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 … forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the assumptions of jumping …

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 … these two family forecasting-volatility models, comparing their performance (in terms of Value at Risk, VaR) under the …

We provide empirical evidence of volatility forecasting in relation to asymmetries present in the dynamics of both … return and volatility processes. Using recently-developed methodologies to detect jumps from high frequency price data, we … variation. The leverage effect is separated into continuous and discontinuous effects, and past volatility is separated into …

Puzzling deviations from the predictions of rational finance theory have been extensively documented empirically. In … this paper, we offer an explanation for one of these anomalies, the “excess volatility puzzle”, i.e. the observation that … inefficient) excess component. The endogenously induced excess volatility is found to be substantial, largely stable at longer …