We develop a discrete-time stochastic volatility option pricing model, which exploits the informationcontained in high-frequency data. The Realized Volatility (RV) is used as a proxy of the unobservablelog-returns volatility. We model its dynamics by a simple but effective long-memory process:...

We propose a simple but effective estimation procedure to extract the level and the volatilitydynamics of a latent macroeconomic factor from a panel of observable indicators. Our approachis based on a multivariate conditionally heteroskedastic exact factor model that cantake into account the...