Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Measuring crisis from climate risk spillovers in European electricity markets
This paper studies how climate risks spill over to European electricity markets across time
and frequency domains using the connectedness network approach. By introducing three …
and frequency domains using the connectedness network approach. By introducing three …
Unraveling Financial Interconnections: A Methodical Investigation into the Application of Copula Theory in Modeling Asset Dependence
H Xu, J Chen, H Lin, P Yu - European Academic Journal-II …, 2024 - eaj.ebujournals.lu
Copula theory, a branch of statistics and probability theory, focuses on characterizing and
modeling the dependency structures between random variables. Within finance, copulas …
modeling the dependency structures between random variables. Within finance, copulas …
Tail risk contagion across electricity markets in crisis periods
This study examines tail risk contagion across returns series of (i) ten major electricity
markets and (ii) five raw materials used for electricity production during crises, using data …
markets and (ii) five raw materials used for electricity production during crises, using data …
A static and dynamic copula-based ARIMA-fGARCH approach to determinants of carbon dioxide emissions in Argentina
This paper attempts to model both static and dynamic dependence structures and measure
impacts of energy consumptions (both renewable (EC) and non-renewable (REN) energies) …
impacts of energy consumptions (both renewable (EC) and non-renewable (REN) energies) …
[HTML][HTML] Survey on modeling of temporally and spatially interdependent uncertainties in renewable power systems
Constructing a renewable energy-based power system has become an important
development path for the power industry's low-carbon transformation. However, as the …
development path for the power industry's low-carbon transformation. However, as the …
[HTML][HTML] COVID-19 and commodity effects monitoring using financial & machine learning models
Y Shah, Y Liu, F Shah, F Shah, MI Satti, E Asenso… - Scientific African, 2023 - Elsevier
This article focuses on examining the effects of the COVID-19 pandemic and gold prices on
the stock market. It primarily analyzes the relationship between COVID-19 cases and stock …
the stock market. It primarily analyzes the relationship between COVID-19 cases and stock …
Dynamic volatility spillover and market emergency: Matching and forecasting
W Zhou, Y Chen, J Chen - The North American Journal of Economics and …, 2024 - Elsevier
Volatility spillover can cause successive and similar volatilities in different markets even
financial or economic crises. Many related studies have been presented to analyze it from …
financial or economic crises. Many related studies have been presented to analyze it from …
Risk Spillover Effects between the US and Chinese Green Bond Markets: A Threshold Time-Varying Copula-GARCHSK Approach
Q Wang, X Li - Computational Economics, 2024 - Springer
This paper develops a novel time-varying Copula model that conducts a GARCHSK model
for marginal modeling and comprises threshold variables to model the joint distribution of …
for marginal modeling and comprises threshold variables to model the joint distribution of …
Understanding relationships with the Aggregate Zonal Imbalance using copulas
F Durante, A Gatto, F Ravazzolo - Statistical Methods & Applications, 2024 - Springer
In the Italian electricity market, we analyze the Aggregate Zonal Imbalance, which is the
algebraic sum, changed in sign, of the amount of energy procured by the Italian national …
algebraic sum, changed in sign, of the amount of energy procured by the Italian national …
Spatial modeling under small sample sizes in unconventional sweet-spots map** using spatial copula
Q Zhang, S Mi, Z Wen, Z Wang - Modeling Earth Systems and Environment, 2024 - Springer
Sweet-spots map** (SM) mainly focused on searching prospective areas that have the
highest potential. However, the accuracy of SM is typically subject to the predicting ability of …
highest potential. However, the accuracy of SM is typically subject to the predicting ability of …