【Author】 Bakas, Dimitrios; Magkonis, Georgios; Oh, Eun Young
【Source】FINANCE RESEARCH LETTERS
【影响因子】9.848
【Abstract】This study aims to identify the main drivers of Bitcoin volatility. The empirical analysis is based on a dynamic Bayesian model averaging approach for twenty-two potential determinants. The results reveal that the most important factors for Bitcoin volatility are Google trends, total cir-culation of Bitcoins, US consumer confidence and the S&P500 index.
【Keywords】Bitcoin; Cryptocurrency markets; Volatility; Dynamic model averaging
【发表时间】2022 DEC
【收录时间】2022-10-31
【文献类型】实证数据
【主题类别】
区块链治理-市场治理-数字货币
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