Don't miss out on NFTs?! A sentiment-based analysis of the early NFT market
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43110%2F23%3A43923742" target="_blank" >RIV/62156489:43110/23:43923742 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.iref.2023.07.016" target="_blank" >https://doi.org/10.1016/j.iref.2023.07.016</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.iref.2023.07.016" target="_blank" >10.1016/j.iref.2023.07.016</a>
Alternative languages
Result language
angličtina
Original language name
Don't miss out on NFTs?! A sentiment-based analysis of the early NFT market
Original language description
This study investigates the impact of Twitter sentiment on the Non-Fungible Token (NFT) market. Using a dataset of over 5 million English-language tweets on NFTs, we calculate a daily sentiment index and link it to NFT sales and trading volume. Applying wavelet analysis and DCC-GJR-GARCH models, we analyze the NFT market, characterized by multiple bubbles and high volatility. The findings reveal Twitter's significance as a primary source of information for a broad audience. Moreover, the study contributes to the literature by examining the role of Twitter sentiment in the NFT market's development. Additionally, the study indicates weak links between established cryptocurrencies and the NFT market. Based on our findings, we recommend that traders and policymakers use social media activities to monitor new digital markets.
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/GA23-07983S" target="_blank" >GA23-07983S: Corporate social behavior and responses to CSR policies, institutions, and economic distress</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
International Review of Economics & Finance
ISSN
1059-0560
e-ISSN
1873-8036
Volume of the periodical
88
Issue of the periodical within the volume
November
Country of publishing house
US - UNITED STATES
Number of pages
16
Pages from-to
799-814
UT code for WoS article
001049657700001
EID of the result in the Scopus database
2-s2.0-85165600353