The effect of policy uncertainty on the volatility of bitcoin

IF 1.3 Q3 ECONOMICS
Manel Mahjoubi, J. Henchiri
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Abstract

Purpose This paper aims to investigate the effect of the economic policy uncertainty (EPU), geopolitical risk (GPR) and climate policy uncertainty (CPU) of USA on Bitcoin volatility from August 2010 to August 2022. Design/methodology/approach In this paper, the authors have adopted the empirical strategy of Yen and Cheng (2021), who modified volatility model of Wang and Yen (2019), and the authors use an OLS regression with Newey-West error term. Findings The results using OLS regression with Newey–West error term suggest that the cryptocurrency market could have hedge or safe-haven properties against EPU and geopolitical uncertainty. While the authors find that the CPU has a negative impact on the volatility of the bitcoin market. Hence, the authors expect climate and environmental changes, as well as indiscriminate energy consumption, to play a more important role in increasing Bitcoin price volatility, in the future. Originality/value This study has two implications. First, to the best of the authors’ knowledge, the study is the first to extend the discussion on the effect of dimensions of uncertainty on the volatility of Bitcoin. Second, in contrast to previous studies, this study can be considered as the first to examine the role of climate change in predicting the volatility of bitcoin. This paper contributes to the literature on volatility forecasting of cryptocurrency in two ways. First, the authors discuss volatility forecasting of Bitcoin using the effects of three dimensions of uncertainty of USA (EPU, GPR and CPU). Second, based on the empirical results, the authors show that cryptocurrency can be a good hedging tool against EPU and GPR risk. But the cryptocurrency cannot be a hedging tool against CPU risk, especially with the high risks and climatic changes that threaten the environment.
政策不确定性对比特币波动性的影响
目的本文旨在研究2010年8月至2022年8月美国的经济政策不确定性(EPU)、地缘政治风险(GPR)和气候政策不确定性(CPU)对比特币波动率的影响。本文采用了 Yen 和 Cheng(2021 年)的实证策略,他们修改了 Wang 和 Yen(2019 年)的波动率模型,作者使用了带 Newey-West 误差项的 OLS 回归。作者发现,CPU 对比特币市场的波动性有负面影响。因此,作者预计未来气候和环境变化以及无节制的能源消耗将在增加比特币价格波动性方面发挥更重要的作用。首先,据作者所知,本研究首次扩展了不确定性维度对比特币波动性影响的讨论。其次,与之前的研究相比,本研究可被视为首次研究气候变化在预测比特币波动性中的作用。本文从两个方面对加密货币波动性预测的文献做出了贡献。首先,作者利用美国三个不确定性维度(EPU、GPR 和 CPU)的影响讨论了比特币的波动性预测。其次,基于实证结果,作者表明加密货币可以成为抵御 EPU 和 GPR 风险的良好对冲工具。但是,加密货币不能成为 CPU 风险的对冲工具,尤其是在高风险和气候变化威胁环境的情况下。
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来源期刊
CiteScore
2.80
自引率
8.30%
发文量
13
期刊介绍: The Journal of Financial Economic Policy publishes high quality peer reviewed research on financial economic policy issues. The journal is devoted to the advancement of the understanding of the entire spectrum of financial policy and control issues and their interactions to economic phenomena. Economic and financial phenomena involve complex trade-offs and linkages between various types of risk factors and variables of interest to policy makers and market participants alike. Market participants such as economic policy makers, regulators, banking and competition supervisors, corporations and financial institutions, require timely and robust answers to the contemporary and emerging policy questions. In turn, such answers require thorough input by the academics, policy makers and practitioners alike. The Journal of Financial Economic Policy provides the forum to satisfy this need. The journal publishes and invites concise papers to enable a prompt response to current and emerging policy affairs.
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