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 …

Covid-19 pandemic and spillover effects in stock markets: A financial network approach

A Samitas, E Kampouris, S Polyzos - International Review of Financial …, 2022 - Elsevier
This paper examines the impact of the COVID-19 pandemic on 51 major stock markets, both
emerging and developed. We isolated the countries susceptible to shock transmissions, and …

Machine learning as an early warning system to predict financial crisis

A Samitas, E Kampouris, D Kenourgios - International Review of Financial …, 2020 - Elsevier
This paper studies on “Early Warning Systems”(EWS) by investigating possible contagion
risks, based on structured financial networks. Early warning indicators improve standard …

Correlation structure and evolution of world stock markets: Evidence from Pearson and partial correlation-based networks

GJ Wang, C Xie, HE Stanley - Computational Economics, 2018 - Springer
We construct a Pearson correlation-based network and a partial correlation-based network,
ie, two minimum spanning trees (MST-Pearson and MST-Partial), to analyze the correlation …

An overview of renewable energy companies in stock exchange: Evidence from minimal spanning tree approach

M Kazemilari, A Mardani, D Streimikiene… - Renewable Energy, 2017 - Elsevier
The renewable energy industry has the important role in overall growth in the worldwide
economy in the last two decades. This paper constitutes a first analysis on renewable …

An integrated framework for classification and selection of stocks for portfolio construction: Evidence from NSE, India

S Gupta, G Bandyopadhyay, S Biswas… - … Making: Applications in …, 2023 - dmame-journal.org
Investment extortion in the stock market is a crucial aspect considered by the investors.
Therefore, investors implemented different strategies. This study was intended at …

Granger causality stock market networks: Temporal proximity and preferential attachment

T Výrost, Š Lyócsa, E Baumöhl - Physica A: Statistical Mechanics and its …, 2015 - Elsevier
The structure of return spillovers is examined by constructing Granger causality networks
using daily closing prices of 20 developed markets from 2nd January 2006 to 31st …

Similarity measure and topology evolution of foreign exchange markets using dynamic time warping method: Evidence from minimal spanning tree

GJ Wang, C Xie, F Han, B Sun - Physica A: Statistical Mechanics and its …, 2012 - Elsevier
In this study, we employ a dynamic time warping method to study the topology of similarity
networks among 35 major currencies in international foreign exchange (FX) markets …

Topology of the South African stock market network across the 2008 financial crisis

M Majapa, SJ Gossel - Physica A: Statistical Mechanics and its Applications, 2016 - Elsevier
This study uses the cross-correlations in the daily closing prices of the South African Top
100 companies listed on the JSE All share index (ALSI) from June 2003 to June 2013 to …

[HTML][HTML] Statistical properties of the foreign exchange network at different time scales: evidence from detrended cross-correlation coefficient and minimum spanning …

GJ Wang, C Xie, YJ Chen, S Chen - Entropy, 2013 - mdpi.com
We investigate the statistical properties of the foreign exchange (FX) network at different time
scales by two approaches, namely the methods of detrended cross-correlation coefficient …