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How does price (in)efficiency influence cryptocurrency portfolios performance? : the role of multifractality

Salis, Eduardo Amorim Vilela de; Maciel, Leandro - In: Quantitative finance 23 (2023) 11, pp. 1637-1658

Persistent link: https://www.econbiz.de/10014419183

Influencers, inefficiency and fraud - The Bitcoin price discovery network under the microscope

Trimborn, Simon; Chen, Ying; Chen, Ray-Bing - In: CeNDEF working paper (2022) 5, pp. 1-62

Persistent link: https://www.econbiz.de/10014385055

Cryptocurrency market anomaly : the day-of-the-week-effect

Verma, Ruchita; Sharma, Dhanraj; Sam, Shiney - In: Finance India : the quarterly journal of Indian … 37 (2023) 1, pp. 301-316

Persistent link: https://www.econbiz.de/10014414313

Dynamic analysis of calendar anomalies in cryptocurrency markets : evidences of adaptive market hypothesis

López-Martín, Carmen - In: Spanish journal of finance & accounting : the official … 52 (2023) 4, pp. 559-592

Persistent link: https://www.econbiz.de/10014415952

Non-fungible token artworks : More crypto than art?

Anselmi, Giulio; Petrella, Giovanni - In: Finance research letters 51 (2023), pp. 1-11

Persistent link: https://www.econbiz.de/10014304815

The impact of transparent money flows : effects of stablecoin transfers on the returns and trading volume of Bitcoin

Ante, Lennart; Fiedler, Ingo; Strehle, Elias - In: Technological forecasting & social change : an … 170 (2021), pp. 1-16

Persistent link: https://www.econbiz.de/10012805996

Cryptocurrencies, gold, and WTI crude oil market efficiency : a dynamic analysis based on the adaptive market hypothesis

Mirzaee Ghazani, Majid; Jafari, Mohammad Ali - In: Financial innovation : FIN 7 (2021), pp. 1-26

This study examined the evolving oil market efficiency by applying daily historical data to the three benchmark cryptocurrencies (Bitcoin, Ethereum, and Ripple), gold, and West Texas Intermediate (WTI) crude oil. The data coverage of daily returns was from August 2015 to April 2019. We applied...

Persistent link: https://www.econbiz.de/10012510250

A new hybrid machine learning model for predicting the bitcoin (BTC-USD) price

Nagula, Pavan Kumar; Alexakis, Christos A. - In: Journal of behavioral and experimental finance 36 (2022), pp. 1-13

Persistent link: https://www.econbiz.de/10014227665

Blockchain currency markets

Ranaldo, Angelo; Viswanath-Natraj, Ganesh; Wang, Junxuan - 2024 - This version: April 18, 2024

Persistent link: https://www.econbiz.de/10014525439

Cryptocurrency : not far from equilibrium

Yi, Eojin; Ahn, Kwangwon; Choi, M. Y. - In: Technological forecasting & social change : an … 177 (2022), pp. 1-9

Persistent link: https://www.econbiz.de/10013345630