The financial markets are undergoing rapid transformations that raise fundamental questions about the effectiveness of traditional investment models and strategies. Nowadays, investment options are incomparably wider than ever before, and one of the areas of this global financial transformation is alternative investments, so the question is what might be the trends of one of these alternative investments, non-fungible tokens (NFT). The object of the study is alternative investments, such as NFTs. The article intends to reveal how NFTs might impact the valuation and trade of digital assets, as well as to identify the key advantages and risks associated with NFTs for investors and creators. The research will carry out cluster analysis of NFTs, which will help to better understand the NFT market, learn about possible prospects and developments, possible advantages and disadvantages, as well as the level of risk.
Author:
Iljinaitė Marija1ORCID, Maknickienė Nijolė1ORCID
Affiliation:
1. Department of Financial Engineering, Faculty of Business Management, Vilnius Gediminas Technical University, Saulėtekio av. 11, 10221 Vilnius, Lithuania
Abstract
The financial markets are undergoing rapid transformations that raise fundamental questions about the effectiveness of traditional investment models and strategies. Nowadays, investment options are incomparably wider than ever before, and one of the areas of this global financial transformation is alternative investments, so the question is what might be the trends of one of these alternative investments, non-fungible tokens (NFT). The object of the study is alternative investments, such as NFTs. The article intends to reveal how NFTs might impact the valuation and trade of digital assets, as well as to identify the key advantages and risks associated with NFTs for investors and creators. The research will carry out cluster analysis of NFTs, which will help to better understand the NFT market, learn about possible prospects and developments, possible advantages and disadvantages, as well as the level of risk.
Publisher
Vilnius Gediminas Technical University
Reference26 articles.
1. Alizadeh, S., Setayesh, A., Mohamadpour, A., & Bahrak, B. (2023). A network analysis of the non-fungible token (NFT) market: Structural characteristics, evolution, and interactions. Applied Network Science, 8(1). https://doi.org/10.1007/s41109-023-00565-4 2. Babel, M., Gramlich, V., Körner, M. F., Sedlmeir, J., Strüker, J., & Zwede, T. (2022). Enabling end-to-end digital carbon emission tracing with shielded NFTs. Energy Informatics, 5. https://doi.org/10.1186/s42162-022-00199-3 3. Bao, T., Ma, M., & Wen, Y. (2023). Herding in the non-fungible token (NFT) market. Journal of Behavioral and Experimental Finance, 39, Article 100837. https://doi.org/10.1016/j.jbef.2023.100837 4. Faqir-Rhazoui, Y., Arroyo, J., & Hassan, S. (2021). A comparative analysis of the platforms for decentralized autonomous organizations in the Ethereum blockchain. Journal of Internet Services and Applications, 12(1), Article 9. https://doi.org/10.1186/s13174-021-00139-6 5. Flick, D. C. (2022). A critical professional ethical analysis of Non-Fungible Tokens (NFTs). Journal of Responsible Technology, 12, Article 100054. https://doi.org/10.1016/j.jrt.2022.100054
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