Dynamic Efficiency and Herd Behavior During Pre- and Post-COVID-19 in the NFT Market: Evidence from Multifractal Analysis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Economics, Econometrics and Finance (miscellaneous)
Link
https://link.springer.com/content/pdf/10.1007/s10614-023-10522-z.pdf
Reference48 articles.
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2. Anselmi, G., & Petrella, G. (2023). Non-fungible token artworks: More crypto than art? Finance Research Letters, 51, 103473.
3. Aslam, F., Aziz, S., Nguyen, D. K., Mughal, K. S., & Khan, M. (2020a). On the efficiency of foreign exchange markets in times of the COVID-19 pandemic. Technological Forecasting and Social Change, 161, 120261.
4. Aslam, F., Mohti, W., & Ferreira, P. (2020b). Evidence of intraday multifractality in European stock markets during the recent coronavirus (COVID-19) outbreak. International Journal of Financial Studies, 8, 31.
5. Assaf, A., Bhandari, A., Charif, H., & Demir, E. (2022). Multivariate long memory structure in the cryptocurrency market: The impact of COVID-19. International Review of Financial Analysis, 82, 102132.
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