Predicting the cryptocurrency market using social media metrics and search trends during COVID-19
Jian Mou,
Wenting Liu,
Chong Guan,
J. Christopher Westland and
Jongki Kim ()
Additional contact information
Jian Mou: Pusan National University
Wenting Liu: Singapore University of Social Sciences
Chong Guan: Singapore University of Social Sciences
J. Christopher Westland: University of Illinois - Chicago
Jongki Kim: Pusan National University
Electronic Commerce Research, 2024, vol. 24, issue 2, No 21, 1307-1333
Abstract:
Abstract Bitcoin is one of the most well-known cryptocurrencies worldwide. Recently, as the COVID-19 pandemic raged globally, a new wave of price volatility and interest in Bitcoin was witnessed. Identifying the roles played by different information sources in the emergence and diffusion of content through Internet resources can reveal the influential factors affecting cryptocurrencies’ value. This study aims to reveal the forces behind cryptocurrencies’ monetary value—the market price movements on major exchanges before, during, and post the March 2020, COVID-19 market crash. The daily prices of the two largest cryptocurrencies, Bitcoin and Ether, were obtained from CoinDesk. By integrating Google Trends data, we found that Google searches increase when the number of tweets on COVID-19 soars, with a one-period lag (one day). Furthermore, search trends have a significant impact on cryptocurrencies’ future returns such that increased (decreased) searches for a negative event indicate lower (higher) future cryptocurrency prices.
Keywords: Cryptocurrency; COVID-19; Social media; Search trends (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10660-023-09801-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:elcore:v:24:y:2024:i:2:d:10.1007_s10660-023-09801-6
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660
DOI: 10.1007/s10660-023-09801-6
Access Statistics for this article
Electronic Commerce Research is currently edited by James Westland
More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().