Forecasting realized volatility: New evidence from time?varying jumps in VIX
نویسندگان
چکیده
Given that jumps in the implied volatility index (VIX) lead to rapid changes level of volatility, they may contain significant predictive information for realized variance (RV) stock returns. Against this backdrop, present study proposes extend heterogeneous autoregressive (HAR) model using content time-varying occurring VIX. We find VIX have positive impacts on RV S&P 500 and proposed HAR-RV approach generates more accurate forecasts than do existing type models. Importantly, these results hold short-, medium-, long-term components.
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ژورنال
عنوان ژورنال: Journal of Futures Markets
سال: 2022
ISSN: ['0270-7314', '1096-9934']
DOI: https://doi.org/10.1002/fut.22372