In this study the cross-correlations between the cryptocurrency market represented by the two most liquid and highest-capitalized cryptocurrencies: bitcoin and ethereum, on the one side, and the instruments representing the traditional financial markets: stock indices, Forex, commodities, on the other side, are measured in the period: January 2020-October 2022. Our purpose is to address the question whether the cryptocurrency market still preserves its autonomy with respect to the traditional financial markets or it has already aligned with them in expense of its independence. We are motivated by the fact that some previous related studies gave mixed results. By calculating the -dependent detrended cross-correlation coefficient based on the high frequency 10 s data in the rolling window, the dependence on various time scales, different fluctuation magnitudes, and different market periods are examined. There is a strong indication that the dynamics of the bitcoin and ethereum price changes since the March 2020 COVID-19 panic is no longer independent. Instead, it is related to the dynamics of the traditional financial markets, which is especially evident now in 2022, when the bitcoin and ethereum coupling to the US tech stocks is observed during the market bear phase. It is also worth emphasizing that the cryptocurrencies have begun to react to the economic data such as the Consumer Price Index readings in a similar way as traditional instruments. Such a spontaneous coupling of the so far independent degrees of freedom can be interpreted as a kind of phase transition that resembles the collective phenomena typical for the complex systems. Our results indicate that the cryptocurrencies cannot be considered as a safe haven for the financial investments.
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http://dx.doi.org/10.3390/e25020377 | DOI Listing |
Heliyon
November 2024
Department of Computing Technologies and Data Analytics, Ezymart Corporation Pty Ltd, Sydney, Australia.
This paper examines gold and cryptocurrencies' hedge and safe-haven capabilities against various downturns, including the COVID-19 pandemic and Geopolitical Risks (GPR), across different market conditions. The study covers a sample period from 2013 to 2021 at a daily frequency, employing the GARCH model and quantile regression with binary variables. The empirical results indicate that neither gold nor cryptocurrencies can act as strong hedges against infectious disease pandemics.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Business, Lebanese American University, Lebanon; Korea University Business School, Seoul, South Korea. Electronic address:
This study examines the multifaceted return interdependence between green bonds and various assets and markets (conventional bonds, Islamic and conventional stocks, Bitcoin, Ethereum, crude oil, and gold), covering various market conditions. Daily data are from January 11, 2016 to February 12, 2024, and the methods employed include quantile-on-quantile return connectedness (QQC), cross-quantilogram (CQ), and Granger causality in quantiles (GC), which allow us to make inferences about the safe-haven ability of green bonds. The QQC results establish that the connectedness at directly related quantiles is more pronounced than those of inversely related quantiles for all cases.
View Article and Find Full Text PDFSci Rep
November 2024
School of Electronic Engineering and Computer Science, Queen Mary University of London, London, E1 4NS, UK.
Distributed ledger technologies have opened up a wealth of fine-grained transaction data from cryptocurrencies like Bitcoin and Ethereum. This allows research into problems like anomaly detection, anti-money laundering, pattern mining and activity clustering (where data from traditional currencies is rarely available). The formalism of temporal networks offers a natural way of representing this data and offers access to a wealth of metrics and models.
View Article and Find Full Text PDFBMC Res Notes
October 2024
Department of Computer Engineering, Yazd University, Yazd, Iran.
Objectives: With the expansion of social networks such as Twitter, many experts share their opinions on various topics. The opinions of experts, who are also known as influencers, can be very influential. Combining these tweets and the historical prices of cryptocurrencies makes it possible to predict their price trends accurately.
View Article and Find Full Text PDFJ Environ Manage
October 2024
University of Western Australia Business School, Australia; Digital Finance Co-Operative Research Centre, Australia. Electronic address:
This paper analyses the transition of Ethereum (ETH) from the energy-intensive Proof-of-Work (PoW) to the less energy-intensive Proof-of-Stake (PoS). We analyze returns, volatility, return correlations and volume of ETH, ETC and Bitcoin for all events in the lead-up to the actual change from PoW to PoS also labelled "the merge." The analysis suggests that some investors value the less energy-intensive mining mechanism and invest in ETH.
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