Cryptocurrency returns, volatility and investor attention: an empirical analysis using econometric and machine learning techniques
This thesis presents a comprehensive empirical investigation into the rapidly evolving cryptocurrency market, employing a range of advanced econometric and machine learning techniques, based on an overall sample spanning from 18 July 2010 to 5 May 2023. The research is systematically organised into...
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| Format: | Thesis (University of Nottingham only) |
| Language: | English |
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2025
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| Online Access: | https://eprints.nottingham.ac.uk/81074/ |