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) analysis. Such restrictions are typically just-identifying but can be checked by utilizing changes in volatility. This paper … reviews and contrasts the volatility models that have been used for this purpose. Three main approaches have been used …, exogenously generated changes in the unconditional residual covariance matrix, changing volatility modelled by a Markov switching …
Persistent link: https://www.econbiz.de/10010233991
In structural vector autoregressive analysis identifying the shocks of interest via heteroskedasticity has become a standard tool. Unfortunately, the approaches currently used for modelling heteroskedasticity all have drawbacks. For instance, assuming known dates for variance changes is often...
Persistent link: https://www.econbiz.de/10010361372
We use a cointegrated structural vector autoregressive model to investigate the relation between euro area monetary policy and the stock market. Since there may be an instantaneous causal relation we consider long-run identifying restrictions for the structural shocks and also use (conditional)...
Persistent link: https://www.econbiz.de/10011810177
restrictions for the impulse responses. In a number of articles changes in the volatility of the shocks have also been used for …
Persistent link: https://www.econbiz.de/10009688810
A growing literature uses changes in residual volatility for identifying structural shocks in vector autoregressive … in applications in this context. This study reviews the different volatility models and points out their advantages and …
Persistent link: https://www.econbiz.de/10010501257
for time-varying volatility in the context of structural vector autoregressive analysis is investigated. Although it can … be difficult to find the true volatility model with the selection criteria, using them is recommended because they can … whether time-varying volatility is present but do not discriminate well between different types of volatility changes. The …
Persistent link: https://www.econbiz.de/10011669909
We consider structural vector autoregressions identified through stochastic volatility. Our focus is on whether a …
Persistent link: https://www.econbiz.de/10014528602