加密货币与中国金融市场之间的波动性和收益关联性:TVP-VAR 扩展联合关联性方法

IF 3.8 3区 经济学 Q1 BUSINESS, FINANCE North American Journal of Economics and Finance Pub Date : 2024-06-28 DOI:10.1016/j.najef.2024.102231
Wenhao Xie , Guangxi Cao
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引用次数: 0

摘要

我们采用时变参数向量自回归(TVP-VAR)联合关联方法研究了加密货币与中国金融市场之间的动态风险溢出效应,进一步探讨了加密货币对中国金融市场的影响。研究结果表明,加密货币与中国金融市场之间存在非对称风险传导,风险溢出效应非常弱。具体来说,加密货币对中国金融市场的溢出效应明显强于中国金融市场对加密货币的溢出效应。加密货币对中国汇率和黄金的溢出效应更强。随着时间的推移,加密货币的净溢出效应正在减弱。总体而言,加密货币对中国金融市场的收益溢出影响大于波动溢出影响,且不同加密货币的影响程度存在差异。本研究的结论对政策制定者和投资者有若干启示。
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Volatility and returns connectedness between cryptocurrency and China’s financial markets: A TVP-VAR extended joint connectedness approach

We employ a time-varying parameter vector autoregression (TVP-VAR) joint connectedness approach to study the dynamic risk spillover effects between cryptocurrencies and China’s financial market, further exploring the impact of cryptocurrencies on China’s financial market. Our results show that there is asymmetric risk transmission between cryptocurrencies and China’s financial market, and the risk spillover effect is very weak. Specifically, the spillover of cryptocurrencies to China’s financial market is significantly stronger than the spillover of China’s financial market to cryptocurrencies. Cryptocurrencies have a stronger spillover effect to China’s exchange rate and gold. The net spillover effect of cryptocurrencies is weakening over time. Overall, the return spillover impact of cryptocurrencies on China’s financial market is greater than the volatility spillover impact, and the degree of impact of different cryptocurrencies is heterogeneous. The findings of this study have several implications for policymakers and investors.

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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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