This paper presents a new stochastic volatility model which allows for persistent shifts in volatility of stock market returns, referred to as structural breaks. These shifts are endogenously driven by large return shocks (innovations), reflecting large pieces of market news. These shocks are...

This paper evaluates the VaR forecasting performance of the Markov regime switching (MRS) based volatility models, allowing for EGARCH effects. As is argued in the literature, this extension of the MRS model model may improve its forecasting performance due to its ability to capture leverage...