不确定时期的加密货币市场溢出效应

IF 3.9 3区 经济学 Q1 BUSINESS, FINANCE North American Journal of Economics and Finance Pub Date : 2025-01-01 Epub Date: 2024-12-13 DOI:10.1016/j.najef.2024.102347
Wei-Peng Chen , Chih-Chiang Wu , Withz Aimable
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引用次数: 0

摘要

本研究考察了不确定时期加密货币市场的流动性溢出效应。实证结果表明,流动性溢出效应低于收益溢出效应和波动溢出效应,且流动性溢出效应在市场震荡时期显著增强。以太坊是流动性溢出的主要传输器,其次是比特币。我们还发现,原油波动性、股票波动性和经济政策的不确定性加剧,导致加密货币市场的流动性溢出效应更为显著。此外,汇率、原油、黄金和股票市场的波动性增加以及经济政策的不确定性将增强以太坊作为加密货币市场流动性冲击传递者的作用。这些发现对于投资者和监管机构管理加密货币市场的风险和不确定性具有重要意义。
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Cryptocurrency market spillover in times of uncertainty
This study examines the liquidity spillovers in the cryptocurrency market during times of uncertainty. The empirical results show that liquidity spillovers are lower than both return and volatility spillovers, and liquidity spillovers increase noticeably during times of market shocks. Ethereum is the dominant transmitter of liquidity spillovers, followed by Bitcoin. We also find that heightened crude oil volatility, stock volatility, and economic policy uncertainty contribute to more significant liquidity spillovers within cryptocurrency markets. Moreover, increased volatility in exchange rates, crude oil, gold, and stock markets and economic policy uncertainty would enhance Ethereum’s role as a transmitter of liquidity shocks in the cryptocurrency market. These findings are relevant for investors and regulators to manage risks and uncertainties in the cryptocurrency market.
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来源期刊
CiteScore
7.30
自引率
8.30%
发文量
168
期刊介绍: The focus of the North-American Journal of Economics and Finance is on the economics of integration of goods, services, financial markets, at both regional and global levels with the role of economic policy in that process playing an important role. Both theoretical and empirical papers are welcome. Empirical and policy-related papers that rely on data and the experiences of countries outside North America are also welcome. Papers should offer concrete lessons about the ongoing process of globalization, or policy implications about how governments, domestic or international institutions, can improve the coordination of their activities. Empirical analysis should be capable of replication. Authors of accepted papers will be encouraged to supply data and computer programs.
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