Cryptocurrency returns, volatility and investor attention: an empirical analysis using econometric and machine learning techniques

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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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Bibliographic Details
Main Author:	Gadirli, Farid
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2025
Subjects:	Cryptocurrencies; Returns; Volatility; Investor Attention; Machine Learning
Online Access:	https://eprints.nottingham.ac.uk/81074/

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