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Non-Gaussian dynamic Bayesian modelling for panel data (replication data)
A first order autoregressive non-Gaussian model for analysing panel data is proposed. The main feature is that the model is able to accommodate fat tails and also skewness, thus... -
Long-run relations in European electricity prices (replication data)
This paper analyses the interdependencies existing in wholesale electricity prices in six major European countries. The results of a robust multivariate long-run dynamic... -
Forecast evaluation of small nested model sets (replication data)
We propose two new procedures for comparing the mean squared prediction error (MSPE) of a benchmark model to the MSPEs of a small set of alternative models that nest the... -
Continuous-time models, realized volatilities, and testable distributional im...
We provide an empirical framework for assessing the distributional properties of daily speculative returns within the context of the continuous-time jump diffusion models... -
Large Bayesian vector auto regressions (replication data)
This paper shows that vector auto regression (VAR) with Bayesian shrinkage is an appropriate tool for large dynamic models. We build on the results of De Mol and co-workers...
