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One of the most popular univariate asymmetric conditional volatility models is the exponential GARCH (or EGARCH) specification. In addition to asymmetry, which captures the different effects on conditional volatility of positive and negative effects of equal magnitude, EGARCH can also...
Persistent link: https://www.econbiz.de/10010362978
parameters are not available under general conditions, but only for special cases under highly restrictive and unverifiable …
Persistent link: https://www.econbiz.de/10010384390
parameters are not available under general conditions, but only for special cases under highly restrictive and unverifiable …
Persistent link: https://www.econbiz.de/10010477092
In the class of univariate conditional volatility models, the three most popular are the generalized autoregressive conditional heteroskedasticity (GARCH) model of Engle (1982) and Bollerslev (1986), the GJR (or threshold GARCH) model of Glosten, Jagannathan and Runkle (1992), and the...
Persistent link: https://www.econbiz.de/10011688332
analysis. A Jordan decomposition of Σt is used to obtain independent and identically distributed innovations. A general issue …
Persistent link: https://www.econbiz.de/10011301206
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This note discusses some aspects of the paper by Hu and Tsay (2014), "Principal Volatility Component Analysis". The key issues are considered, and are also related to existing conditional covariance and correlation models. Some caveats are given about multivariate models of time-varying...
Persistent link: https://www.econbiz.de/10010250536
This paper applies two measures to assess spillovers across markets: the Diebold Yilmaz (2012) Spillover Index and the Hafner and Herwartz (2006) analysis of multivariate GARCH models using volatility impulse response analysis. We use two sets of data, daily realized volatility estimates taken...
Persistent link: https://www.econbiz.de/10011556166