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Short-term effect of COVID-19 pandemic on cryptocurrency markets: A DCC-GARCH model analysis. [PDF]
This research examines the impact of the coronavirus index on the returns and volatility of ten major cryptocurrencies during the COVID-19 pandemic. For this purpose, we applied a multivariate volatility GARCH model with an integrated dynamic conditional correlation (DCC) approach to daily cryptocurrency values observed data during the January-December,
Ben-Ahmed K, Theiri S, Kasraoui N.
europepmc +4 more sources
On the hedge and safe-haven abilities of bitcoin and gold against blue economy and green finance assets during global crises: Evidence from the DCC, ADCC and GO-GARCH models. [PDF]
This paper investigates the diversification, hedging, and safe-haven capabilities of Bitcoin and gold against blue economy and green finance assets using three different MGARCH models (DCC, ADCC, and GO-GARCH) during adverse events such as the COVID-19 ...
Manzli YS +4 more
europepmc +2 more sources
Alzheimer's disease (AD) has a prolonged latent phase. Sensitive biomarkers of amyloid beta ($A\beta$), in the absence of clinical symptoms, offer opportunities for early detection and identification of patients at risk. Current $A\beta$ biomarkers, such
Kun Yue +4 more
doaj +3 more sources
Calculating Value at Risk: DCC-GARCH-Copula Approach [PDF]
In this paper, in order to calculate portfolio market risk of 10 selected industries indices in Tehran Stock Exchange, two models of Value Risk (VaR) and Expected shortfall (ES) have been used.
Reza Taleblou, Mohammad Mahdi Davoudi
doaj +1 more source
Application of futures in calculating optimal hedge ratio in crude oil market: Comparison between static and dynamic approaches [PDF]
Futures are used as the most important risk hedge tools to reduce the risk of the crude oil market. The optimal hedging risk strategy is determined by calculating the optimal hedging risk ratio.
Simin Aleali +3 more
doaj +1 more source
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
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
On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models
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
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
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

