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, Thailand and Brazil - in the Cointegrated Vector-Autoregressive (CVAR) framework. The main purpose is to assess empirifcally if …
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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...
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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/10010364697
confirm the shock labeling for Japan. Through historical decompositions we observe that stock prices tended to be undervalued …
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