Results 41 to 50 of about 33,070 (200)

Review on Bitcoin Price Prediction Using Machine Learning and Statistical Methods

open access: yesSakarya University Journal of Computer and Information Sciences, 2020
Bitcoin is invented in 2009 by the pseudonymous Satoshi Nakamoto. Bitcoin is a decentralized digital currency system [1]. Bitcoin is the most acknowledged cryptocurrency in the world, which provide it interesting for financier.
I.sibel Kervancı, Fatih Akay
doaj   +1 more source

Statistical and clustering analysis of attributes of Bitcoin backbone nodes.

open access: yesPLoS ONE, 2023
Bitcoin is a decentralized digital cryptocurrency. Its network is a Peer-to-peer(P2P) network consisting of distributed nodes. Some of these nodes are always online and in this article are called Bitcoin backbone nodes.
Dawei Xu   +4 more
doaj   +1 more source

Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez   +3 more
wiley   +1 more source

Dynamic Spillovers Between FinTech, Blockchain, and Green Finance: A Quantile Connectedness Approach

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT This paper explores how financial innovation and environmental sustainability intersect by analyzing spillovers between FinTech, blockchain energy use, and green finance. Using a Quantile Vector Autoregression (QVAR) framework, we examine weekly data from 2018 to 2024 across 11 digital, environmental, and macro‐financial indices.
Mehmet Sahiner, Sisi Sung, James Devlin
wiley   +1 more source

Bitcoin Bro: Time-series prediction for Bitcoin price with data scraped from Binance API

open access: yes, 2023
Time-series prediction for Bitcoin price with data scraped from Binance ...
Lim, Jonathan Siu Chi
core   +1 more source

The correlation and volatility between bitcoin and the blockchain index

open access: yesInternational Journal of Crowd Science, 2020
PurposeThe encrypted money market has attracted the attention of investors all over the world. Among the encrypted currency, bitcoin is undoubtedly the most popular.
Tuotuo Qi   +3 more
doaj   +1 more source

Hyperledger Fabric for the (digitalized) lifecycle of construction products: Applied review on fastening technology

open access: yesCivil Engineering Design, Volume 7, Issue 1, Page 9-22, March 2025.
Abstract Blockchain technology is a digital decentralized data ledger recording transactions in an encrypted format. Its implementation can potentially hold significant advantages for the built environment, particularly in manufacturing and building product usage aligned with Building Information Modeling (BIM). This paradigm shift toward decentralized
Aileen Pfeil   +2 more
wiley   +1 more source

The world of bitcoin

open access: yes, 2023
openIl presente elaborato, dal carattere precipuamente descrittivo, si pone l’obiettivo di fornire una sintetica panoramica sul mondo dei bitcoin nei suoi aspetti teorici e reali.
BEDA, LUCA
core  

Volatility Co-Movement between Bitcoin and Stablecoins: BEKK–GARCH and Copula–DCC–GARCH Approaches

open access: yesAxioms, 2022
This paper aims to investigate and measure Bitcoin and the five largest stablecoin market volatilities by incorporating various range-based volatility estimators to the BEKK- GARCH and Copula-DCC-GARCH models.
Kuo-Shing Chen, Shen-Ho Chang
doaj   +1 more source

A Novel Text‐Based Framework for Forecasting Carbon Prices

open access: yesJournal of Forecasting, EarlyView.
ABSTRACT This study proposes a text‐based framework for predicting EU carbon prices. Using weekly data from 2020 to 2024, we construct a multivariate dataset combining financial indicators, commodity prices, Google Trends measures, and news‐based sentiment extracted using FinBERT.
Christian Oliver Ewald, Yaoyu Li
wiley   +1 more source

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