Estimation of Volatility and Correlation with Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models: An Application to Moroccan Stock Markets
Volatility and correlation are important metrics of risk evaluation for financial markets worldwide. The latter have shown that these tools are varying over time, thus, they require an appropriate estimation models to adequately capture their dynamics. Multivariate GARCH models were developed for th...
Main Authors: | Yassine Belasri, Rachid Ellaia |
---|---|
Format: | Article |
Language: | English |
Published: |
EconJournals
2017-06-01
|
Series: | International Journal of Economics and Financial Issues |
Subjects: | |
Online Access: | https://dergipark.org.tr/tr/pub/ijefi/issue/32035/354502?publisher=http-www-cag-edu-tr-ilhan-ozturk |
Similar Items
-
Volatility Spillovers between Equity and Green Bond Markets
by: Daehyeon Park, et al.
Published: (2020-05-01) -
Volatility Spillovers between Energy and Agricultural Markets: A Critical Appraisal of Theory and Practice
by: Chia-Lin Chang, et al.
Published: (2018-06-01) -
An Application of Autoregressive Conditional Heteroskedasticity (Arch) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) Modelling on Taiwan's Time-Series Data: Three Essays
by: Chang, Tsangyao
Published: (1995) -
An Application of Autoregressive Conditional Heteroskedasticity (ARCH) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) Modelling on Taiwan's Time-Series Data: Three Essays
by: Chang, Tsangyao
Published: (1995) -
Is the Best Generalized Autoregressive Conditional Heteroskedasticity(p,q) Value-at-risk Estimate also the Best in Reality? An Evidence from Australian Interconnected Power Markets
by: Rangga Handika, et al.
Published: (2016-12-01)