Additive Level Outliers in Multivariate GARCH Models

2014 ◽  
pp. 247-255 ◽  
Author(s):  
Aurea Grané ◽  
Helena Veiga ◽  
Belén Martín-Barragán
Keyword(s):  
Multivariate Garch ◽  
Garch Models ◽  
Multivariate Garch Models

scholarly journals bmgarch: An R-Package for Bayesian Multivariate GARCH models

2021 ◽  
Vol 6 (64) ◽  
pp. 3452
Author(s):  
Philippe Rast ◽  
Stephen Martin
Keyword(s):  
R Package ◽  
Multivariate Garch ◽  
Garch Models ◽  
Multivariate Garch Models

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 Empirical Analysis of “Volatilitysurprise” between Dollar Exchange Rate and CRB Commodity Future Markets

2016 ◽  
Vol 8 (9) ◽  
pp. 117
Author(s):  
Ching-Chun Wei
Keyword(s):  
Exchange Rate ◽  
Multivariate Garch ◽  
Garch Models ◽  
Suitable Model ◽  
Dollar Exchange Rate ◽  
Short And Long Term ◽  
Multivariate Garch Models ◽  
Commodity Future ◽  
Equity Index

This paper used the five multivariate GARCH models (including BEKK, CCC, DCC, VARMA-CCC and VARMA-DCC) to analyze the mean and volatility interaction of volatility surprise between US dollar exchange and CRB future index (including agricultural, energy, commodity and precious metal equity index). The empirical findings exhibit that significant own short and long-term persistence effects and the cross-markets volatility surprise spillover short and long-term persistence effects between dollar exchange rate and CRB commodity future equity index markets in five multivariate GARCH models. Besides that, the residual diagnostic test indicated that VARMA-DCC models is the best suitable model to modeling the dollar exchange rate with CRB commodity equity index.

Affine multivariate GARCH models

2020 ◽  
Vol 118 ◽  
pp. 105895
Author(s):  
Marcos Escobar-Anel ◽  
Javad Rastegari ◽  
Lars Stentoft
Keyword(s):  
Multivariate Garch ◽  
Garch Models ◽  
Multivariate Garch Models

scholarly journals Forecasting crude oil and refined products volatilities and correlations: New evidence from fractionally integrated multivariate GARCH models

2020 ◽  
Vol 88 ◽  
pp. 104757
Author(s):  
Malvina Marchese ◽  
Ioannis Kyriakou ◽  
Michael Tamvakis ◽  
Francesca Di Iorio
Keyword(s):  
Crude Oil ◽  
Multivariate Garch ◽  
Garch Models ◽  
Multivariate Garch Models ◽  
New Evidence
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