The cryptocurrency market: A network analysis [PDF]
Carlos Jaureguizr Francés
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Unit Root Tests for Explosive Financial Bubbles in the Presence of Deterministic Level Shifts
ABSTRACT This article considers the issue of testing for an explosive bubble in financial time series in the presence of deterministic level shifts. We demonstrate that the sign‐based variants of the Phillips‐Shi‐Yu test retain their asymptotic validity in the presence of level shifts under a weak restriction on the number of shifts that occur. This is
David I. Harvey+3 more
wiley +1 more source
A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction. [PDF]
Tiwari D+5 more
europepmc +1 more source
The Nexus Between Bitcoin and CO2 Emissions
ABSTRACT This research examined the connection between Bitcoin, the prominent and extensively mined cryptocurrency, and CO2 emissions using the SVAR model. Azerbaijan, Kazakhstan, and Russia, the three main countries in the Caspian Basin that are the centre of cryptocurrency mining, were examined in terms of their primary industries.
Emre Ünal, Nezir Köse
wiley +1 more source
The dynamic connectedness among infectious diseases, geopolitical risks, cryptocurrency, and commodity markets: Evidence from a partial and multiple wavelet analysis. [PDF]
Ben Ameur H, Jamaani F, Abu Alfoul MN.
europepmc +1 more source
ABSTRACT This study examined how Bitcoin, energy prices, and geopolitical risk interact by examining the first four moments (mean, variance, skewness, and kurtosis) of their return distributions by using wavelet analysis. The findings reveal that the co‐movement patterns of energy index, geopolitical risk index, and Bitcoin prices are time and ...
Pooja Kumari+4 more
wiley +1 more source
Graph convolution network for fraud detection in bitcoin transactions. [PDF]
Asiri A, Somasundaram K.
europepmc +1 more source
Current trends, concerns and peculiarities of the turnover of cryptocurrency
R. LUKIANCHUK+2 more
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AI and the Future of Disputing: Naming, Blaming, Claiming, and Preventing
ABSTRACT This paper explores the transformative impact of artificial intelligence (AI) on dispute resolution mechanisms. Our analysis builds on the longstanding framework for explaining the stages through which disputes evolve: the “naming, blaming, claiming” model by Felstiner, Abel, and Sarat (1981).
Ethan Katsh+2 more
wiley +1 more source
Cryptocurrency Trading and Associated Mental Health Factors: A Scoping Review. [PDF]
Jain L+5 more
europepmc +1 more source