Impact of Public Information Arrivals on Cryptocurrency Market: A Case of Twitter Posts on Ripple

Samet Gunay

East Asian Economic Review, 2019, vol. 23, issue 2, 149-168

Abstract: Public information arrivals and their immediate incorporation in asset price is a key component of semi-strong form of the Efficient Market Hypothesis. In this study, we explore the impact of public information arrivals on cryptocurrency market via Twitter posts. The empirical analysis was conducted through various methods including Kapetanios unit root test, Maki cointegration analysis and Markov regime switching regression analysis. Results indicate that while in bull market positive public information arrivals have a positive influence on Ripple’s value; in bear market, however, even if the company releases good news, it does not divert out the Ripple from downward trend.

Keywords: Cryptocurrency; Public Information Arrivals; Semi-Strong Efficiency; Ripple; Twitter Posts (search for similar items in EconPapers)
JEL-codes: G14 G15 G40 G41 (search for similar items in EconPapers)
Date: 2019
References: Add references at CitEc
Citations: View citations in EconPapers (10)

Downloads: (external link)
http://dx.doi.org/10.11644/KIEP.EAER.2019.23.2.359 Full text (application/pdf)

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:ris:eaerev:0359

Access Statistics for this article

East Asian Economic Review is currently edited by JE Lee

More articles in East Asian Economic Review from Korea Institute for International Economic Policy [30147] 3rd Floor Building C Sejong National Research Complex 370 Sicheong-daero Sejong-si, Korea. Contact information at EDIRC.
Bibliographic data for series maintained by JE Lee (eaer@kiep.go.kr).