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The impact of macroeconomic news on Bitcoin returns

Corbet, Shaen orcid logoORCID: 0000-0001-7430-7417, Lucey, Brian orcid logoORCID: 0000-0002-4052-8235, Meegan, Andrew, Yarovaya, Larisa orcid logoORCID: 0000-0002-9638-2917 and Larkin, Charles (2020) The impact of macroeconomic news on Bitcoin returns. European Journal of Finance, 26 (14). pp. 1396-1416. ISSN 1351-847X

Abstract
This paper examines the relationship between news coverage and Bitcoin returns. Previous studies have provided evidence to suggest that macroeconomic news affects stock returns, commodity prices and interest rates. We construct a sentiment index based on news stories that follow the announcements of four macroeconomic indicators: GDP, unemployment, Consumer Price Index (CPI) and durable goods. By controlling for a number of potential biases we determine as to whether each of the series’ have a significant impact on Bitcoin returns.While an increase in positive news surrounding unemployment rates and durable goods would typically result in a corresponding increase in equity returns, we observe the opposite to be true in the case of Bitcoin. Increases in positive news after unemployment and durable goods announcements result in a decrease in Bitcoin returns. Conversely, an increase in the percentage of negative news surrounding these announcements is linked with an increase in Bitcoin returns. News relating to GDP and CPI are found not to have any statistically significant relationships with Bitcoin returns. Our results indicate that this developing cryptocurrency market is further maturing through interactions with macroeconomic news. Keywords: Cryptocurrencies; Macroeconomic News; Return Volatility; Sentiment.
Metadata
Item Type:Article (Published)
Refereed:Yes
Uncontrolled Keywords:Cryptocurrencies; macroeconomic news; return volatility; sentiment
Subjects:UNSPECIFIED
DCU Faculties and Centres:DCU Faculties and Schools > DCU Business School
Publisher:Taylor & Francis
Official URL:http://dx.doi.org/10.1080/1351847X.2020.1737168
Copyright Information:© 2020 Taylor & Francis
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:25037
Deposited On:01 Oct 2020 11:48 by Thomas Murtagh . Last Modified 05 Nov 2021 17:20
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