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[HTML][HTML] Blockchain for sustainability: A systematic literature review for policy impact
C Mulligan, S Morsfield, E Cheikosman - Telecommunications Policy, 2024 - Elsevier
Blockchain technology has been proposed to achieve sustainable development through
various solutions, such as carbon credit trading, energy systems and supply chain …
various solutions, such as carbon credit trading, energy systems and supply chain …
A novel classification of attacks on blockchain layers: Vulnerabilities, attacks, mitigations, and research directions
The widespread adoption of blockchain technology has amplified the spectrum of potential
threats to its integrity and security. The ongoing quest to exploit vulnerabilities emphasizes …
threats to its integrity and security. The ongoing quest to exploit vulnerabilities emphasizes …
On the prediction of systemic risk tolerance of cryptocurrencies
The role of big data in finance is pivotal, especially in forecasting stock prices, mitigating risk,
and assessing market anomalies. With the financial system becoming more interconnected …
and assessing market anomalies. With the financial system becoming more interconnected …
FTX collapse and systemic risk spillovers from FTX token to major cryptocurrencies
We examine the dynamic lower tail dependence and downside risk spillover between the
FTX Token and seven major cryptocurrencies using Rotated Gumbel copula and GARCH …
FTX Token and seven major cryptocurrencies using Rotated Gumbel copula and GARCH …
[HTML][HTML] Assessing the crypto market stability after the FTX collapse: A study of high frequency volatility and connectedness
This study examines the intraday volatility connectedness between the FTT token and the
major cryptocurrencies (altcoins and stablecoins) surrounding the FTX bankruptcy. Intraday …
major cryptocurrencies (altcoins and stablecoins) surrounding the FTX bankruptcy. Intraday …
[HTML][HTML] Crypto-Cognitive Exploitation: Integrating Cognitive, Social, and Technological perspectives on cryptocurrency fraud
The rising prominence of cryptocurrency in global finance has unfortunately rendered it a
prime target for scams, leading to significant financial losses. This study employs Cognitive …
prime target for scams, leading to significant financial losses. This study employs Cognitive …
[HTML][HTML] A profitable trading algorithm for cryptocurrencies using a neural network model
Algorithmic trading enables the execution of orders using a set of rules determined by a
computer program. Orders are submitted based on an asset's expected price in the future …
computer program. Orders are submitted based on an asset's expected price in the future …
[HTML][HTML] Unravelling systemic risk commonality across cryptocurrency groups
This study explores the systemic risk within thirty-four diverse cryptocurrencies, analyzing
the commonality across different groups. In light of the cryptocurrency market's significant …
the commonality across different groups. In light of the cryptocurrency market's significant …
Are benchmark stock indices, precious metals or cryptocurrencies efficient hedges against crises?
This study investigates whether benchmark stock indices, precious metals or
cryptocurrencies constitute more reliable hedging mechanisms in normal periods in …
cryptocurrencies constitute more reliable hedging mechanisms in normal periods in …
[HTML][HTML] An advisor neural network framework using LSTM-based informative stock analysis
F Ricchiuti, G Sperlí - Expert Systems with Applications, 2025 - Elsevier
In the past years, the widespread diffusion of Artificial Intelligence (AI) in the finance domain
transformed different services, with particular attention to the stock market. Although different …
transformed different services, with particular attention to the stock market. Although different …