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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 …
Persistent link: https://www.econbiz.de/10012250452
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 …
Persistent link: https://www.econbiz.de/10012424283
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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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stochastic volatility. Estimation of the model delivers measures of daily variation outperforming their non …When analysing the volatility related to high frequency financial data, mostly non-parametric approaches based on …
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