IDEAS home Printed from https://ideas.repec.org/r/eee/finlet/v50y2022ics1544612322003889.html

The relationship between trading volume, volatility and returns of Non-Fungible Tokens: evidence from a quantile approach

Citations

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


Cited by:

  1. Yousaf, Imran & Yarovaya, Larisa, 2022. "Herding behavior in conventional cryptocurrency market, non-fungible tokens, and DeFi assets," Finance Research Letters, Elsevier, vol. 50(C).
  2. Jenni, Matthew & Schadner, Wolfgang & Angerer, Martin, 2025. "Hard forks, hard questions: Unraveling the microstructure effects on Bitcoin’s return, volume, and volatility," Economics Letters, Elsevier, vol. 257(C).
  3. Urom, Christian & Ndubuisi, Gideon & Guesmi, Khaled, 2024. "Global macroeconomic factors and the connectedness among NFTs and (un)conventional assets," Research in International Business and Finance, Elsevier, vol. 71(C).
  4. Yousaf, Imran & Abrar, Afsheen & Yousaf, Umair Bin & Goodell, John W., 2024. "Environmental attention and uncertainties of cryptocurrency market: Examining linkages with crypto-mining stocks," Finance Research Letters, Elsevier, vol. 59(C).
  5. Thanasis Stengos & Theodore Panagiotidis & Georgios Papapanagiotou, 2025. "On the time-varying causal relationships that drive bitcoin returns," Working Papers 2501, University of Guelph, Department of Economics and Finance.
  6. Jareño, Francisco & Yousaf, Imran, 2023. "Artificial intelligence-based tokens: Fresh evidence of connectedness with artificial intelligence-based equities," International Review of Financial Analysis, Elsevier, vol. 89(C).
  7. Gebka, Bartosz, 2025. "Explaining the causality between trading volume and stock returns: What drives its cross-quantile patterns?," Economic Modelling, Elsevier, vol. 148(C).
  8. Benedetti, Hugo & Rodríguez-Garnica, Gabriel, 2025. "Does what happens on-chain stays on-chain? The dynamics of blockchain token transactions and prices," Journal of International Money and Finance, Elsevier, vol. 158(C).
  9. 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.
  10. Dhoha Mellouli & Imen Zoglami, 2024. "The Dynamics of Connectivity between Traditional Cryptocurrencies and NFTs: Validation of the Connectivity Model by Quantiles and Frequencies," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 131-154.
  11. 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).
  12. Yousaf, Imran & Gubareva, Mariya & Teplova, Tamara, 2023. "Connectedness of non-fungible tokens and conventional cryptocurrencies with metals," The North American Journal of Economics and Finance, Elsevier, vol. 68(C).
  13. Wang, Zhan & Gao, Xiang & Gu, Jiahao, 2025. "Can cryptocurrencies improve portfolio diversification? Evidence from the prospect risk perspective," Research in International Business and Finance, Elsevier, vol. 76(C).
  14. Billah, Mabruk & Enamul Hoque, Mohammad & Hadhri, Sinda & Do, Hung Xuan, 2025. "Tail risk connectedness between DeFi and Islamic assets and their determinants," International Review of Economics & Finance, Elsevier, vol. 97(C).
  15. Chen, Muying & Wang, Shouyang & Wei, Yunjie, 2025. "Fragility of TRUMP and MELANIA coins," Finance Research Letters, Elsevier, vol. 85(PD).
  16. Izunna Anyikwa & Andrew Phiri, 2023. "Connectedness and spillover between African equity, commodity, foreign exchange and cryptocurrency markets during the COVID-19 and Russia-Ukraine conflict," Future Business Journal, Springer, vol. 9(1), pages 1-18, December.
  17. 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).
  18. Andrea Barbon & Angelo Ranaldo, 2023. "NFT Bubbles," Swiss Finance Institute Research Paper Series 23-20, Swiss Finance Institute.
  19. Hodula, Martin, 2023. "Fintech credit, big tech credit and income inequality," Finance Research Letters, Elsevier, vol. 51(C).
  20. Yousaf, Imran & Abrar, Afsheen & Goodell, John W., 2023. "Connectedness between travel & tourism tokens, tourism equity, and other assets," Finance Research Letters, Elsevier, vol. 53(C).
  21. Imran Yousaf & Manel Youssef & Mariya Gubareva, 2025. "Return and Volatility Spillovers Between Non-fungible Tokens and Conventional Currencies: Evidence from the TVP–VAR Model," Springer Books, in: Gang Kou & Yongqiang Li & Zongyi Zhang & J. Leon Zhao & Zhi Zhuo (ed.), Blockchain, Crypto Assets, and Financial Innovation, pages 326-351, Springer.
  22. Nasir, Rana Muhammad & He, Feng & Asadi, Mehrad & Roubaud, David, 2026. "Spillover and return connectedness between uncertainties, digital assets, green bond, green and traditional energy markets: Evidence from quantile VAR," The North American Journal of Economics and Finance, Elsevier, vol. 81(C).
  23. Dhingra, Barkha & Saini, Mohit & Yadav, Mahender & Kumar, Gaurav & Kumar, Pankaj, 2025. "Exploring global financial interdependencies among ASEAN-5, major developed and developing markets," The Journal of Economic Asymmetries, Elsevier, vol. 31(C).
  24. Abakah, Emmanuel Joel Aikins & Hossain, Sahib & Abdullah, Mohammad & Goodell, John W., 2024. "Global uncertainty factors and price connectedness between US electricity and blockchain markets: Findings from an R-square connectedness approach," Finance Research Letters, Elsevier, vol. 59(C).
  25. Yousaf, Imran & Jareño, Francisco & Martínez-Serna, María-Isabel, 2023. "Extreme spillovers between insurance tokens and insurance stocks: Evidence from the quantile connectedness approach," Journal of Behavioral and Experimental Finance, Elsevier, vol. 39(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.