Value-at-Risk forecasting using high-frequency data

The aim of the paper is to accomplish a literature review with regard to different approaches to volatility and Value-at-Risk forecasting. In particular, the attention will focus on time series models that exploit the increasing availability and informative power of high-frequency information. Afterwards, an empirical analysis concerning VaR forecast is carried out