Results 1 to 10 of about 5,852 (226)
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]
PLoS OneThis 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
Calculating Value at Risk: DCC-GARCH-Copula Approach [PDF]
فصلنامه پژوهشهای اقتصادی ایران, 2020 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]
مدلسازی اقتصادسنجی, 2020 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
SAGE 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
International 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
On the Relationship of Cryptocurrency Price with US Stock and Gold Price Using Copula Models
Mathematics, 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
Mathematics, 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
Commodities, 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
Frontiers 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
Frontiers 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