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Predicting cryptocurrency market volatility: Novel evidence from climate policy uncertainty
被引:3
|作者:
Jin, Daxiang
[1
]
Yu, Jize
[2
]
机构:
[1] Southwest Jiaotong Univ, Sch Econ & Management, Chengdu, Peoples R China
[2] UCL, Sch Management, London, England
关键词:
Climate policy uncertainty;
Cryptocurrency market;
GARCH-MIDAS;
BITCOIN;
RETURN;
GOLD;
D O I:
10.1016/j.frl.2023.104520
中图分类号:
F8 [财政、金融];
学科分类号:
0202 ;
摘要:
This study employs two mixed-frequency volatility models to examine the impact of climate policy uncertainty on cryptocurrency price volatility. The empirical findings reveal that climate policy uncertainty has a significant positive impact on cryptocurrency price volatility and that this effect is mainly driven by extreme climate policy shocks. That is, abrupt and substantial shifts in climate policy lead to increased volatility in cryptocurrency prices. Moreover, different cryptocurrencies exhibit different responses to climate policy uncertainty. In addition, the predictive performance of the model that accounts for extreme shocks to climate policy uncertainty outperforms the basic GARCH-MIDAS-CPU model for all three cryptocurrencies.
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页数:11
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