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A multi-criteria approach to rating Metaverse games

Dados Bibliográficos

ID22361014
AutoresJalal SEİFODDİNİ (0000-0002-3956-0254, Islamic Azad University, Tehran, autor correspondente)
Ano2022
Volume2
Fascículo2
Páginas42-55
Data de publicação2022-12-31
Open AccessSim
TipoARTICLE
PeriódicoJournal of Metaverse (JOURNAL)
Identificadores do periódicoISSN: 2792-0232 • E-ISSN: 2792-0232
EditoraIzmir Akademi Dernegi (PUBLISHER)
DOI10.57019/jmv.1053778
OpenAlexW4312095931
IdiomaEN
Citações recebidas1
Referências citadas46

Non-Fungible Tokens (NFTs) took the already profitable gaming industry to a whole new level. Before that, people would pay to buy games, and there were also some in-game purchases. But now every item in games is an NFT, and different NFTs have different prices. A lot of users consider NFT metaverse games an investment opportunity. Therefore, it is vital to evaluate these metaverse games and rate them to find the most attractive investment opportunities. In this paper, we develop a framework for rating NFT metaverse games by considering their various risks and potential upsides through the PROMETHEE II method. Specially, we design a flip ratio that can take into account both the opportunity to flip another cryptocurrency and the risk of being flipped by another cryptocurrency. Our new flip ratio could be a very useful measure of risk-opportunity analysis. We also analyze the crash risk of NFT game tokens' prices through a non-parametric value at risk analysis, which is compatible with the volatile nature of cryptocurrency prices

Coin flipping · Computer security · Cryptocurrency · Data mining · Metaverse · Seekers · Statistics · Virtual reality · Blockchain Technology Applications and Security · Computer Science · Mathematics · Artificial Intelligence

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Citações por ano1
Intervalo de citações2026 - 2026 (1)
Altamente citadoNão

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