数字加密货币
社会联系
波动性(金融)
ARCH模型
中国
经济
计量经济学
业务
货币经济学
计算机科学
计算机安全
地理
心理学
考古
心理治疗师
标识
DOI:10.1080/13504851.2022.2141440
摘要
This article employs the DCC-GARCH-based approach proposed by Gabauer (2020) to measure the connectedness of the cryptocurrency market, and whether the connectedness indexes became significantly different after China issued the regulatory ban in May 2021. The empirical finding suggests that the cryptocurrency market became significantly more interconnected after the ban was issued. Furthermore, we find that the net connectedness indexes of the majority of cryptocurrencies in the sample changed significantly after the ban. Among all the studied cryptocurrencies, Bitcoin is the largest net volatility receiver and Solana is the largest net volatility transmitter.
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