Results 101 to 110 of about 49,196 (298)
DISTRIBUTION OF ETHEREUM BLOCKCHAIN ADDRESSES
In the contemporary world, Ethereum is a very reliable financial saving among cryptocurrencies. It is also well known as a blockchain platform for creating and launching its own cryptocurrency.
A. Seitenov, G. Smagulova
doaj
Optimal Transport Autoregression to Forecast High‐Frequency Financial Data Distributions
ABSTRACT In this paper, we study the properties and performance of optimal transport autoregression in modeling and forecasting high‐frequency financial data distributions. We build on a class of univariate autoregressive transport models recently proposed in the literature (Zhu and Müller) where the distributional time series dynamics is modeled ...
Paolo Pagnottoni
wiley +1 more source
Stateful to Stateless: Modelling Stateless Ethereum [PDF]
Sandra Johnson +3 more
openalex +1 more source
ABSTRACT Despite the universal acknowledgment of financial profit expectations as an investment driver, environmental concern has been suggested as a factor influencing investors' decisions to purchase cryptocurrency. In this sense, this study investigates the impact of environmental information on investment allocation decisions to purchase different ...
Moritz Wendl +2 more
wiley +1 more source
Ethereum platform operates with rich spectrum of data structures and hashing and coding functions. The main source describing them is the Yellow paper, complemented by a lot of informal blogs. These sources are somehow limited. In particular, the Yellow paper does not ideally balance brevity and detail, in some parts it is very detail, while too ...
openaire +2 more sources
A Framework for Blockchain Interoperability and Runtime Selection
The suitability of a particular blockchain for a given use case depends mainly on the blockchain's functional and non-functional properties. Such properties may vary over time, and thus, a selected blockchain may become unsuitable for a given use case ...
Borkowski, Michael +2 more
core
Explainable AI With Imbalanced Learning Strategies for Blockchain Transaction Fraud Detection
Research methodology pipeline for blockchain fraud detection. ABSTRACT Blockchain networks now support billions of dollars in daily transactions, making reliable and transparent fraud detection essential for maintaining user trust and financial stability.
Ahmed Abbas Jasim Al‐Hchaimi +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
A slightly shorter version To appear in the Proceedings of the IEEE International Conference on Blockchain and Cryptocurrency, ICBC ...
Biton, Dvir David +2 more
openaire +2 more sources
Major Conundrums and Possible Solutions in DeFi Insurance
ABSTRACT This paper empirically explores the early development of insurance projects in the decentralised finance (DeFi) industry, which is based on disruptive technologies like blockchain and smart contracts. A brief history of DeFi is narrated, stressing four risks of DeFi (volatility risk, cyberattack risk, liquidity risk, and regulation risk) and ...
Peng Zhou, Ying Zhang
wiley +1 more source

