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volatility and Student-t disturbances outperforms restricted alternatives that feature either attributes. The VAR model with …
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methods. The effects ofseveral modelcharacteristics (unit roots, GARCH, stochastic volatility, heavy taileddisturbance …
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Cholesky multivariate stochastic volatility model.It establishes that systematically different dynamic restrictions are imposed … divergent when volatility clusters idiosyncratically.It is illustrated that this property is important for empirical … indicate that conclusions may critically hinge on a selectedordering of variables. The dynamic correlation Cholesky …
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Cholesky multivariate stochastic volatility model. It establishes that systematically different dynamic restrictions are … divergent when volatility clusters idiosyncratically. It is illustrated that this property is important for empirical … indicate that conclusions may critically hinge on a selected ordering of variables. The dynamic correlation Cholesky …
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This chapter reviews Bayesian methods for inference and forecasting with VAR models. Bayesian inference and, by extension, forecasting depends on numerical methods for simulating from the posterior distribution of the parameters and special attention is given to the implementation of the...
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predictors, where robust stands for the use of mixtures of proper conjugate priors. Concerning dynamic analysis, volatility …
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