Intraday downward/upward multifractality and long memory in Bitcoin and Ethereum markets: an asymmetric multifractal detrended fluctuation analysis
buir.contributor.author | Şensoy, Ahmet | |
dc.citation.epage | 25 | en_US |
dc.citation.spage | 19 | en_US |
dc.citation.volumeNumber | 31 | en_US |
dc.contributor.author | Mensi, W. | en_US |
dc.contributor.author | Lee, Y. -J. | en_US |
dc.contributor.author | Al-Yahyaee, K. | en_US |
dc.contributor.author | Şensoy, Ahmet | en_US |
dc.contributor.author | Yoon, S. -M. | en_US |
dc.date.accessioned | 2020-01-31T18:53:27Z | |
dc.date.available | 2020-01-31T18:53:27Z | |
dc.date.issued | 2019 | |
dc.department | Department of Management | en_US |
dc.description.abstract | This study examines high-frequency asymmetric multifractality, long memory, and weak-form efficiency for two major cryptocurrencies, namely, Bitcoin (BTC) and Ethereum (ETH), using the asymmetric multifractal detrended fluctuation analysis method to consider different market patterns. Our results show evidence of structural breaks and asymmetric multifractality. Moreover, the multifractality gap between the uptrend and downtrend is small when the time scale is small, and it increases as the time scale increases. The BTC market is more inefficient than ETH. The inefficiency is more (less) accentuated when the market follows a downward (upward) movement. The efficiency level varies based on each subperiod. | en_US |
dc.description.provenance | Submitted by Onur Emek (onur.emek@bilkent.edu.tr) on 2020-01-31T18:53:27Z No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5) | en |
dc.description.provenance | Made available in DSpace on 2020-01-31T18:53:27Z (GMT). No. of bitstreams: 1 Bilkent-research-paper.pdf: 268963 bytes, checksum: ad2e3a30c8172b573b9662390ed2d3cf (MD5) Previous issue date: 2019 | en |
dc.embargo.release | 2021-12-01 | |
dc.identifier.doi | 10.1016/j.frl.2019.03.029 | en_US |
dc.identifier.issn | 1544-6123 | |
dc.identifier.uri | http://hdl.handle.net/11693/52971 | |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.isversionof | https://dx.doi.org/10.1016/j.frl.2019.03.029 | en_US |
dc.source.title | Finance Research Letters | en_US |
dc.subject | High-frequency trading | en_US |
dc.subject | Bitcoin | en_US |
dc.subject | Ethereum | en_US |
dc.subject | Efficient market hypothesis | en_US |
dc.subject | Asymmetric MF-DFA method | en_US |
dc.subject | Generalized Hurst exponent | en_US |
dc.title | Intraday downward/upward multifractality and long memory in Bitcoin and Ethereum markets: an asymmetric multifractal detrended fluctuation analysis | en_US |
dc.type | Article | en_US |
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