |
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Supervisors/Advisors |
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Award date | 24 Jun 2020 |
Place of Publication | Tilburg |
Publisher | |
Print ISBNs | 978 90 5668 622 2 |
DOIs | |
Publication status | Published - 2020 |