Affiliation:
1. Department of Statistics, Computer Science Applications University of Florence Florence Italy
2. New York University in Florence Florence Italy
3. CRENoS Cagliari Italy
4. Department of Economics University of Messina Messina Italy
Abstract
In this paper, we maintain that the evolution of the realized volatility is characterized by a combination of high‐frequency dynamics and smoother, yet persistent, dynamics evolving at a lower frequency. We suggest a new Multiplicative Error Model which combines the mixed frequency features of a MIDAS at the monthly level with Markovian dynamics at the daily level. When estimated in‐sample on the realized kernel volatility of the S&P500 index, this model dominates other simpler specifications, especially when monthly aggregated realized 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 quick bursts of volatility and a relatively rapid absorption of the shocks.
Funder
Ministero dell'Università e della Ricerca
Subject
Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability
Cited by
1 articles.
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