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Jamal Bouoiyour, Refk Selmi, Aviral Kumar Tiwari and Olaolu Richard Olayeni |
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''What drives Bitcoin price?'' |
( 2016, Vol. 36 No.2 ) |
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The cryptocurrencies increased in popularity and have become nowadays well known to a wide audience. This article seeks to assess the issue of Bitcoin price formation from a novel perspective. We use a new technique called Empirical Mode Decomposition (EMD) with which a complicated data set can be disentangled into a small number of independent and concretely implicational intrinsic modes that admit well-behaved Hilbert transforms. Even though Bitcoin is usually labelled as a purely speculative asset, EMD views that it is extremely driven by long-term fundamentals (above one year). |
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Keywords: Bitcoin price, drivers, Empirical Mode Decomposition. |
JEL: F3 - International Finance: General E3 - Prices, Business Fluctuations, and Cycles: General (includes Measurement and Data) |
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Manuscript Received : Apr 12 2016 | | Manuscript Accepted : May 18 2016 |
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