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 …

Multifractal analysis of financial markets: A review

ZQ Jiang, WJ Xie, WX Zhou… - Reports on Progress in …, 2019 - iopscience.iop.org
Multifractality is ubiquitously observed in complex natural and socioeconomic systems.
Multifractal analysis provides powerful tools to understand the complex nonlinear nature of …

Stock markets and the COVID-19 fractal contagion effects

DI Okorie, B Lin - Finance Research Letters, 2021 - Elsevier
This article investigates the fractal contagion effect of the COVID-19 pandemic on the stock
markets. The stock market information of the top 32 coronavirus affected economies (as of …

On the efficiency of foreign exchange markets in times of the COVID-19 pandemic

F Aslam, S Aziz, DK Nguyen, KS Mughal… - … forecasting and social …, 2020 - Elsevier
We employ multifractal detrended fluctuation analysis (MF-DFA) to provide a first look at the
efficiency of forex markets during the initial period of the ongoing coronavirus disease 2019 …

The spillover effects and connectedness among green commodities, Bitcoins, and US stock markets: Evidence from the quantile VAR network

R Khalfaoui, SB Jabeur, B Dogan - Journal of environmental management, 2022 - Elsevier
Several economic and financial crises, as well as the recent health crisis, have driven major
shock spillover channels over stock markets. While various empirical studies have explored …

Correlations between the crude oil market and capital markets under the Russia–Ukraine conflict: A perspective of crude oil importing and exporting countries

M Huang, W Shao, J Wang - Resources Policy, 2023 - Elsevier
This paper analyzes the effect of the Russia–Ukraine conflict on the crude oil market and the
chain effect of the stock market in importing and exporting countries. We apply a multi-fractal …

Coevolution spreading in complex networks

W Wang, QH Liu, J Liang, Y Hu, T Zhou - Physics Reports, 2019 - Elsevier
The propagations of diseases, behaviors and information in real systems are rarely
independent of each other, but they are coevolving with strong interactions. To uncover the …

Complex networks and deep learning for EEG signal analysis

Z Gao, W Dang, X Wang, X Hong, L Hou, K Ma… - Cognitive …, 2021 - Springer
Electroencephalogram (EEG) signals acquired from brain can provide an effective
representation of the human's physiological and pathological states. Up to now, much work …

Complex network analysis of time series

ZK Gao, M Small, J Kurths - Europhysics Letters, 2017 - iopscience.iop.org
Revealing complicated behaviors from time series constitutes a fundamental problem of
continuing interest and it has attracted a great deal of attention from a wide variety of fields …

Using the Climate Forecast System Reanalysis as weather input data for watershed models

DR Fuka, MT Walter, C MacAlister… - Hydrological …, 2014 - Wiley Online Library
Obtaining representative meteorological data for watershed‐scale hydrological modelling
can be difficult and time consuming. Land‐based weather stations do not always adequately …