What drives the uranium sector risk? The role of attention, economic and geopolitical uncertainty

被引:0
|
作者
Lyocsa, Stefan [1 ,2 ,3 ]
Todorova, Neda [4 ]
机构
[1] Slovak Acad Sci, Inst Econ Res, Sancova 56, Bratislava 81105, Slovakia
[2] Masaryk Univ, Dept Finance, Lipova 41a, Brno 60200, Czech Republic
[3] Univ Presov, Fac Management & Business, Konstantinova 16, Presov 08001, Slovakia
[4] Griffith Univ, Griffith Business Sch, Dept Accounting Finance & Econ, Nathan, Qld, Australia
关键词
Uranium; ETF; Nuclear energy; Realized volatility; Forecasting; Geopolitical uncertainty; MARKET VOLATILITY; SELECTION; SEARCH; REGRESSION; MODEL; OIL;
D O I
10.1016/j.eneco.2024.107980
中图分类号
F [经济];
学科分类号
02 ;
摘要
Interest in nuclear energy has increased recently due to its low-carbon footprint, energy security concerns, and technological advances. Despite the recent surge in uranium stocks, there is a lack of research on uranium sector volatility. We fill this gap by analyzing the volatility of the Global X Uranium ETF (URA) from 2010 to 2024 using high-frequency data. Our analysis reveals that HAR models effectively capture URA volatility. Market-wide implied volatility and investor attention, captured by Google search volume, are found to contain valuable information for forecasting uranium sector volatility in an in-sample context. In contrast, economic and geopolitical uncertainty, as well as global financial risk, exhibit limited relevance. Although advanced models show some improvement in out-of-sample predictions, the basic HAR model remains a robust benchmark.
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页数:17
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