Multiscale characteristics of the emerging global cryptocurrency market

M Wątorek, S Drożdż, J Kwapień, L Minati… - Physics Reports, 2021 - Elsevier
Modern financial markets are characterized by a rapid flow of information, a vast number of
participants having diversified investment horizons, and multiple feedback mechanisms …

Cryptocurrency price prediction using traditional statistical and machine‐learning techniques: A survey

AM Khedr, I Arif, M El‐Bannany… - Intelligent Systems in …, 2021 - Wiley Online Library
Cryptocurrencies are decentralized electronic counterparts of government‐issued money.
The first and best‐known cryptocurrency example is bitcoin. Cryptocurrencies are used to …

[HTML][HTML] On the stability of stablecoins

K Grobys, J Junttila, JW Kolari, N Sapkota - Journal of Empirical Finance, 2021 - Elsevier
This paper investigates the volatility processes of stablecoins and their potential stochastic
interdependencies with Bitcoin volatility. We employ a novel approach to choose the optimal …

LSTM-ReGAT: A network-centric approach for cryptocurrency price trend prediction

C Zhong, W Du, W Xu, Q Huang, Y Zhao… - Decision Support …, 2023 - Elsevier
Predicting price trends of cryptocurrencies is a challenging task due to the highly speculative
cryptocurrency market. Prior studies mainly investigate predictors such as historical trading …

Cryptocurrency, a successful application of blockchain technology

M Hashemi Joo, Y Nishikawa, K Dandapani - Managerial Finance, 2020 - emerald.com
Purpose The purpose of this paper is to identify the applications and contributions of
blockchain technology in finance in general, and to identify areas where the technology can …

How stable are stablecoins?

LT Hoang, DG Baur - The European Journal of Finance, 2024 - Taylor & Francis
This paper analyzes the stability of stablecoins and proposes a framework to test for
absolute and relative stability of stablecoins. Based on high-frequency data, we find strong …

Quantifying the spillover effect in the cryptocurrency market

G Moratis - Finance Research Letters, 2021 - Elsevier
The study quantifies the spillover effects in the cryptocurrency market using a rolling-window
Bayesian Vector Autoregressive Model. The present study offers a better understanding of …

Complexity in economic and social systems: Cryptocurrency market at around COVID-19

S Drożdż, J Kwapień, P Oświęcimka, T Stanisz… - Entropy, 2020 - mdpi.com
Social systems are characterized by an enormous network of connections and factors that
can influence the structure and dynamics of these systems. Among them the whole …

Shock transmission in the cryptocurrency market. Is Bitcoin the most influential?

D Zięba, R Kokoszczyński, K Śledziewska - International Review of …, 2019 - Elsevier
The growing cryptocurrency market has attracted the attention from many investors
worldwide, mainly due to the ease of entering the market and its extremely volatile character …

Time-frequency co-movement of cryptocurrency return and volatility: evidence from wavelet coherence analysis

X Qiao, H Zhu, L Hau - International Review of Financial Analysis, 2020 - Elsevier
This article examines the co-movement relationship among representative cryptocurrencies
from the perspectives of returns and volatility. Wavelet coherence and the correlation …