English
This study develops new realized volatility and correlation estimators which, while fully exploiting all the available information contained in tick-by-tick data, effectively correct for the bias induced by microstructure effects. Building on such high frequency measures, it also proposes new conditional volatility models able to provide accurate and easy-to-implement volatility forecasts.