Volatility connectedness between clean energy firms and crude oil in the COVID-19 era

M Foglia, E Angelini - Sustainability, 2020 - mdpi.com
The work investigates the volatility connectedness between oil price and clean energy firms
over the period 2011–2020 (including the COVID-19 outbreak). Using the volatility spillover …

Dynamic volatility spillovers among bulk mineral commodities: A network method

S An, X Gao, H An, S Liu, Q Sun, N Jia - Resources Policy, 2020 - Elsevier
The volatility spillover effects among bulk mineral commodities is an important and hot issue
in mineral resource policy. This paper applies a network theory approach that incorporates a …

Co-movement of coherence between oil prices and the stock market from the joint time-frequency perspective

S Huang, H An, X Huang, X Jia - Applied Energy, 2018 - Elsevier
Interactions between oil prices and the stock market are complex both in the time and
frequency domain. Unlike previous studies mainly focus on the dynamic correlation of …

Evaluating influential nodes for the Chinese energy stocks based on jump volatility spillover network

C Huang, X Zhao, Y Deng, X Yang, X Yang - International Review of …, 2022 - Elsevier
We employ a complex network approach to dig out the influential Chinese energy stocks in
this paper. We first use the 5-min high-frequency data of the Chinese energy stocks over the …

Network features of sector indexes spillover effects in China: A multi-scale view

S Feng, S Huang, Y Qi, X Liu, Q Sun, S Wen - Physica A: Statistical …, 2018 - Elsevier
The spillover effects among sectors are of concern for distinct market participants, who are in
distinct investment horizons and concerned with the information in different time scales. In …

Reconstructing complex network for characterizing the time-varying causality evolution behavior of multivariate time series

M Jiang, X Gao, H An, H Li, B Sun - Scientific reports, 2017 - nature.com
In order to explore the characteristics of the evolution behavior of the time-varying
relationships between multivariate time series, this paper proposes an algorithm to transfer …

Characterizing the dynamic evolutionary behavior of multivariate price movement fluctuation in the carbon-fuel energy markets system from complex network …

W Chen, S Xiong, Q Chen - Energy, 2022 - Elsevier
This paper explores the dynamic evolutionary characteristics of the multivariate price
movement in the carbon-fuel energy markets system by analyzing the topological features of …

Research on energy stock market associated network structure based on financial indicators

X Xi, H An - Physica A: Statistical Mechanics and its Applications, 2018 - Elsevier
A financial market is a complex system consisting of many interacting units. In general, due
to the various types of information exchange within the industry, there is a relationship …

Volatility spillover of energy stocks in different periods and clusters based on structural break recognition and network method

P An, H Li, J Zhou, Y Li, B Sun, S Guo, Y Qi - Energy, 2020 - Elsevier
This paper investigates the volatility spillover among multiple energy stocks in different
periods and clusters (the period of similar fluctuation) by employing the Toeplitz inverse …

The spillover effects between natural gas and crude oil markets: The correlation network analysis based on multi-scale approach

X Li, M Sun, C Gao, H He - Physica A: Statistical Mechanics and its …, 2019 - Elsevier
This paper proposes a new compound model to investigate the dynamic linkage mechanism
between the natural gas and crude oil markets from the multi-scale perspective. In the …