2014/08/16 by Markus Bibinger, Bibinger, Markus, Moritz Jirak +3
Mathematics · #FOS: Mathematics #Probability (math.PR) #Statistics Theory (math.ST) #math.PR #math.ST #stat.TH
paper · pdf · doi:10.48550/arxiv.1408.3768
Extended version including empirical example
arxiv created 2015/11/23 · arxiv updated 2015/11/24
For a semi-martingale Xt, which forms a stochastic boundary, a rate-optimal estimator for its quadratic variation ⟨ X, X ⟩t is constructed based on observations in the vicinity of Xt. The problem is embedded in a Poisson point process framework, which reveals an interesting connection to the theory of Brownian excursion areas. We derive n-1/3 as optimal convergence rate in a high-frequency framework with n observations (in mean). We discuss a potential application for the estimation of the integrated squared volatility of an efficient price process Xt from intra-day order book quotes.