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Effect of twitter investor engagement on cryptocurrencies during the COVID-19 pandemic

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25410%2F23%3A39920760" target="_blank" >RIV/00216275:25410/23:39920760 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0275531922002367" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0275531922002367</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.ribaf.2022.101850" target="_blank" >10.1016/j.ribaf.2022.101850</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Effect of twitter investor engagement on cryptocurrencies during the COVID-19 pandemic

  • Original language description

    This study aims to examine whether the prices and returns of two cryptocurrencies, Dogecoin and Ethereum, are affected by Twitter engagement following the COVID-19 pandemic. We use the autoregressive integrated moving average with explanatory variables model to integrate the effects of investor attention and engagement on Dogecoin and Ethereum returns using data from December 31, 2020, to May 12, 2021. The results provide evidence supporting the hypothesis of a strong effect of Twitter investor engagement on Dogecoin returns; however, no potential impact is identified for Ethereum. These findings add to the growing evidence regarding the effect of social media on the cryptocurrency market and have useful implications for investors and corporate investment managers concerning investment decisions and trading strategies.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50206 - Finance

Result continuities

  • Project

    <a href="/en/project/GA22-22586S" target="_blank" >GA22-22586S: Aspect-based sentiment analysis of financial texts for predicting corporate financial performance</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Research in International Business and Finance

  • ISSN

    0275-5319

  • e-ISSN

    1878-3384

  • Volume of the periodical

    64

  • Issue of the periodical within the volume

    January

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    13

  • Pages from-to

    101850

  • UT code for WoS article

    000913247800001

  • EID of the result in the Scopus database

    2-s2.0-85145603310