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UTL Repository
Master thesis . 2023
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Dynamic connectedness between NFTS and market sentiment

Authors: Pinho, Ricardo Oliveira;

Dynamic connectedness between NFTS and market sentiment

Abstract

Neste estudo, eu investigo a conectividade dinâmica do retorno e da volatilidade entre os tokens não fungíveis (NFTs) e o sentimento do mercado de maio de 2018 a junho de 2022 usando um modelo de Autorregressão de Parâmetros Variáveis no Tempo (TVPVAR). Nesta investigação, eu descubro que certos segmentos de NFTs, como Art, Collectibles, Metaverse, Games e Utilities, são relativamente independentes do sentimento do mercado. Também descubro que os segmentos Collectibles e Games são os principais recetores do transbordo de volatilidade enquanto os restantes segmentos de NFTs considerados são principalmente transmissores. Essas descobertas fornecem conhecimentos particularmente importantes para investidores.

I study the dynamic return and volatility connectedness between Non-Fungible Tokens (NFTs) and Market Sentiment from May 2018 to June 2022 using a Time-Varying Parameter Vector Autoregression (TVP-VAR) model. I find that certain NFT segments, such as Art, Collectibles, Metaverse, Games, and Utilities, are relatively independent from the Market Sentiment. I also find that Collectibles and Games segments are the major net receivers of volatility spillover while the other considered NFT segments are mostly net shock transmitters. These findings provide potentially useful insights important for investors.

info:eu-repo/semantics/publishedVersion

Mestrado Bolonha em Finanças

Country
Portugal
Keywords

returns, Market Sentiment, Time-Varying Parameter Vector Autoregression, volatility, Non-Fungible Tokens, connectedness

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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