Results 81 to 90 of about 33,070 (200)

Human‐supervised LLM triage of pig butchering complaints: A validation study of multi‐model identifier extraction

open access: yesJournal of Forensic Sciences, EarlyView.
Abstract Digital forensic investigations increasingly process unstructured cryptocurrency‐fraud complaints at intake while preserving analyst oversight before evidentiary or downstream investigative use. This validation study evaluates whether human‐supervised multi‐model LLM extraction can recover triage‐relevant identifiers from California DFPI pig ...
Sanghyeob Ko   +3 more
wiley   +1 more source

CHAUSSETTE: A Symbolic Verification of Bitcoin Scripts [PDF]

open access: yes
peer reviewedThe Bitcoin protocol relies on scripts written in SCRIPT, a simple Turing-incomplete stack-based language, for locking the money carried over the Bitcoin network.
Donnet, Benoît, Jacquot, Vincent
core   +1 more source

Book Review: "The Bitcoin Standard: The Decentralized Alternative to Central Banking"

open access: yesQuarterly Journal of Austrian Economics, 2020
Treating bitcoin from the point of view of Austrian economics, Saifedean Ammous' _The Bitcoin Standard_ relates bitcoin to the theory of the market economy as a whole.
Kristoffer Hansen
doaj   +1 more source

De‐Dollarization Is a Plausible Outcome of the New Washington Consensus

open access: yesGlobal Policy, EarlyView.
ABSTRACT A trend towards de‐dollarization of the global economy in which the US dollar ceases to be used as the world's reserve currency for international transactions confronts some of the existing structures of international economic law, built upon the rules set out by US‐led organizations like the WTO, the IMF, and the World Bank. This article will
David Collins
wiley   +1 more source

BLN: A LAYER-2 Framework for Fast Bitcoin Transaction Processing

open access: yes, 2023
The purpose of this thesis is to propose a new trading model based on the existing structure of Bitcoin and the Lightning Network. We want to solve the problem that the Lightning Network does not support large transactions and the inequality between the ...
Wang, Yahu
core  

Comparison of Support Vector Regression and Extreme Learning Machine Methods for Predicting Bitcoin Prices

open access: yesJournal of Applied Informatics and Computing
Bitcoin can be used for transactions, mining, and investments. Transactions with Bitcoin are highly secure with the help of Bitcoin miner validation.
Felix Ferdinand   +5 more
doaj   +1 more source

Developing Predictive and Explainable Models for Cryptocurrency Delistings: A Case Study of Binance Exchange

open access: yesAsia-Pacific Journal of Financial Studies, EarlyView.
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

Corporate Governance and Evolving Corporate Disclosures: A Commentary and Reflections

open access: yesCorporate Governance: An International Review, EarlyView.
ABSTRACT Research Question/Issue This editorial introduces the Special Issue on “Corporate Governance and Evolving Corporate Disclosures” and advances a framework for understanding how governance structures and disclosure practices co‐evolve in response to regulatory reforms, stakeholder pressures, and technological change.
Vasiliki Athanasakou   +3 more
wiley   +1 more source

Predicting bitcoin returns using high-dimensional technical indicators

open access: yesJournal of Finance and Data Science, 2019
There has been much debate about whether returns on financial assets, such as stock returns or commodity returns, are predictable; however, few studies have investigated cryptocurrency return predictability.
Jing-Zhi Huang, William Huang, Jun Ni
doaj   +1 more source

A qualitative assessment of quantitative easing sentiment

open access: yesEconomic Inquiry, EarlyView.
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

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