on estimates of the: (i) volatility of returns; and (ii) variance-covariance matrix of n. assets. We propose a Kalman … allows us to employ volatility estimators that achieve very low Root Mean Squared Errors (RMSEs) compared to other estimators …

volatility estimation. In particular, we use market microstructure theory to derive the cross-correlation function between latent … returns and market microstructure noise, which feature prominently in the recent volatility literature. The cross … regarding improved volatility estimation methods"--National Bureau of Economic Research web site …

This paper examines the degree of persistence in the volatility of financial time series using a Long Memory Stochastic … Volatility (LMSV) model. Specifically, it employs a Gaussian semiparametric (or local Whittle) estimator of the memory parameter … volatility has a component of long- memory behaviour, the order of integration ranging between 0.3 and 0.5, the series being …

reflect information-driven and noise-induced volatilities. We find that all volatility components reveal distinct dynamics and … significantly declines thereafter. Moreover, news-affected responses in all volatility components are influenced by order flow … imbalances. -- efficient return ; macroeconomic announcements ; microstructure noise ; informational volatility …