Abstract
The three essays in this dissertation are all related to the topic of time series momentum. In the first essay, my co-authors and I introduce a cross-asset extension of time series momentum that we call cross-asset time series momentum. We show that cross-asset time series momentum outperforms time series momentum, and we link the profitability of both strategies to slow-moving capital in global bond and equity markets. In the second essay, I derive a decomposition of the expected return difference between the two strategies, in order to identify precisely why cross-asset time series momentum outperforms time series momentum. Finally, in the third essay, I present a theory of time series momentum and cross-asset time series momentum that is based on the assumption that some investors have limited attention. I show that investors' limited attention can explain the profitability of both strategies, and I argue that it can also provide a theoretical microfoundation for the slow-moving capital evidence presented in the first essay.
Translated title of the contribution | Essays on Time Series Momentum |
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Original language | English |
Qualification | Doctor's degree |
Awarding Institution |
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Supervisors/Advisors |
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Publisher | |
Print ISBNs | 978-952-64-1228-3 |
Electronic ISBNs | 978-952-64-1229-0 |
Publication status | Published - 2023 |
MoE publication type | G5 Doctoral dissertation (article) |
Keywords
- time series momentum
- finance