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A simple test for causality in volatility

Chang, Chia-Lin; McAleer, Michael - In: Econometrics 5 (2017) 1, pp. 1-5

An early development in testing for causality (technically, Granger non-causality) in the conditional variance (or volatility) associated with financial returns was the portmanteau statistic for non-causality in the variance of Cheng and Ng (1996). A subsequent development was the Lagrange...

Persistent link: https://www.econbiz.de/10011755368

A simple test for causality in volatility

Chang, Chia-Lin; McAleer, Michael - 2016

An early development in testing for causality (technically, Granger non-causality) in the conditional variance (or volatility) associated with financial returns, was the portmanteau statistic for non-causality in variance of Cheng and Ng (1996). A subsequent development was the Lagrange...

Persistent link: https://www.econbiz.de/10011556246

The fiction of Full BEKK

Chang, Chia-Lin; McAleer, Michael - 2017

The purpose of the paper is to show that univariate GARCH is not a special case of multivariate GARCH, specifically the Full BEKK model, except under parametric restrictions on the off-diagonal elements of the random coefficient autoregressive coefficient matrix, provides the regularity...

Persistent link: https://www.econbiz.de/10011587639

Profiteering from the dot-com bubble, sub-prime crisis and Asian financial crisis

McAleer, Michael; Suen, John; Wong, Wing Keung - 2013

Persistent link: https://www.econbiz.de/10009767005

Asymmetry and leverage in conditional volatility models

McAleer, Michael - In: Econometrics 2 (2014) 3, pp. 145-150

The three most popular univariate conditional volatility models 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 exponential GARCH (or...

Persistent link: https://www.econbiz.de/10010421299

A one line derivation of EGARCH

McAleer, Michael; Hafner, Christian M. - In: Econometrics 2 (2014) 2, pp. 92-97

parameters are not available under general conditions, but rather only for special cases under highly restrictive and … unverifiable conditions. It is often argued heuristically that the reason for the lack of general statistical properties arises … (2) the reason for the lack of statistical properties of the estimators of EGARCH under general conditions is that the …

Persistent link: https://www.econbiz.de/10010421302

A one line derivation of EGARCH

McAleer, Michael; Hafner, Christian M. - 2014

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

Testing for parameter instability in competing modeling frameworks

Calvori, Francesco; Creal, Drew; Koopman, Siem Jan; … - 2014

We develop a new parameter stability test against the alternative of observation driven generalized autoregressive score dynamics. The new test generalizes the ARCH-LM test of Engle (1982) to settings beyond time-varying volatility and exploits any autocorrelation in the likelihood scores under...

Persistent link: https://www.econbiz.de/10010229896

A one line derivation of DCC : application of a vector random coefficient moving average process

Hafner, Christian M.; McAleer, Michael - 2014 - Revised: July 2014

One of the most widely-used multivariate conditional volatility models is the dynamic conditional correlation (or DCC) specification. However, the underlying stochastic process to derive DCC has not yet been established, which has made problematic the derivation of asymptotic properties of the...

Persistent link: https://www.econbiz.de/10010374571

On the invertibility of EGARCH

Martinet, Guillaume Gaetan; McAleer, Michael - 2014

parameters are not available under general conditions, but only for special cases under highly restrictive and unverifiable …

Persistent link: https://www.econbiz.de/10010384390