scholarly journals Testing the conditional correlations and volatility spillovers between US and ASEAN Islamic stock markets: A Multivariate GARCH Analysis

2015 ◽  
Vol 2 (1) ◽  
pp. 029
Author(s):  
Muhammad Rizky Prima Sakti
Keyword(s):  
Stock Markets ◽  
Multivariate Garch ◽  
Garch Models ◽  
Time Varying ◽  
Foreign Investors ◽  
Volatility Spillovers ◽  
The Us ◽  
Conditional Correlations ◽  
Multivariate Garch Models ◽  
Empirical Design

This study examines the conditional correlations and volatility spillovers between the US and ASEAN Islamic stock markets. The empirical design uses MSCI (Morgan Stanley Capital International) Islamic indexes as it adopted stringent restriction to include companies in sharia list. By using a three multivariate GARCH models (BEKK, diagonal VECH, and CCC model), we find evidence of returns and volatility spillovers from the US to the ASEAN Islamic stock markets. However, as the estimated time-varying conditional correlations and volatilities indicate there is still a room for diversification benefits, particularly in the single markets. The Islamic MSCI of Thailand, Indonesia, and Singapore are less correlate to the US MSCI Islamic index. The implication is that foreign investors may benefit from the reduction of risk by adding the Islamic stocks in those countries.

scholarly journals Modeling Mediterranean Stock Markets Volatility with Univariate and Multivariate Approaches

2021 ◽  
Vol 16 ◽  
pp. 457-468
Author(s):  
Saoussan Bouchareb ◽  
Mohamed Salah Chiadmi ◽  
Fouzia Ghaiti
Keyword(s):  
Stock Market ◽  
Strong Evidence ◽  
Stock Markets ◽  
Multivariate Garch ◽  
Garch Models ◽  
Volatility Spillovers ◽  
Daily Data ◽  
Multivariate Approaches ◽  
Multivariate Garch Models

In our study we use the univariate and multivariate GARCH models to analyze the volatility behavior of the daily data of four Mediterranean stock markets (Morocco, Turkey, Spain, and France) spanning the period 2000-2020. We find a strong evidence of persisting of volatility in each of these markets. Results also indicate that both the univariate and the multivariate approaches capture well the ARCH and GARCH effects. We analyze the conditional covariances, and co-volatility spillovers between the Moroccan stock market and the three other Mediterranean stock markets. In order to study co-volatility spillovers, our work is built on the diagonal BEKK model especially the conditional covariances.

scholarly journals An application of multivariate GARCH models in research for the interaction of world financial markets

Equilibrium ◽  
2009 ◽  
Vol 2 (1) ◽  
pp. 61-68
Author(s):  
Tomasz Chruściński
Keyword(s):  
Financial Markets ◽  
Stock Markets ◽  
Multivariate Garch ◽  
Garch Models ◽  
Data Sets ◽  
Conditional Correlation ◽  
Main Emphasis ◽  
Multivariate Garch Models ◽  
Diagonal Vech

This article presents information about taxonometric methods in classification stock-markets and selected Multivariate GARCH models. The main emphasis is placed on which market (country) influences others. Research has been geared towards three kinds of measurement: diagonal VECH models, diagonal BEKK models and Constant Conditional Correlation. The results obtained for the DBEKK model is optimal for most data-sets.

scholarly journals Dynamic Spillover Between The Oil And Stock Markets Of Emerging Oil-Exporting Countries

2013 ◽  
Vol 30 (1) ◽  
pp. 51 ◽  
Author(s):  
Frederic Teulon ◽  
Khaled Guesmi
Keyword(s):  
Stock Market ◽  
Stock Returns ◽  
United Arab Emirates ◽  
Stock Markets ◽  
Oil Prices ◽  
Multivariate Garch ◽  
Time Varying ◽  
Global Business ◽  
Stock Market Returns ◽  
Volatility Spillovers

<p>The paper investigates the time-varying correlations between stock market returns and oil prices in oil-exporting countries. A multivariate GARCH-DCC process is employed to evaluate this relationship based on data from Venezuela, the United Arab Emirates, Saudi Arabia and Kuwait. The results show that there are time-varying correlations between the oil and stock markets in emerging, oil-producing countries, indicating that they are affected by conditions in world markets. In addition, the relationship between oil prices and stock returns is found to be influenced by the origin of shocks to oil prices, with stock market responses being stronger to demand-side shocks caused by political turmoil or fluctuations in the global business cycle than to supply-side shocks caused by cuts in oil production. The results also provide evidence of volatility spillovers between the oil and stock markets.</p>

Hedging stock market prices with WTI, Gold, VIX and cryptocurrencies: a comparison between DCC, ADCC and GO-GARCH models

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mohamed Fakhfekh ◽  
Ahmed Jeribi ◽  
Ahmed Ghorbel ◽  
Nejib Hachicha
Keyword(s):  
Stock Market ◽  
Stock Markets ◽  
Multivariate Garch ◽  
Garch Models ◽  
Hedging Strategy ◽  
Market Prices ◽  
Content Type ◽  
Hedge Ratios ◽  
Multivariate Garch Models ◽  
Optimal Hedge

PurposeIn a first place, the present paper is designed to examine the dynamic correlations persistent between five cryptocurrencies, WTI, Gold, VIX and four stock markets (SP500, FTSE, NIKKEI and MSCIEM). In a second place, it investigates the relevant optimal hedging strategy.Design/methodology/approachEmpirically, the authors examine how WTI, Gold, VIX and five cryptocurrencies can be applicable to hedge the four stock markets. Three variants of multivariate GARCH models (DCC, ADCC and GO-GARCH) are implemented to estimate dynamic optimal hedge ratios.FindingsThe reached findings prove that both of the Bitcoin and Gold turn out to display remarkable hedging commodity features, while the other assets appear to demonstrate a rather noticeable disposition to act as diversifiers. Moreover, the results show that the VIX turns out to stand as the most effectively appropriate instrument, fit for hedging the stock market indices various related refits. Furthermore, the results prove that the hedging strategy instrument was indifferent for FTSE and NIKKEI stock while for the American and emerging markets, the hedging strategy was reversed from the pre-cryptocurrency crash to the during cryptocurrency crash period.Originality/valueThe first paper's empirical contribution lies in analyzing emerging cross-hedge ratios with financial assets and compare hedging effectiveness within the period of crash and the period before Bitcoin crash as well as the sensitivity of results to refits choose to compare between short term hedging strategy and long-term one.

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