Many recent modelling advances in finance topics ranging from the pricing of volatility-based derivative products to … number of recent papers have addressed volatility predictability, some from the perspective of the usefulness of jumps in … forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …

In this paper, we use factor-augmented HAR-type models to predict the daily integrated volatility of asset returns. Our … approach is based on a proposed two-step dimension reduction procedure designed to extract latent common volatility factors …, we apply either LASSO or elastic net shrinkage on estimates of integrated volatility of all constituents in the dataset …

contribution to overall realized variation and their contribution to predictive regressions of realized volatility. We find … individual stocks. -- Itô semi-martingale ; realized volatility ; jumps ; quadratic volatility ; multipower variation ; tripower …

In this paper, we review econometric methodology that is used to test for jumps and to decompose realized volatility …

contribution to overall realized variation and their contribution to predictive regressions of realized volatility. We find …

forecasts of daily integrated volatility. Our approach is based on a two-step shrinkage procedure designed to extract latent … common volatility factors from a large dimensional and high-frequency asset returns dataset. In the first step, we apply …, in order to estimate a latent return factor. This new factor is in turn utilized to construct a latent volatility factor …

Many recent modelling advances in finance topics ranging from the pricing of volatility-based derivative products to … number of recent papers have addressed volatility predictability, some from the perspective of the usefulness of jumps in … forecasting volatility. Key papers in this area include Andersen, Bollerslev, Diebold and Labys (2003), Corsi (2004), Andersen …