August 14th, 2010, 5:53 pm
This review of realized volatility is quite recent (2008) and complete.Realized Volatility: A review This article reviews the exciting and rapidly expanding literature on realized volatility. Afterpresenting a general univariate framework for estimating realized volatilities, a simple discretetime model is presented in order to motivate the main results. A continuous time specificationprovides the theoretical foundation for the main results in this literature. Cases with and withoutmicrostructure noise are considered, and it is shown how microstructure noise can cause severeproblems in terms of consistent estimation of the daily realized volatility. Independent anddependent noise processes are examined. The most important methods for providing consistentestimators are presented, and a critical exposition of different techniques is given. The finitesample properties are discussed in comparison with their asymptotic properties. A multivariatemodel is presented to discuss estimation of the realized covariances. Various issues relating tomodelling and forecasting realized volatilities are considered. The main empirical findings usingunivariate and multivariate methods are summarized.Would be nice to know what is the estimator you use to use realized volatility ? (the traditionnal close to close measure, parkinson, Garman&Klaas, Rogers& Satchell, GARCh and the hundreds more I'm missing)