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Measuring persistence in volatility spillovers

Conrad, Christian; Weber, Enzo - 2013

This paper analyzes volatility spillovers in multivariate GARCH-type models. We show that the cross-effects between the … conditional variances determine the persistence of the transmitted volatility innovations. In particular, the effect of a foreign … volatility innovation on a conditional variance is even more persistent than the effect of an own innovation unless it is offset …

Persistent link: https://www.econbiz.de/10009771200

Long memory dynamics for multivariate dependence under heavy tails

Janus, Paweł; Koopman, Siem Jan; Lucas, André - 2011

Persistent link: https://www.econbiz.de/10009720703

Realized Wishart-GARCH : a score-driven multi-Asset volatility model

Hansen, Peter Reinhard; Janus, Paweł; Koopman, Siem Jan - 2016

We propose a novel multivariate GARCH model that incorporates realized measures for the variance matrix of returns. The key novelty is the joint formulation of a multivariate dynamic model for outer-products of returns, realized variances and realized covariances. The updating of the variance...

Persistent link: https://www.econbiz.de/10011520881

Volatility spillover and multivariate volatility impulse response analysis of GFC news events

Allen, David E.; McAleer, Michael; Powell, Robert; … - 2016

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 from the Oxford Man RV library, running from the beginning of 2000 to …) and the subsequent European Sovereign Debt Crisis (ESDC). The spillover index captures the transmission of volatility to …

Persistent link: https://www.econbiz.de/10011556166

A Dynamic Multivariate Heavy-Tailed Model for Time-Varying Volatilities and Correlations

Creal, Drew - 2010

We propose a new class of observation-driven time-varying parameter models for dynamic volatilities and correlations to handle time series from heavy-tailed distributions. The model adopts generalized autoregressive score dynamics to obtain a time-varying covariance matrix of the multivariate...

Persistent link: https://www.econbiz.de/10013146598

DCC-HEAVY : a multivariate GARCH model with realized measures of variance and correlation

Xu, Yongdeng - 2019

This paper proposes a new class of multivariate volatility model that utilising high-frequency data. We call this model …

Persistent link: https://www.econbiz.de/10012009351

Multivariate GARCH Models

Silvennoinen, Annastiina - 2008

This article contains a review of multivariate GARCH models. Most common GARCH models are presented and their properties considered. This also includes nonparametric and semiparametric models. Existing specification and misspecification tests are discussed. Finally, there is an empirical example...

Persistent link: https://www.econbiz.de/10012723997

Shortcomings of a parametric VaR approach and nonparametric improvements based on a non-stationary return series model

Gürtler, Marc; Rauh, Ronald - 2009 - This Version: 2009-09-09

A non-stationary regression model for financial returns is examined theoretically in this paper. Volatility dynamics …. -- heteroscedastic asset returns ; non-stationarity ; nonparametric regression ; volatility ; innovation modelling ; asymmetric heavy …

Persistent link: https://www.econbiz.de/10009487233

Estimation and inference for varying-coeffcient models with nonstationary regressors using penalized splines

Chen, Haiqiang; Fang, Ying; Li, Yingxing - 2013

This paper considers estimation and inference for varying-coefficient models with nonstationary regressors. We propose a nonparametric estimation method using penalized splines, which achieves the same optimal convergence rate as kernel-based methods, but enjoys computation advantages. Utilizing...

Persistent link: https://www.econbiz.de/10009767261

Testing missing at random using instrumental variables

Breunig, Christoph - 2015

This paper proposes a test for missing at random (MAR). The MAR assumption is shown to be testable given instrumental variables which are independent of response given potential outcomes. A nonparametric testing procedure based on integrated squared distance is proposed. The statistic’s...

Persistent link: https://www.econbiz.de/10010503886