Tail risk forecasting using Bayesian realized EGARCH models

Vica Tendenan, Richard Gerlach, Chao Wang

This paper develops a Bayesian framework for the realized exponential generalized autoregressive conditional heteroskedasticity (realized EGARCH) model, which can incorporate multi…