Results 51 to 60 of about 7,603 (154)
Abstract This study develops an explainable machine learning model to predict cryptocurrency delistings using Binance data. It combines quantitative indicators (price, volume) with qualitative data from real‐time news and Reddit. Latent Dirichlet Allocation (LDA) is used to extract topic trends and community reactions, which are transformed into time ...
Sungju Yang, Hunyeong Kwon
wiley +1 more source
ABSTRACT The hypotheses of Senonian flint to be a prime source of prehistoric “chalcedony” flint artefacts from the Negev Desert (Israel) was not investigated in detail thus far. By combining trace‐element profiling with statistical interpretation, ten flint items from Nahal Zahal, an Early Pre‐Pottery Neolithic B site in the northern Negev, were ...
Meir Finkel +5 more
wiley +1 more source
Primitive-Level vs. Implementation-Level DPA Security: a Certified Case Study
Implementation-level countermeasures like masking can be applied to any cryptographic algorithm in order to mitigate Differential Power Analysis (DPA).
Charles Momin +2 more
doaj +1 more source
ABSTRACT At its core, transhumanism is utopic and apocalyptic: it tells us we will be saved through an imminent radical change of our being wrought by radical human enhancement (RHE) technologies. We are rushing, its supporters claim, towards a technological utopia so long as assorted techno‐phobes do not stand in the way.
Benjamin N. Parks
wiley +1 more source
A qualitative assessment of quantitative easing sentiment
Abstract This mixed‐method study undertakes a comprehensive inquiry of the public discourse on social media surrounding quantitative easing (QE) across the US, the UK, and the European Union. Utilizing a unique tweet dataset, we reveal the sentiment polarity toward QE policy to be strongly negative, at 71.27%, with positive sentiment a mere 4.25 ...
Niamh Wylie, Martha O’Hagan‐Luff
wiley +1 more source
Volatility ≠ Risk: When Timing Alpha in Crypto Markets Reflects Mispricing
ABSTRACT Volatility timing in cryptocurrency markets generates significant alpha, but only during periods of loose monetary policy and high uncertainty. Analyzing S&P crypto indices (2017–2023) dominated by large‐cap assets, we show realized volatility can reflect noise‐driven speculative flows, not risk compensation. This effect is strongest for small‐
Arben Kita, Yue Zhang
wiley +1 more source
Specification Tests for Jump‐Diffusion Models Based on the Characteristic Function
Summary Goodness‐of‐fit tests are suggested for several popular jump‐diffusion processes. The suggested test statistics utilise the marginal characteristic function of the model and its L2‐type discrepancy from an empirical counterpart. Model parameters are estimated either by minimising the aforementioned L2‐type discrepancy or by maximum likelihood ...
Gerrit Lodewicus Grobler +3 more
wiley +1 more source
Trust Domain Extensions Guest Fuzzing Framework for Security Vulnerability Detection
The Intel® Trust Domain Extensions (TDX) encrypt guest memory and minimize host interactions to provide hardware-enforced isolation for sensitive virtual machines (VMs). Software vulnerabilities in the guest OS continue to pose a serious risk even as the
Eran Dahan +2 more
doaj +1 more source
The Ideology of Sovereign Money: How Bitcoin Harms Politics
Constellations, EarlyView.
Nanna Lilletvedt Sæten
wiley +1 more source
Abstract The future of money is a crucial issue in the digital age, and the emergence of central bank digital currencies (CBDCs) is widely recognised as a transformative development. However, despite its significant implications for monetary sovereignty, regulatory governance and strategic autonomy, we know relatively little about the political ...
Sebastian Heidebrecht
wiley +1 more source

