The Value at Risk approach (VaR) is more and more used as a tool for risk measurement. The approach however has … shortcomings both from a theoretical and a practical point of view. VaR can be classified within existing concepts of risk … measurement: it is particularly interpretable as a special measure of shortfall risk. From that point of view VaR will be extended …

This paper investigates whether codependence restrictions can be uniquely imposed on VAR and VEC models via the so …

We derive a framework for asymptotically valid inference in stable vector autoregressive (VAR) models with conditional … heteroskedasticity of unknown form. We prove a joint central limit theorem for the VAR slope parameter and innovation covariance … parameter estimators and address bootstrap inference as well. Our results are important for correct inference on VAR statistics …