LAPSE:2023.20770v1
Published Article
LAPSE:2023.20770v1
Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention
Qingjie Zhou, Panpan Zhu, Yinpeng Zhang
March 20, 2023
Abstract
The uniqueness of this investigation lies in empirically testing and proving the contagion spillover of Bitcoin attention to carbon futures. Specifically, several models are adopted to investigate the explanatory and predictive abilities of Bitcoin attention to carbon futures. The results can be generalized as follows. First, Bitcoin attention Granger causes the variation of carbon futures. Second, Bitcoin attention shows a negative impact on carbon futures and an addition, an invert U-shaped connection exists. Third, the Bitcoin attention-based models can beat the commonly used historical average benchmark during out-of-sample forecasting both in statistical and economic levels. Fourth, we complete robustness checks to certify that the contagion spillover from Bitcoin attention to the pricing of carbon futures does exist. Finally, we prove the linear and non-linear impacts from Bitcoin attention to realized volatility of carbon futures. All the results prove that Bitcoin attention is an important pricing factor for carbon futures market.
Keywords
Bitcoin, carbon futures, contagion spillover, investor attention, volatility
Suggested Citation
Zhou Q, Zhu P, Zhang Y. Contagion Spillover from Bitcoin to Carbon Futures Pricing: Perspective from Investor Attention. (2023). LAPSE:2023.20770v1
Author Affiliations
Zhou Q: School of Economics, Beijing Technology and Business University, Beijing 100048, China; Institute of New Commercial Economy, Beijing Technology and Business University, Beijing 100048, China
Zhu P: School of Economics, Beijing Technology and Business University, Beijing 100048, China
Zhang Y: Business School, Wuchang University of Technology, Wuhan 430223, China
Journal Name
Energies
Volume
16
Issue
2
First Page
929
Year
2023
Publication Date
2023-01-13
ISSN
1996-1073
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Original Submission
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PII: en16020929, Publication Type: Journal Article
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LAPSE:2023.20770v1
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https://doi.org/10.3390/en16020929
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