Results 51 to 60 of about 16,653 (224)

Using Deep Learning Conditional Value‐at‐Risk Based Utility Function in Cryptocurrency Portfolio Optimisation

open access: yesInternational Journal of Finance &Economics, EarlyView.
ABSTRACT One of the critical risks associated with cryptocurrency assets is the so‐called downside risk, or tail risk. Conditional Value‐at‐Risk (CVaR) is a measure of tail risks that is not normally considered in the construction of a cryptocurrency portfolio.
Xinran Huang   +3 more
wiley   +1 more source

Axiomatization of Blockchain Theory

open access: yesMathematics, 2023
The increasing use of artificial intelligence algorithms, smart contracts, the internet of things, cryptocurrencies, and digital money highlights the need for secure and sustainable decentralized solutions.
Sergey Goncharov, Andrey Nechesov
doaj   +1 more source

An Ethereum-Based Distributed Application for Enhancing Food Supply Chain Traceability

open access: yesFoods, 2023
In today’s era, humanity has been overwhelmed by technological revolutions that have changed and will continue to change how business operations are performed, directly or indirectly.
E. Kechagias   +3 more
semanticscholar   +1 more source

Trustworthy Federated Learning for Industrial IoT: Balancing Robustness and Fairness via Blockchain‐Based Reputation

open access: yesArtificial Intelligence for Engineering, EarlyView.
This paper proposes Block‐FairFL, a Trustworthy Federated Learning framework empowered by Blockchain, to address the dual challenges of security and fairness in deploying AI for industrial engineering. ABSTRACT The integration of artificial intelligence into the industrial Internet of Things is pivotal for predictive maintenance and autonomous control.
Hui Li
wiley   +1 more source

On the efficiency and its drivers in the cryptocurrency market: the case of Bitcoin and Ethereum

open access: yesFinancial Innovation
Most previous studies on the market efficiency of cryptocurrencies consider time evolution but do not provide insights into the potential driving factors.
Khaled Mokni   +3 more
semanticscholar   +1 more source

Predicting Cryptocurrency Fraud Using ChaosNet: The Ethereum Manifestation

open access: yesJournal of Risk and Financial Management, 2023
Cryptocurrencies are in high demand now due to their volatile and untraceable nature. Bitcoin, Ethereum, and Dogecoin are just a few examples. This research seeks to identify deception and probable fraud in Ethereum transactional processes.
Anurag Dutta   +4 more
semanticscholar   +1 more source

Ethereum

open access: yesJournal of Global Information Management
This bibliometric analysis of 602 Ethereum-focused publications (2017-2024) in business and economics identifies three key research clusters: contagion/volatility, investor behavior/market dynamics, and blockchain/DeFi applications. Findings reveal that exogenous macroeconomic shocks amplify volatility spillovers, while Ethereum's endogenous ...
Michael Zouari   +2 more
openaire   +1 more source

How Tether Depegging Affects Cryptocurrency Returns

open access: yesAccounting &Finance, EarlyView.
ABSTRACT This paper examines the relationship between Tether depegging events and the returns of ten major cryptocurrencies from November 2017 to November 2024. We distinguish between upward and downward deviations from the Tether peg, identifying these events as threshold exceedances based on historical prices, using both constant parameter and ...
Sean Foley   +2 more
wiley   +1 more source

Between Cryptocurrencies' Risk and Crypto Environmental Attention: The Crypto Environment Attention Index and Volatility in the Cryptocurrencies Market Nexus

open access: yesBusiness Ethics, the Environment &Responsibility, EarlyView.
ABSTRACT This study investigates the impact of environmental attention on cryptocurrency market volatility by introducing the Crypto Environmental Attention Index (CEAI), a new metric inspired by Wang et al. (2022) and constructed using daily web search data.
Ines Ghazouani   +2 more
wiley   +1 more source

Doubt in the Legal Capacity of Smart Contract’s Parties and the Possibility of Applying the Principle of Correctness in the Assumption of Non-Qualification [PDF]

open access: yesپژوهشهای حقوقی
As one of the relatively new topics of the technology world, the smart contract has different angles and dimensions in the field of conclusion and execution, which must be analyzed from a legal perspective. This contract is implemented on the platform of
Mohammad Hasan Taj Langerudi   +1 more
doaj   +1 more source

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