skip to content

The Cambridge-INET Institute - continuing as the Janeway Institute

Journal Cover

Bibinger, M., Hautsch, N., Malec, P. and Reiss, M.

Estimating the quadratic covariation matrix from noisy observations: local method of moments and efficiency

The Annals of Statistics

Vol. 42 no. 4 pp. 1312-1346 (2014)

Abstract: An efficient estimator is constructed for the quadratic covariation or integrated co-volatility matrix of a multivariate continuous martingale based on noisy and nonsynchronous observations under high-frequency asymptotics. Our approach relies on an asymptotically equivalent continuous-time observation model where a local generalised method of moments in the spectral domain turns out to be optimal. Asymptotic semi-parametric efficiency is established in the Cramér–Rao sense. Main findings are that nonsynchronicity of observation times has no impact on the asymptotics and that major efficiency gains are possible under correlation. Simulations illustrate the finite-sample behaviour.

Keywords: Asympototic equivalence, Asynchronous observations, Integrated covolatility matrix, High frequency data, Semi-parametric efficiency, Microstructure noise

JEL Codes: C13, C32, G10

Author links:

Publisher's Link: