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AI-powered models for overcrowding prediction at TUMS hospitals. [PDF]
Shaibani MJ +4 more
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Carbon market price prediction in the Yangtze River Basin based on improved deep learning ensemble model with CEEMDAN and Attention-RNN. [PDF]
Lu Z, Cao Z, Xiang Z, Li J, Li M.
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A comparison of multivariate GARCH models with respect to Value at Risk
Victor Boman
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Heterogeneous macroeconomic factors' effects on stocks across sizes, styles, and sectors in the South Korean market. [PDF]
Cho C, Yang J, Jang B.
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Systemic risk measurement in the Eurozone - A multivariate GARCH estimation of CoVaR
Christian Vogl
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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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Dynamic Factor Multivariate GARCH Model
SSRN Electronic Journal, 2012zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Santos, André A. P. +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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