Results 71 to 80 of about 16,653 (224)
Abstract This essay argues that social media document (rather than fuel) the decline of political democracy while helping revive organizational democracy, including through ‘decentralized autonomous organizations’ (DAOs). Yet, despite giving everyone a voice and the ability to organize across borders, social media could over‐concentrate power if, in ...
J.P. Vergne
wiley +1 more source
PERAMALAN DURASI ETHEREUM MENGGUNAKAN MODEL AUTOREGRESSIVE CONDITIONAL DURATION
Forecasting is the process of estimating future events using past data. Financial time series forecasting often prioritizes stock price variables. Apart from the stock price variable, inter-transaction time or duration is also an important variable to ...
I WAYAN SUMARJAYA +2 more
doaj +1 more source
Breaking the Anonymity of Ethereum Mixing Services Using Graph Feature Learning
With the property of helping users further enhance the anonymity of transactions, mixing services in blockchain have gained wide popularity in recent years.
Hanbiao Du +4 more
semanticscholar +1 more source
ABSTRACT Pairs trading, a popular algorithmic trading strategy, exploits the short‐term price difference (spread) between two comoving assets. Empirically, the spread distribution of most assets in pairs trading has a fat‐tail characteristic that does not follow a normal distribution.
Yuhee Kwon, Youngsoo Choi
wiley +1 more source
TokenScout: Early Detection of Ethereum Scam Tokens via Temporal Graph Learning
Decentralized finance has experienced phenomenal growth, revolutionizing the landscape of financial transactions and asset management via blockchain. Yet, this swift growth brings with it substantial challenges, notably the surge in scam tokens, imposing
Cong Wu +9 more
semanticscholar +1 more source
Financial Time Series Uncertainty: A Review of Probabilistic AI Applications
ABSTRACT Probabilistic machine learning models offer a distinct advantage over traditional deterministic approaches by quantifying both epistemic uncertainty (stemming from limited data or model knowledge) and aleatoric uncertainty (due to inherent randomness in the data), along with full distributional forecasts.
Sivert Eggen +4 more
wiley +1 more source
Agents' Behavior and Interest Rate Model Optimization in DeFi Lending
ABSTRACT Contrasting sharply with traditional money, bond, and bond futures markets, where interest rates emerge organically from participant interactions, DeFi lending platforms employ rule‐based interest rates that are algorithmically set. Thus, the selection of an effective interest rate model (IRM) is paramount for the success of a lending protocol.
Charles Bertucci +4 more
wiley +1 more source
A Survey of Ethereum Smart Contract Security: Attacks and Detection
A smart contract is a computerised transaction agreement that carries out predefined terms without human involvement or third-party intermediaries. It serves as a trust intermediary in several industries, including finance, insurance, and supply chain ...
Tengyun Jiao +5 more
semanticscholar +1 more source
Smart Contracts and SME Resilience: Business Model Adaptation and International Considerations
ABSTRACT Smart contracts (SCs), appended to a blockchain, protect digital environments and their resources, processes and structures, reducing mismatches between legal and actual rights and ownership. They enhance digital resilience by improving transparency, traceability and trust in digital transactions.
Araz Zirar +2 more
wiley +1 more source
Forecasting Ethereum’s volatility: an expansive approach using HAR models and structural breaks
Cryptocurrencies have become a popular investment option and the Ethereum has become a mainstream cryptocurrency because of the additional functionality that can be accomplished with the backing of the powerful Ethereum network compared to Bitcoin.
Ruijie Chen
doaj +1 more source

