Results 11 to 20 of about 18,925 (204)

Multivariate DCC-GARCH Model: -With Various Error Distributions

open access: yes, 2009
In this thesis we have studied the DCC-GARCH model with Gaussian, Student's $t$ and skew Student's t-distributed errors. For a basic understanding of the GARCH model, the univariate GARCH and multivariate GARCH models in general were discussed before the DCC-GARCH model was considered.
Orskaug, Elisabeth
openaire   +2 more sources

Value-at-Risk Analysis for Measuring Stochastic Volatility of Stock Returns: Using GARCH-Based Dynamic Conditional Correlation Model

open access: yesSAGE Open, 2021
To assess the time-varying dynamics in value-at-risk (VaR) estimation, this study has employed an integrated approach of dynamic conditional correlation (DCC) and generalized autoregressive conditional heteroscedasticity (GARCH) models on daily stock ...
Fahim Afzal   +4 more
doaj   +1 more source

On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models

open access: yesMathematics, 2020
This paper examines the relationship of the leading financial assets, Bitcoin, Gold, and S&P 500 with GARCH-Dynamic Conditional Correlation (DCC), Nonlinear Asymmetric GARCH DCC (NA-DCC), Gaussian copula-based GARCH-DCC (GC-DCC), and Gaussian copula ...
Jong-Min Kim, Seong-Tae Kim, Sangjin Kim
doaj   +1 more source

Cryptocurrencies Intraday High-Frequency Volatility Spillover Effects Using Univariate and Multivariate GARCH Models

open access: yesInternational Journal of Financial Studies, 2022
Over the past years, cryptocurrencies have drawn substantial attention from the media while attracting many investors. Since then, cryptocurrency prices have experienced high fluctuations. In this paper, we forecast the high-frequency 1 min volatility of
Apostolos Ampountolas
doaj   +1 more source

Evaluating the Efficiency of Financial Assets as Hedges against Bitcoin Risk during the COVID-19 Pandemic

open access: yesMathematics, 2023
In the turbulent landscape of financial markets, Bitcoin has emerged as a significant focus for investors due to its highly volatile returns. However, the risks and uncertainties associated with it necessitate effective hedging strategies.
Li Wei   +4 more
doaj   +1 more source

Which Commodity Sectors Effectively Hedge Emerging Eastern European Stock Markets? Evidence from MGARCH Models

open access: yesCommodities, 2023
This study aims at examining whether hedging emerging Eastern Europe stock markets with commodities sectors can help in reducing market risks and whether it has the same effectiveness among different sectors.
Amel Melki, Ahmed Ghorbel
doaj   +1 more source

Robust dispatching model of active distribution network considering PV time-varying spatial correlation

open access: yesFrontiers in Energy Research, 2023
With a high proportion of photovoltaic (PV) connected to the active distribution network (ADN), the correlation and uncertainty of the PV output will significantly affect the grid dispatching operation.
Xin Ma, Han Wu, Yue Yuan
doaj   +1 more source

Dynamic relationships among green bonds, CO2 emissions, and oil prices

open access: yesFrontiers in Environmental Science, 2022
Green bonds play a pivotal role in the financing of sustainable infrastructure systems. Likewise, CO2 emissions and oil prices can cause an impact on the green bonds market.
Nini Johana Marín-Rodríguez   +2 more
doaj   +1 more source

Volatility impulse response analysis for DCC‐GARCH models: The role of volatility transmission mechanisms [PDF]

open access: yesJournal of Forecasting, 2020
AbstractThis study introduces volatility impulse response functions (VIRF) for dynamic conditional correlation–generalized autoregressive conditional heteroskedasticity (DCC‐GARCH) models. In addition, the implications with respect to network analysis—using the connectedness approach of Diebold and Y lmaz (Journal of Econometrics, 2014, 182(1), 119–134)
openaire   +3 more sources

The impact of world oil and food price shocks on the interdependence of Brazil and Russia: SVAR-DCC-GARCH model [PDF]

open access: yesBRICS Journal of Economics, 2021
This study seeks to identify the extent to which global oil and food price volatilities affected the interdependence of the Brazilian and Russian economies in the period from 1996 to 2021. The ARCH/GARCH framework was used to model the volatility of oil and food prices.
Bhebhe,Samkelisiwe, Ndlovu,Ian
openaire   +2 more sources

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