IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v55y2023ipbs1544612323003410.html
   My bibliography  Save this article

Practicable optimization for portfolios that contain nonfungible tokens

Author

Listed:
  • Menvouta, Emmanuel Jordy
  • Serneels, Sven
  • Verdonck, Tim

Abstract

Non-fungible tokens (NFT) constitute a novel asset class that has the potential to diversify portfolios. Scant research supports that hypothesis at a collection level, yet it remains an open question how to leverage the potential in practice. Owing to their non-fungible nature, liquidity of the asset that leads to a mathematically optimal portfolio does not always exist. This letter introduces a practicable portfolio optimization strategy for NFTs based on machine learning, more specifically robust hierarchical risk parity. When applied to portfolios that contain high valued NFT collections, the latter’s inclusion into the portfolio is shown to improve overall portfolio return.

Suggested Citation

  • Menvouta, Emmanuel Jordy & Serneels, Sven & Verdonck, Tim, 2023. "Practicable optimization for portfolios that contain nonfungible tokens," Finance Research Letters, Elsevier, vol. 55(PB).
    • Handle: RePEc:eee:finlet:v:55:y:2023:i:pb:s1544612323003410
    DOI: 10.1016/j.frl.2023.103969
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612323003410
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.frl.2023.103969?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Platanakis, Emmanouil & Urquhart, Andrew, 2019. "Portfolio management with cryptocurrencies: The role of estimation risk," Economics Letters, Elsevier, vol. 177(C), pages 76-80.
    2. Umar, Zaghum & Polat, Onur & Choi, Sun-Yong & Teplova, Tamara, 2022. "Dynamic connectedness between non-fungible tokens, decentralized finance, and conventional financial assets in a time-frequency framework," Pacific-Basin Finance Journal, Elsevier, vol. 76(C).
    3. Xia, Yufei & Li, Jinglong & Fu, Yating, 2022. "Are non-fungible tokens (NFTs) different asset classes? Evidence from quantile connectedness approach," Finance Research Letters, Elsevier, vol. 49(C).
    4. Dowling, Michael, 2022. "Fertile LAND: Pricing non-fungible tokens," Finance Research Letters, Elsevier, vol. 44(C).
    5. Howard Zhong & Mark Hamilton, 2023. "Exploring Gender and Race Biases in the NFT Market," Papers 2304.06484, arXiv.org.
    6. Dowling, Michael, 2022. "Is non-fungible token pricing driven by cryptocurrencies?," Finance Research Letters, Elsevier, vol. 44(C).
    7. Ko, Hyungjin & Son, Bumho & Lee, Yunyoung & Jang, Huisu & Lee, Jaewook, 2022. "The economic value of NFT: Evidence from a portfolio analysis using mean–variance framework," Finance Research Letters, Elsevier, vol. 47(PA).
    8. Umar, Zaghum & Alwahedi, Wafa & Zaremba, Adam & Vo, Xuan Vinh, 2022. "Return and volatility connectedness of the non-fungible tokens segments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 35(C).
    9. Serneels, Sven, 2023. "Detecting wash trading for nonfungible tokens," Finance Research Letters, Elsevier, vol. 52(C).
    10. Zhong, Howard & Hamilton, Mark, 2023. "Exploring gender and race biases in the NFT market," Finance Research Letters, Elsevier, vol. 53(C).
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Liu, Jiatong & Zhu, You & Wang, Gang-Jin & Xie, Chi & Wang, Qilin, 2024. "Risk contagion of NFT: A time-frequency risk spillover perspective in the Carbon-NFT-Stock system," Finance Research Letters, Elsevier, vol. 59(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Proelss, Juliane & Sévigny, Stéphane & Schweizer, Denis, 2023. "GameFi: The perfect symbiosis of blockchain, tokens, DeFi, and NFTs?," International Review of Financial Analysis, Elsevier, vol. 90(C).
    2. Ho, Kin-Hon & Law, Monica & Hou, Yun & Chan, Tse-Tin, 2024. "Spillover analysis on NFTs, NFT-affiliated tokens and NFT submarkets," Finance Research Letters, Elsevier, vol. 60(C).
    3. Zhang, Wenting & Liu, Tiantian & Zhang, Yulian & Hamori, Shigeyuki, 2024. "Can NFTs hedge the risk of traditional assets after the COVID-19 pandemic?," The North American Journal of Economics and Finance, Elsevier, vol. 72(C).
    4. Zhang, Z. John, 2023. "Cryptopricing: Whence comes the value for cryptocurrencies and NFTs?," International Journal of Research in Marketing, Elsevier, vol. 40(1), pages 22-29.
    5. Umar, Zaghum & Usman, Muhammad & Choi, Sun-Yong & Rice, John, 2023. "Diversification benefits of NFTs for conventional asset investors: Evidence from CoVaR with higher moments and optimal hedge ratios," Research in International Business and Finance, Elsevier, vol. 65(C).
    6. Goodell, John W. & Yadav, Miklesh Prasad & Ruan, Junhu & Abedin, Mohammad Zoynul & Malhotra, Nidhi, 2023. "Traditional assets, digital assets and renewable energy: Investigating connectedness during COVID-19 and the Russia-Ukraine war," Finance Research Letters, Elsevier, vol. 58(PA).
    7. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled, 2022. "Dynamic dependence and predictability between volume and return of Non-Fungible Tokens (NFTs): The roles of market factors and geopolitical risks," Finance Research Letters, Elsevier, vol. 50(C).
    8. Nobanee, Haitham & Ellili, Nejla Ould Daoud, 2023. "Non-fungible tokens (NFTs): A bibliometric and systematic review, current streams, developments, and directions for future research," International Review of Economics & Finance, Elsevier, vol. 84(C), pages 460-473.
    9. Fakhfekh, Mohamed & Bejaoui, Azza & Bariviera, Aurelio F. & Jeribi, Ahmed, 2024. "Dependence structure between NFT, DeFi and cryptocurrencies in turbulent times: An Archimax copula approach," The North American Journal of Economics and Finance, Elsevier, vol. 70(C).
    10. Nakavachara, Voraprapa & Saengchote, Kanis, 2022. "Does unit of account affect willingness to pay? Evidence from metaverse LAND transactions✰," Finance Research Letters, Elsevier, vol. 49(C).
    11. Kumar, Anoop S & Padakandla, Steven Raj, 2023. "Do NFTs act as a good hedge and safe haven against Cryptocurrency fluctuations?," Finance Research Letters, Elsevier, vol. 56(C).
    12. Gunay, Samet & Goodell, John W. & Muhammed, Shahnawaz & Kirimhan, Destan, 2023. "Frequency connectedness between FinTech, NFT and DeFi: Considering linkages to investor sentiment," International Review of Financial Analysis, Elsevier, vol. 90(C).
    13. Simona Andreea Apostu & Mirela Panait & Làszló Vasa & Constanta Mihaescu & Zbyslaw Dobrowolski, 2022. "NFTs and Cryptocurrencies—The Metamorphosis of the Economy under the Sign of Blockchain: A Time Series Approach," Mathematics, MDPI, vol. 10(17), pages 1-13, September.
    14. Wang, Jying-Nan & Lee, Yen-Hsien & Liu, Hung-Chun & Hsu, Yuan-Teng, 2023. "Dissecting returns of non-fungible tokens (NFTs): Evidence from CryptoPunks," The North American Journal of Economics and Finance, Elsevier, vol. 65(C).
    15. Chowdhury, Mohammad Ashraful Ferdous & Abdullah, Mohammad & Alam, Masud & Abedin, Mohammad Zoynul & Shi, Baofeng, 2023. "NFTs, DeFi, and other assets efficiency and volatility dynamics: An asymmetric multifractality analysis," International Review of Financial Analysis, Elsevier, vol. 87(C).
    16. Xia, Yufei & Li, Jinglong & Fu, Yating, 2022. "Are non-fungible tokens (NFTs) different asset classes? Evidence from quantile connectedness approach," Finance Research Letters, Elsevier, vol. 49(C).
    17. Urom, C. & Ndubuisi, Gideon & Guesmi, K., 2022. "Quantile return and volatility connectedness among Non-Fungible Tokens (NFTs) and (un)conventional asset," MERIT Working Papers 2022-017, United Nations University - Maastricht Economic and Social Research Institute on Innovation and Technology (MERIT).
    18. Choi, Jaeseo, 2024. "A Study on the Applicability of NFT in the Entertainment Industry: Application of the Means-end Chain analysis and Laddering," 24th ITS Biennial Conference, Seoul 2024. New bottles for new wine: digital transformation demands new policies and strategies 302456, International Telecommunications Society (ITS).
    19. Onur Özdemir & Anoop S. Kumar, 2024. "Dynamic Efficiency and Herd Behavior During Pre- and Post-COVID-19 in the NFT Market: Evidence from Multifractal Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 63(3), pages 1255-1279, March.
    20. Abakah, Emmanuel Joel Aikins & Wali Ullah, G M & Abdullah, Mohammad & Lee, Chi-Chuan & Sulong, Zunaidah, 2024. "Correlation structure between fiat currencies and blockchain assets," Finance Research Letters, Elsevier, vol. 62(PA).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:finlet:v:55:y:2023:i:pb:s1544612323003410. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/frl .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.