In this paper we remark that the evolution of the realized volatility is characterized by a combination between high–frequency dynamics and a smoother persistent dynamics evolving at a lower–frequency. We suggest a new Multiplicative Error Model which combines the mixed frequency features of a MIDAS with Markovian dynamics. When estimated in–sample on the realized kernel volatility of the S&P500 index, this model dominates other simpler specifications, especially when monthly aggregatedrealized volatility is used. The same pattern is confirmed in the out–of–sample forecasting performance which suggests that adding an abrupt change in the average level of volatility better helps in tracking extreme episodes of volatility and a relative quick absorption of the shocks.
Smooth and abrupt dynamics in financial volatility: the Ms-Mem-Midas
Scaffidi Domianello, Luca;Otranto, Edoardo
2022-01-01
Abstract
In this paper we remark that the evolution of the realized volatility is characterized by a combination between high–frequency dynamics and a smoother persistent dynamics evolving at a lower–frequency. We suggest a new Multiplicative Error Model which combines the mixed frequency features of a MIDAS with Markovian dynamics. When estimated in–sample on the realized kernel volatility of the S&P500 index, this model dominates other simpler specifications, especially when monthly aggregatedrealized volatility is used. The same pattern is confirmed in the out–of–sample forecasting performance which suggests that adding an abrupt change in the average level of volatility better helps in tracking extreme episodes of volatility and a relative quick absorption of the shocks.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
