We test for the existence of bubbles in conventional and DeFi-focused cryptocurrencies,
seeking to identify key driving forces that distinguish DeFi tokens from conventional …

We explore the domain of FinTech, DeFi, and NFT market relationships considering investor
attention. Using frequency connectedness analysis, we employ two different investor …

This paper investigates the existence of speculative bubbles in four crypto-market
components (Bitcoin, Ethereum, CRIX index, DeFi pulse index) while date-stamping them …

This study investigates the risk and returns on one of the newest digital asset classes
instruments, non-fungible tokens (NFTs), by accounting for tail dependence of higher-order …

The aim of this chapter is to provide a brief but substantive history of non-fungible tokens
(NFTs) through a thematic approach. It identifies four key themes that have played a …

Purpose The primary objective of this research is to provide a precise interpretation of the
constructed machine learning model and produce definitive summaries that can evaluate …

The present paper explores factors determining trading activity for a highly distinctive class
of crypto assets: nonfungible tokens (NFTs). The prevalence of retail investors in the NFT …

This study aims to investigate the role of investor sentiment in the emerging metaverse
market, a novel entrepreneurship model. Empirical analyses are conducted through various …

Non-fungible tokens (NFTs) represent unique cryptocurrency tokens created on a chain of
digital credentials and can be used for distribution, purchase and collection. Blockchain …

We assess whether the CNN “Fear and Greed” Index can be used to predict returns on
equity indices and gold. Using static tests, we find that the Fear and Greed Index Granger …