Results 181 to 190 of about 3,586 (227)
Analyzing the impact of remittance, FDI and inflation rate on GDP: A comparative study of Bangladesh, Pakistan and Sri-Lanka using VAR and BEKK-GARCH approach. [PDF]
Jui FN +4 more
europepmc +1 more source
Testing for causality in variance using multivariate GARCH models [PDF]
Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties. In this paper we show that a convenient alternative to residual based testing is to specify a multivariate volatility model, such ...
Christian M. HAFNER, Helmut HERWARTZ
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Dynamic Factor Multivariate GARCH Model
SSRN Electronic Journal, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
André Alves Portela Santos +1 more
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Analytical Score for Multivariate GARCH Models [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Affine multivariate GARCH models
Journal of Banking & Finance, 2020Abstract This paper introduces a class of Affine multivariate GARCH models. Our setting offers flexibility to accommodate stylized facts of asset returns like dynamic conditional correlation and a covariance dependent pricing kernel. The model admits a closed-form recursive representation for the moment generating function under both historical and ...
Marcos Escobar-Anel +2 more
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A multivariate skew-garch model
2005Empirical research on European stock markets has shown that they behave differently according to the performance of the leading financial market identified as the US market. A positive sign is viewed as good news in the international financial markets, a negative sign means, conversely, bad news.
DE LUCA, GIOVANNI +2 more
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Robust M-Estimation of Multivariate GARCH models
SSRN Electronic Journal, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kris Boudt, Christophe Croux
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2003
When modeling multivariate economic and financial time series using vector autoregressive (VAR) models, squared residuals often exhibit significant serial correlation. For univariate time series, Chapter 7 indicates that the time series may be conditionally heteroskedastic, and GARCH models have been proved to be very successful at modeling the serial ...
Eric Zivot, Jiahui Wang
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When modeling multivariate economic and financial time series using vector autoregressive (VAR) models, squared residuals often exhibit significant serial correlation. For univariate time series, Chapter 7 indicates that the time series may be conditionally heteroskedastic, and GARCH models have been proved to be very successful at modeling the serial ...
Eric Zivot, Jiahui Wang
openaire +1 more source

