What drives volatility in Bitcoin market?
Dimitrios Bakas,
Georgios Magkonis and
Eun Young Oh
Finance Research Letters, 2022, vol. 50, issue C
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 circulation of Bitcoins, US consumer confidence and the S&P500 index.
Keywords: Bitcoin; Cryptocurrency markets; Volatility; Dynamic model averaging (search for similar items in EconPapers)
JEL-codes: C11 C51 G12 G15 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S1544612322004378
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:50:y:2022:i:c:s1544612322004378
DOI: 10.1016/j.frl.2022.103237
Access Statistics for this article
Finance Research Letters is currently edited by R. Gençay
More articles in Finance Research Letters from Elsevier
Bibliographic data for series maintained by Catherine Liu ().