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Varying Coefficient GARCH Models
2009This paper offers a new method for estimation and forecasting of the volatility of financial time series when the stationarity assumption is violated. We consider varying–coefficient parametric models, such as ARCH and GARCH, whose coefficients may arbitrarily vary with time.
Cizek, P., Spokoiny, V.
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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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Comparison of Specification Tests for GARCH Models
SSRN Electronic Journal, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kilani Ghoudi, Bruno N. Rémillard
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Comparison of BEKK GARCH and DCC GARCH Models: An Empirical Study
2010Modeling volatility and co-volatility of a few zero-coupon bonds is a fundamental element in the field of fix-income risk evaluation. Multivariate GARCH model (MGARCH), an extension of the well-known univariate GARCH, is one of the most useful tools in modeling the co-movement of multivariate time series with time-varying covariance matrix. Grounded on
Yiyu Huang, Wenjing Su, Xiang Li 0033
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2006
A GARCH-type model for non-leading financial market returns is considered.The innovation consists in assuming the returns to depend on the sign of the leading financial market in the world. Under standard assumption, the conditional distribution of the returns turns out to be a Skew-t random variate.
DE LUCA, GIOVANNI, LOPERFIDO N.
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A GARCH-type model for non-leading financial market returns is considered.The innovation consists in assuming the returns to depend on the sign of the leading financial market in the world. Under standard assumption, the conditional distribution of the returns turns out to be a Skew-t random variate.
DE LUCA, GIOVANNI, LOPERFIDO N.
openaire +2 more sources
Empirical investigation on modeling solar radiation series with ARMA–GARCH models
Energy Conversion and Management, 2015Jianzhong Zhou, Huaiwei Sun
exaly

