Volatility Co-Movement between Bitcoin and Stablecoins: BEKK–GARCH and Copula–DCC–GARCH Approaches
This paper aims to investigate and measure Bitcoin and the five largest stablecoin market volatilities by incorporating various range-based volatility estimators to the BEKK- GARCH and Copula-DCC-GARCH models.
Shen-Ho Chang, Chen Kuo Shing
exaly +4 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 +3 more sources
Analysis of Multivariate-GARCH via DCC Modelling [PDF]
Conditional correlation between financial time series plays an important role in risk management, asset allocation and portfolio selection and therefore diverse efforts for modeling conditional correlations in multivariate-GARCH processes have been made in last two decades. In particular, CCC (cf.
S Y Hwang, M S Choi
exaly +2 more sources
East Asian Financial Contagion under DCC-Garch
We consider the definition and measurement of contagion by analysing the 1997 East Asian financial crisis in the equity markets of eight countries using dynamic conditional correlation (DCC).
J. H. Cho, Ali M. Parhizgari
doaj +3 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 ...
Yasmine Snene Manzli +4 more
doaj +2 more sources
Using Multivariate Dynamic Conditional Correlation GARCH model to analysis financial market data [PDF]
In financial markets, understanding the dynamic relationships between assets is crucial for effective portfolio management. This study highlights the importance of using the DCC-GARCH (Dynamic Conditional Correlation - Generalized Autoregressive ...
Fatma Alshenawy, Doaa A. Abdo
doaj +1 more source
Are GARCH and DCC Values of 10 Cryptocurrencies Affected by COVID-19? [PDF]
This paper examines the dynamic conditional correlations among 10 cryptocurrencies and the possibility of hedging investment strategies among multiple cryptocurrencies over the period affected by COVID-19 from 2017 to 2022. After studying the relationship between Bitcoin, Ethereum, and the other eight cryptocurrencies, four main results were obtained ...
Kejia Yan, Huqin Yan, Rakesh Gupta
openaire +3 more sources
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
Identifying the Role of Gold on Sustainable Investment in Indonesia: The DCC-GARCH Approach [PDF]
This research investigated the performance of a dynamic portfolio that consists of sustainable/ethical stocks and gold. The main purpose of this study is to prove that the inclusion of gold in sustainable/ethical stocks portfolios could produce better performance.
Robiyanto Robiyanto +4 more
openaire +3 more sources
The Covid-19 pandemic increased uncertainty in the Indonesian stock market. This paper aims to investigate foreign and domestic investors' behavior in the Indonesian stock market, especially during the Covid-19 pandemic.
Reffi Marizka Dewi +2 more
doaj +1 more source

