Cryptocurrency valuation and ethics: a text analytic approach
James Barth,
Hemantha S. B. Herath,
Tejaswini C. Herath and
Pei Xu
Journal of Management Analytics, 2020, vol. 7, issue 3, 367-388
Abstract:
A recent and potentially profound innovation is the creation of cryptocurrencies and the underlying technology that is essential for their use in various financial transactions. Given the anonymity of a user of a cryptocurrency, such digital currencies may be used for many different types of both lawful and illicit activities. The main purpose of this paper is to examine the extent to which ethical considerations associated with the use of cryptocurrencies affect the valuations attached to such currencies. The examination is based on a text analytic approach that involves measuring the extent to which ethical and unethical words are used in a discussion related to Bitcoin on Twitter to determine if there is a connection between ethics and cryptocurrency valuations. We find the frequency of an unethical discussion about Bitcoin is negatively associated with its price. In contrast, the frequency of an ethical discussion is positively associated with its price.
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/23270012.2020.1790046 (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:tjmaxx:v:7:y:2020:i:3:p:367-388
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/tjma20
DOI: 10.1080/23270012.2020.1790046
Access Statistics for this article
Journal of Management Analytics is currently edited by Li Xu
More articles in Journal of Management Analytics from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().