Forecasting-volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer of many … limitations. HF data feature microstructure problem, such as the discreteness of the data, the properties of the trading mechanism …

assumptions of jumps in prices and leverage effects for volatility. Findings suggest that daily-data models are preferred to HF …Forecasting volatility models typically rely on either daily or high frequency (HF) data and the choice between these … two categories is not obvious. In particular, the latter allows to treat volatility as observable but they suffer from …

- and out-of-sample, using predictive variables such as the dividend yield or the volatility risk premium …