Estimating the quadratic covariation of an asynchronously observed semimartingale with jumps

Markus Bibinger & Mathias Vetter
We consider estimation of the quadratic (co)variation of a semimartingale from discrete observations which are irregularly spaced under high-frequency asymptotics. In the univariate setting, results from Jacod (2008) are generalized to the case of irregular observations. In the two-dimensional setup under non-synchronous observations, we derive a stable central limit theorem for the estimator by Hayashi and Yoshida (2005) in the presence of jumps. We reveal how idiosyncratic and simultaneous jumps affect the asymptotic distribution. Observation...
This data repository is not currently reporting usage information. For information on how your repository can submit usage information, please see our documentation.