improved ex-post volatility measurements but has also inspired research into their potential value as an informa-tion source … for longer horizon volatility forecasts. In this paper we explore the forecasting value of these high fre-quency series in … conjunction with a variety of volatility models for returns on the Standard & Poor's 100 stock index. We consider two so …

the variance matrix. Monte Carlo evidence for parameter estimation based on different small sample sizes is provided. We …

-dimensional vector of financial returns. We identify common and idiosyncratic conditional volatility factors. The econometric framework … dimensionality. The relatively simple structure of the model leads to simple computations for the estimation of parameters and signal … conditional volatility factor are investigated by means of a Monte Carlo study. Finally, we illustrate our approach with two …

. They are applicable to the complete class of observation driven models and are valid for a wide range of estimation … that is embedded in the time-varying parameter path. We illustrate our findings in a volatility analysis for monthly …

the weighting of lagged squared innovations for the estimation of future correlations and volatilities. When we account …