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Structural vector autoregressions with heteroskedasticity : a comparison of different volatility models
Lütkepohl, Helmut; Netšunajev, Aleksei - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010501257
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Structural vector autoregressions with heteroskedasticity : a comparison of different volatility models
Lütkepohl, Helmut; Netšunajev, Aleksei - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of di erent models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010503909
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Structural vector autoregressions with heteroskedasticity : a comparison of different volatility models
Lütkepohl, Helmut; Netšunajev, Aleksei - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10010509631
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Structural Vector Autoregressions with Heteroskedasticity - A Comparison of Different Volatility Models
Luetkepohl, Helmut - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10013023197
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Structural Vector Autoregressions with Heteroskedasticity : A Comparison of Different Volatility Models
Luetkepohl, Helmut - 2015
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive (VAR) analysis. A number of different models for heteroskedasticity or conditional heteroskedasticity are proposed and used in applications in this context. This study reviews the...
Persistent link: https://www.econbiz.de/10013024767
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The response of stock market volatility to futures-based measures of monetary policy shocks
Gospodinov, Nikolaj; Jamali, Ibrahim - 2014
In this paper, we investigate the dynamic response of stock market volatility to changes in monetary policy. Using a vector autoregressive model, our findings reveal a significant and asymmetric response of stock returns and volatility to monetary policy shocks. Although the increase in the...
Persistent link: https://www.econbiz.de/10010395968
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Volatility spillover and multivariate volatility impulse response analysis of GFC news events
Allen, David E.; McAleer, Michael; Powell, Robert; … - 2016
). The third shock is 9 May 2010. Our modelling includes leverage and asymmetric effects undertaken in the context of a …
Persistent link: https://www.econbiz.de/10011556166
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Macroeconomic and financial effects of oil price shocks : evidence for the Euro area
Morana, Claudio - 2016
following the slump points to the accommodation of the shock by the ECB, concurrent with the implementation of the Quantitative …
Persistent link: https://www.econbiz.de/10011451685
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Oil price shocks and stock return volatility : new evidence based on volatility impulse response analysis
Eraslan, Sercan; Ali, Faek Menla - 2018
We use volatility impulse response analysis estimated from the bivariate GARCH-BEKK model to quantify the size and the persistence of different types of oil price shocks on stock return volatility and the covariance between oil price changes and stock returns for a wide range of net...
Persistent link: https://www.econbiz.de/10011903691
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Identifying shocks via time-varying volatility
Lewis, Daniel J. - 2018
An n-variable structural vector auto-regression (SVAR) can be identified (up to shock order) from the evolution of the … process. I propose a new identification argument that identifies the SVAR up to shock orderings using the autocovariance … structure of second moments of the residuals implied by an arbitrary stochastic process for the shock variances. These higher …
Persistent link: https://www.econbiz.de/10011926201