Investigation of Dogecoin Price Movements: A GSADF Analysis
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- Shen, Dehua & Urquhart, Andrew & Wang, Pengfei, 2019. "Does twitter predict Bitcoin?," Economics Letters, Elsevier, vol. 174(C), pages 118-122.
- Philippas, Dionisis & Rjiba, Hatem & Guesmi, Khaled & Goutte, Stéphane, 2019.
"Media attention and Bitcoin prices,"
Finance Research Letters, Elsevier, vol. 30(C), pages 37-43.
- Dionisis Philippas & Hatem Rjiba & Khaled Guesmi & Stéphane Goutte, 2019. "Media attention and Bitcoin prices," Post-Print halshs-02148912, HAL.
- Choi, Hyungeun, 2021. "Investor attention and bitcoin liquidity: Evidence from bitcoin tweets," Finance Research Letters, Elsevier, vol. 39(C).
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More about this item
Keywords
Dodgecoin; Tweets; GSADF;All these keywords.
JEL classification:
- G0 - Financial Economics - - General
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BAN-2022-01-10 (Banking)
- NEP-PAY-2022-01-10 (Payment Systems and Financial Technology)
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