volatility. In this sense, we extend recent papers by Andersen, Bollerslev, Diebold and Labys (2003), and by Andersen, Bollerslev … and Meddahi (2004, 2005), who address the issue of pointwise prediction of volatility via ARMA models, based on the use of … realized volatility. Our approach is to use a realized volatility measure to construct a non parametric (kernel) estimator of …

on high-frequency stock trading volumes and realized volatility forecasts demonstrate the usefulness of the proposed …

the Efficient Method of Moments implemented to estimatestochastic volatility models this will surely be the case … method of momentstechnique for a broad range of univariate stochastic volatility models. As a side effect of the … volatility models. It describes the program. Some examples are given from other workof the author. Technicalities are given in …

This paper revisits the fractional co-integrating relationship between ex-ante implied volatility and ex-post realized … volatility. Previous studies on stock index options have found biases and inefficiencies in implied volatility as a forecast of … future volatility. It is argued that the concept of corridor implied volatility (CIV) should be used instead of the popular …

We investigate a model in which we connect slowly time varying unconditional long-run volatility with short …-run conditional volatility whose representation is given as a semi-strong GARCH (1,1) process with heavy tailed errors. We focus on … robust estimation of both long-run and short-run volatilities. Our estimation is semiparametric since the long-run volatility …

This paper explores the volatility forecasting implications of a model in which the friction in high-frequency prices … is related to the true underlying volatility. The contribution of this paper is to propose a framework under which the … realized variance may improve volatility forecasting if the noise variance is related to the true return volatility. The …

integrated volatility, from two-dimensional asynchronous observations for a bivariate spectral covolatility estimator and …

We introduce a statistical test for simultaneous jumps in the price of a financial asset and its volatility process … volatility jumps, we design and analyze a nonparametric spectral estimator of the spot volatility process. A simulation study and … important role played by price volatility co-jumps. …

We propose exible models for multivariate realized volatility dynamics which involve generalizations of the Box …

A two-step estimation method of stochastic volatility models is proposed. In the first step, we nonparametrically … estimate the (unobserved) instantaneous volatility process. In the second step, standard estimation methods for fully observed … diffusion processes are employed, but with the filtered/estimated volatility process replacing the latent process. Our …