The Market Value of Non-Fungible Tokens
Autor(a) principal: | |
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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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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 |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10362/160364 TID:203391438 |
url |
http://hdl.handle.net/10362/160364 |
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TID:203391438 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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embargoedAccess |
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application/pdf |
dc.source.none.fl_str_mv |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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