Abstract
In this study, we introduce the regime changes to the heterogeneous autoregressive realized range-based volatility model (HAR-RRV). The different regimes are specified depending on the expectations of volatility of RRV volatility. Our out-of-sample findings indicate that considering regime switching can significantly improve the forecasting accuracy of volatility models.
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