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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 …
Persistent link: https://www.econbiz.de/10011490564
In this note we present an updated algorithm to estimate the VAR with stochastic volatility proposed in Mumtaz (2018 …
Persistent link: https://www.econbiz.de/10012243290
This paper introduces a VAR with stochastic volatility in mean where the residuals of the volatility equations and the …
Persistent link: https://www.econbiz.de/10011812167
This study explores the benefits of incorporating fat-tailed innovations, asymmetric volatility response, and an extended information set into crude oil return modeling and forecasting. To this end, we utilize standard volatility models such as Generalized Autoregressive Conditional...
Persistent link: https://www.econbiz.de/10014252427