Results 121 to 130 of about 1,129 (189)

Herding unmasked: Insights into cryptocurrencies, stocks and US ETFs. [PDF]

PLoS One
Nguyen APN, Crane M, Conlon T, Bezbradica M.   +3 more
europepmc   +1 more source

Comparative investment analysis between crypto and conventional financial assets amid heightened geopolitical risk. [PDF]

Heliyon
Ullah M, Sohag K, Haddad H.
europepmc   +1 more source

Evaluating the environmental effects of bitcoin mining on energy and water use in the context of energy transition. [PDF]

Sci Rep
Magdalena R, Si Mohammed K, Nassani AA, Dascalu N.   +3 more
europepmc   +1 more source

Cybersecurity Attacks and Detection Methods in Web 3.0 Technology: A Review. [PDF]

Sensors (Basel)
Alotaibi B.
europepmc   +1 more source

A critical analysis of deployed use cases for quantum key distribution and comparison with post-quantum cryptography. [PDF]

EPJ Quantum Technol
Aquina N, Cimoli B, Das S, Hövelmanns K, Weber FJ, Okonkwo C, Rommel S, Škorić B, Tafur Monroy I, Verschoor S.   +9 more
europepmc   +1 more source

VAT/GST harmonisation challenges for digital assets such as bitcoin and NFTs in the EU following Case C-264/14 (Skatteverket v David Hedqist). [PDF]

Int Cybersecur Law Rev
Ness S.
europepmc   +1 more source

A two-stage framework for enhancing crsyptocurrency portfolio performance: Integrating credibilistic CVaR criterion with a novel asset preselection approach. [PDF]

PLoS One
Ghanbari H, Tavakoli S, Shabani M, Mohammadi E, Sadjadi SJ, Kumar RR.   +5 more
europepmc   +1 more source

Influencing factors and mechanisms of action on the participation intentions of cryptocurrency investment fraud victims-A quantitative examination from the perspective of the theory of planned behavior. [PDF]

PLoS One
Wang J, Deng L.
europepmc   +1 more source

An empirical approach and practical framework for a decentralized Ethereum Ecosystem Index (EEI). [PDF]

PeerJ Comput Sci
Alonso Gadi MF, Schmidt M, Ruemmele N, Sicilia MA.   +3 more
europepmc   +1 more source

Behaviorally informed deep reinforcement learning for portfolio optimization with loss aversion and overconfidence. [PDF]

Sci Rep
Charkhestani A, Esfahanipour A.
europepmc   +1 more source