Results 101 to 110 of about 3,126,053 (251)

Consumer confidence and cryptocurrency excess returns: A three-factor model [PDF]

open access: yes
This study examined the relation between consumer confidence and cryptocurrency excess returns using a three-factor model of market, size and momentum. We analysed a dataset comprising 3318 cryptocurrencies from 1 January 2014 to 31 December 2022 based ...
Peng, Sanshao   +7 more
core   +1 more source

Herding and investor sentiment after the cryptocurrency crash: evidence from Twitter and natural language processing

open access: yesFinancial Innovation
Although the 2022 cryptocurrency market crash prompted despair among investors, the rallying cry, “wagmi” (We’re all gonna make it.) emerged among cryptocurrency enthusiasts in the aftermath.
Michael Cary
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

Skewness in the Cryptocurrency Market

open access: yesBCP Business & Management, 2022
The cryptocurrency market is generally accepted in the world, and its price has soared and plummeted sharply. Meanwhile, skewness is an index reflecting the rapid rise and fall of asset prices in a short period. Studying the relationship between the skewness of cryptocurrency and its returns can help risk evaders expect bad news and provide a reference
openaire   +1 more source

Investigating proxies for retail investor attention in financial markets

open access: yesAccounting &Finance, Volume 65, Issue 1, Page 521-550, March 2025.
Abstract Investor attention influences financial markets but “depends on where you search” (Ben‐Rephael et al., The Review of Financial Studies, 2017, 30, 3009). We explore various retail investor attention proxies and their correlations with company characteristics and market reactions.
Daniel Cahill   +2 more
wiley   +1 more source

The cryptocurrency market in today's realities

open access: yes, 2023
Факультет международных отношенийWith the development of information technology, cryptocurrencies have an increasing impact on the world and its economic processes every year.
Kozaredov, V. O., Matveyuk, A. R.
core  

Inferring interactions in multispecies communities: The cryptocurrency market case. [PDF]

open access: yesPLoS One, 2023
Brigatti E   +3 more
europepmc   +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

Survey on Visualization of Information Diffusion over Networks

open access: yesComputer Graphics Forum, EarlyView.
Abstract Information Diffusion (ID) describes how a value (e.g., a pathogen, a rumor, a packet) spreads through an underlying “medium” network of elements (e.g., a social or computer network). Understanding the information diffusion process is essential to predicting trends, controlling misinformation, and enhancing decision‐making as well as ...
T. Baumgartl   +8 more
wiley   +1 more source

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