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• W3180342893 abstract "In this paper, we attempt to analyze the dynamic interplay between Bitcoin, social media, and the Covid-19 health crisis. For this end, we apply the fractional autoregressive vector model, fractional error correction model and impulse response functions on daily data over the period 31/12/2019-30/10/2020. Our results clearly show the short- and long-term evidence of the nexus between the Bitcoin price, social media metrics (Tweets and Google Trends) and the intensity of the Covid-19 pandemic. As well, the Covid-19 pandemic does not impact on social media metrics in the short- and long-term. On the other hand, the Covid-19 pandemic positively affects social media metrics. Also, the Covid-19 pandemic encourages investing in digital currencies such as Bitcoin. So, the Covid-19 health crisis significantly influences social media networks and Bitcoin prices." @default.
• W3180342893 created "2021-07-19" @default.
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• W3180342893 date "2021-07-01" @default.
• W3180342893 modified "2023-10-01" @default.
• W3180342893 title "A short-and long-term analysis of the nexus between Bitcoin, social media and Covid-19 outbreak" @default.
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• W3180342893 doi "https://doi.org/10.1016/j.heliyon.2021.e07539" @default.
• W3180342893 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8319576" @default.
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