Bitcoin price jumps and investor sentiment indicators
Chi-Wei He and
Yung-Jang Wang
Applied Economics Letters, 2023, vol. 30, issue 18, 2626-2630
Abstract:
Bitcoin has attracted significant attention from investors over recent years. Due to infrequent jumps in Bitcoin prices, this paper employs the ARJI model of Chan and Maheu (2002) to describe jump risks of Bitcoin prices, and to examine the possible influencing factors of jump risks. Empirical results find that the jump component is the most important driving force of the volatility of Bitcoin returns, and that two investor sentiment indicators (the Bitcoin trading volumes and the number of Bitcoin unique addresses) are positive related to the jump risk of Bitcoin returns. These findings provide an important insight into the investment risk of Bitcoin prices.
Date: 2023
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/13504851.2022.2102122 (text/html)
Access to full text is restricted to subscribers.
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:taf:apeclt:v:30:y:2023:i:18:p:2626-2630
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/RAEL20
DOI: 10.1080/13504851.2022.2102122
Access Statistics for this article
Applied Economics Letters is currently edited by Anita Phillips
More articles in Applied Economics Letters from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().