A survey of information entropy metrics for complex networks

YM Omar, P Plapper - Entropy, 2020 - mdpi.com
Information entropy metrics have been applied to a wide range of problems that were
abstracted as complex networks. This growing body of research is scattered in multiple …

Dynamic spillovers between energy and stock markets and their implications in the context of COVID-19

H Zhang, J Chen, L Shao - International Review of Financial Analysis, 2021 - Elsevier
This study combined time-varying parameter vector autoregression (TVP-VAR) and a
spillover index model to analyze the static, total, and net spillover effects of energy and stock …

Information interdependence among energy, cryptocurrency and major commodity markets

Q Ji, E Bouri, D Roubaud, L Kristoufek - Energy Economics, 2019 - Elsevier
The relationship between conventional and digital assets has become a prominent research
topic, a focus partially emerging from the establishment of some large cryptocurrencies as …

“Small things matter most”: The spillover effects in the cryptocurrency market and gold as a silver bullet

TLD Huynh, MA Nasir, XV Vo, TT Nguyen - The North American Journal of …, 2020 - Elsevier
The cryptocurrencies with small market capitalization are often overlooked despite they can
potentially be the source of shocks to other cryptocurrencies in the market. To address this …

Oil and gold as a hedge and safe-haven for metals and agricultural commodities with portfolio implications

MA Naeem, M Hasan, M Arif, MT Suleman, SH Kang - Energy Economics, 2022 - Elsevier
This paper examines the safe-haven and hedging potential of oil and gold against industrial
metals and agricultural commodities using a novel approach of quantile-on-quantile …

Uncertainties and extreme risk spillover in the energy markets: A time-varying copula-based CoVaR approach

Q Ji, BY Liu, H Nehler, GS Uddin - Energy Economics, 2018 - Elsevier
In this paper, we explore the impact of uncertainties on energy prices by measuring four
types of Delta Conditional Value-at-Risk (∆ CoVaR) using six time-varying copulas. Three …

Black swan events and safe havens: The role of gold in globally integrated emerging markets

S Bekiros, S Boubaker, DK Nguyen… - Journal of International …, 2017 - Elsevier
There is evidence to suggest that gold acts as both a hedge and a safe haven for equity
markets over recent years, and particularly during crises periods. Our work extends the …

Analyzing time–frequency co-movements across gold and oil prices with BRICS stock markets: A VaR based on wavelet approach

W Mensi, B Hkiri, KH Al-Yahyaee, SH Kang - International Review of …, 2018 - Elsevier
This paper examines the co-movements between five of the most important emerging stock
markets namely the BRICS (Brazil, Russia, India, China and South Africa) and both the …

[Retracted] Early Warning of Financial Risk Based on K‐Means Clustering Algorithm

Z Zhu, N Liu - Complexity, 2021 - Wiley Online Library
The early warning of financial risk is to identify and analyze existing financial risk factors,
determine the possibility and severity of occurring risks, and provide scientific basis for risk …

[HTML][HTML] Risk network of global energy markets

GS Uddin, T Luo, M Yahya, R Jayasekera… - Energy Economics, 2023 - Elsevier
This study evaluates extreme uncertainty connectedness among top global energy firms.
The sample comprises of 68 firms from four energy-related subsectors (oil & gas, oil & gas …