[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 …

A novel classification of attacks on blockchain layers: Vulnerabilities, attacks, mitigations, and research directions

K Dwivedi, A Agrawal, A Bhatia, K Tiwari - arxiv preprint arxiv:2404.18090, 2024 - arxiv.org
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 …

On the prediction of systemic risk tolerance of cryptocurrencies

S Boubaker, S Karim, MA Naeem… - … Forecasting and Social …, 2024 - Elsevier
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 …

FTX collapse and systemic risk spillovers from FTX token to major cryptocurrencies

E Bouri, E Kamal, H Kinateder - Finance Research Letters, 2023 - Elsevier
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 …

[HTML][HTML] Assessing the crypto market stability after the FTX collapse: A study of high frequency volatility and connectedness

C Esparcia, A Escribano, F Jareño - International Review of Financial …, 2024 - Elsevier
This study examines the intraday volatility connectedness between the FTT token and the
major cryptocurrencies (altcoins and stablecoins) surrounding the FTX bankruptcy. Intraday …

[HTML][HTML] Crypto-Cognitive Exploitation: Integrating Cognitive, Social, and Technological perspectives on cryptocurrency fraud

A Perdana, HJ Jiow - Telematics and Informatics, 2024 - Elsevier
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 …

[HTML][HTML] A profitable trading algorithm for cryptocurrencies using a neural network model

M Parente, L Rizzuti, M Trerotola - Expert Systems with Applications, 2024 - Elsevier
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 …

[HTML][HTML] Unravelling systemic risk commonality across cryptocurrency groups

MR Rahman, MA Naeem, L Yarovaya… - Finance Research …, 2024 - Elsevier
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 …

Are benchmark stock indices, precious metals or cryptocurrencies efficient hedges against crises?

NA Kyriazis, S Papadamou, P Tzeremes - Economic Modelling, 2023 - Elsevier
This study investigates whether benchmark stock indices, precious metals or
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 …