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In this paper, we consider a variety of multi-state Hidden Markov models for predicting and explaining the Bitcoin, Ether and Ripple returns in the presence of state (regime) dynamics. In addition, we examine the effects of several…

应用统计 · 统计学 2020-12-08 Constandina Koki , Stefanos Leonardos , Georgios Piliouras

In recent years, cryptocurrencies have attracted growing attention from both private investors and institutions. Among them, Bitcoin stands out for its impressive volatility and widespread influence. This paper explores the predictability…

统计金融 · 定量金融 2025-04-29 Grégory Bournassenko

Non-fungible tokens (NFTs) as a decentralized proof of ownership represent one of the main reasons why Ethereum is a disruptive technology. This paper presents the first systematic study of the interactions occurring in a number of NFT…

社会与信息网络 · 计算机科学 2021-10-26 S. Casale-Brunet , P. Ribeca , P. Doyle , M. Mattavelli

The non-fungible token (NFT) is an emergent type of cryptocurrency that has garnered extensive attention since its inception. The uniqueness, indivisibility and humanistic value of NFTs are the key characteristics that distinguish them from…

计算机与社会 · 计算机科学 2023-01-10 Yixiang Tan , Zhiying Wu , Jieli Liu , Jiajing Wu , Zibin Zheng , Ting Chen

Cryptocurrency blockchains, beyond their primary role as distributed payment systems, are increasingly used to store and share arbitrary content, such as text messages and files. Although often non-financial, this hidden content can impact…

机器学习 · 计算机科学 2025-04-21 Charalampos Kleitsikas , Nikolaos Korfiatis , Stefanos Leonardos , Carmine Ventre

This work aims to analyse the predictability of price movements of cryptocurrencies on both hourly and daily data observed from January 2017 to January 2021, using deep learning algorithms. For our experiments, we used three sets of…

统计金融 · 定量金融 2021-02-18 Marco Ortu , Nicola Uras , Claudio Conversano , Giuseppe Destefanis , Silvia Bartolucci

Utilizing graph analytics and learning has proven to be an effective method for exploring aspects of crypto economics such as network effects, decentralization, tokenomics, and fraud detection. However, the majority of existing research…

计算工程、金融与科学 · 计算机科学 2024-03-12 Bingqiao Luo

This document analyzes price discovery in cryptocurrency markets by comparing centralized and decentralized exchanges, as well as spot and futures markets. The study focuses first on Ethereum (ETH) and then applies a similar approach to…

交易与市场微观结构 · 定量金融 2025-06-11 Juan Plazuelo Pascual , Carlos Tardon Rubio , Juan Toro Cebada , Angel Hernando Veciana

This study examines whether the efficiency of cryptocurrency markets (Bitcoin and Ethereum) evolve over time based on Lo's (2004) adaptive market hypothesis (AMH). In particular, we measure the degree of market efficiency using a…

统计金融 · 定量金融 2020-07-08 Akihiko Noda

Price movements of stock market are not totally random. In fact, what drives the financial market and what pattern financial time series follows have long been the interest that attracts economists, mathematicians and most recently computer…

统计金融 · 定量金融 2013-11-20 G. Kavitha , A. Udhayakumar , D. Nagarajan

Pixels and market cycles both move NFT prices. Non-fungible tokens (NFTs) are unique digital assets, often used to represent ownership of digital art, collectibles, and other media, secured on blockchain networks like Ethereum. The rise of…

综合经济学 · 经济学 2025-10-15 Samiha Tariq

The role of cryptocurrencies within the financial systems has been expanding rapidly in recent years among investors and institutions. It is therefore crucial to investigate the phenomena and develop statistical methods able to capture…

应用统计 · 统计学 2024-10-22 Beatrice Foroni , Luca Merlo , Lea Petrella

Blockchain technology and, in particular, blockchain-based cryptocurrencies offer us information that has never been seen before in the financial world. In contrast to fiat currencies, all transactions of crypto-currencies and crypto-tokens…

社会与信息网络 · 计算机科学 2019-12-24 Yitao Li , Umar Islambekov , Cuneyt Akcora , Ekaterina Smirnova , Yulia R. Gel , Murat Kantarcioglu

Bitcoin and Ethereum are the top two blockchain-based cryptocurrencies whether from cryptocurrency market cap or popularity. However, they are vulnerable to selfish mining and stubborn mining due to that both of them adopt Proof-of-Work…

密码学与安全 · 计算机科学 2021-12-07 Runkai Yang , Xiaolin Chang , Jelena Mišić , Vojislav B. Mišić

Cryptocoins (i.e., Bitcoin, Ether, Litecoin) are tradable digital assets. Ownerships of cryptocoins are registered on distributed ledgers (i.e., blockchains). Secure encryption techniques guarantee the security of the transactions…

计算工程、金融与科学 · 计算机科学 2024-09-06 Pasquale De Rosa , Pascal Felber , Valerio Schiavoni

The decentralization, redundancy, and pseudo-anonymity features have made permission-less public blockchain platforms attractive for adoption as technology platforms for cryptocurrencies. However, such adoption has enabled cybercriminals to…

密码学与安全 · 计算机科学 2021-08-27 Banwari Lal , Rachit Agarwal , Sandeep Kumar Shukla

In this study the cross-correlations between the cryptocurrency market represented by the two most liquid and highest-capitalized cryptocurrencies: bitcoin and ethereum, on the one side, and the instruments representing the traditional…

统计金融 · 定量金融 2023-03-02 Marcin Wątorek , Jarosław Kwapień , Stanisław Drożdż

Currently cryptocurrencies and Decentralized Finance (DeFi), which enable financial services on public blockchains, represents a new growing trend in finance. In contrast to financial markets, ruled by traditional corporations, DeFi is…

社会与信息网络 · 计算机科学 2024-01-04 Mar Grande , Florentino Borondo , Javier Borondo

The dramatic adoption of Bitcoin and other cryptocurrencies in the USA has revolutionized the financial landscape and provided unprecedented investment and transaction efficiency opportunities. The prime objective of this research project…

In this paper we develop a linear expectile hidden Markov model for the analysis of cryptocurrency time series in a risk management framework. The methodology proposed allows to focus on extreme returns and describe their temporal evolution…

应用统计 · 统计学 2024-01-19 Beatrice Foroni , Luca Merlo , Lea Petrella
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