The Market Value of Non-Fungible Tokens

Detalhes bibliográficos
Autor(a) principal: Oliveira, André Antunes
Data de Publicação: 2023
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10362/160364
Resumo: Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
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spelling The Market Value of Non-Fungible TokensNon-fungible TokensBlockchainHedonic MethodMachine LearningSDG 8 - Decent work and economic growthSDG 9 - Industry, innovation and infrastructureSDG 12 - Responsible production and consumptionSDG 16 - Peace, justice and strong institutionsDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da InformaçãoDissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and ManagementPublic attention towards Non-fungible Tokens (NFTs) exploded in 2021, exceeding record sales of $2 billion, but little is known about this market. The novelty and speculation around digital tokens suggest that NFT valuation cannot be examined directly as an econometric system, but rather as a social phenomenon. Hence, this study focused on building an effective valuation framework for NFTs, using transactional data from a recognized generative art collection in this segment. As a result, this work has provided an inventory of machine learning modeling designs that outperform conventional assetpricing solutions on different benchmarks. Empirical results have shown the superior predictive power of state-of-the-art Machine Learning algorithms over hedonic regression methods when dealing with NFT pricing dynamics. In addition, the results have indicated that NFT pricing involves more complex valuations than traditional asset-pricing theory can endure, as the token prices are largely driven by convoluted variables such as rarity or popularity.Bravo, Jorge Miguel VenturaAntónio, Nuno Miguel da ConceiçãoRUNOliveira, André Antunes2023-10-262026-10-26T00:00:00Z2023-10-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10362/160364TID:203391438enginfo:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-11T05:43:01Zoai:run.unl.pt:10362/160364Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:58:00.123524Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv The Market Value of Non-Fungible Tokens
title The Market Value of Non-Fungible Tokens
spellingShingle The Market Value of Non-Fungible Tokens
Oliveira, André Antunes
Non-fungible Tokens
Blockchain
Hedonic Method
Machine Learning
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
SDG 16 - Peace, justice and strong institutions
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
title_short The Market Value of Non-Fungible Tokens
title_full The Market Value of Non-Fungible Tokens
title_fullStr The Market Value of Non-Fungible Tokens
title_full_unstemmed The Market Value of Non-Fungible Tokens
title_sort The Market Value of Non-Fungible Tokens
author Oliveira, André Antunes
author_facet Oliveira, André Antunes
author_role author
dc.contributor.none.fl_str_mv Bravo, Jorge Miguel Ventura
António, Nuno Miguel da Conceição
RUN
dc.contributor.author.fl_str_mv Oliveira, André Antunes
dc.subject.por.fl_str_mv Non-fungible Tokens
Blockchain
Hedonic Method
Machine Learning
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
SDG 16 - Peace, justice and strong institutions
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
topic Non-fungible Tokens
Blockchain
Hedonic Method
Machine Learning
SDG 8 - Decent work and economic growth
SDG 9 - Industry, innovation and infrastructure
SDG 12 - Responsible production and consumption
SDG 16 - Peace, justice and strong institutions
Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação
description Dissertation presented as the partial requirement for obtaining a Master's degree in Statistics and Information Management, specialization in Information Analysis and Management
publishDate 2023
dc.date.none.fl_str_mv 2023-10-26
2023-10-26T00:00:00Z
2026-10-26T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.identifier.uri.fl_str_mv http://hdl.handle.net/10362/160364
TID:203391438
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