期刊
ANNALS OF STATISTICS
卷 42, 期 4, 页码 1312-1346出版社
INST MATHEMATICAL STATISTICS
DOI: 10.1214/14-AOS1224
关键词
Asymptotic equivalence; asynchronous observations; integrated co-volatility matrix; high-frequency data; semi-parametric efficiency; microstructure noise
资金
- Deutsche Forschungsgemeinschaft [SFB 649, FOR 1735]
- Wiener Wissenschafts-, Forschungs- und Technologiefonds (WWTF)
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 Cramer-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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据