activity
20072024
most citedAre volatility estimators robust with respect to modeling assumptions?

58 citations · 108 across the 5 of their papers we have counts for

collaborators

5 papers

math.ST2024

Tests for principal eigenvalues and eigenvectors

Jianqing Fan, Yingying Li, Ningning Xia +1

We establish central limit theorems for principal eigenvalues and eigenvectors under a large factor model setting, and develop two-sample tests of both principal eigenvalues and pr…

q-fin.ST2013★ 1 cited

Volatility Inference in the Presence of Both Endogenous Time and Microstructure Noise

Yingying Li, Zhiyuan Zhang, Xinghua Zheng

In this article we consider the volatility inference in the presence of both market microstructure noise and endogenous time. Estimators of the integrated volatility in such a sett…

stat.ME2013

Statistical Properties of Microstructure Noise

Jean Jacod, Yingying Li, Xinghua Zheng

We study the estimation of moments and joint moments of microstructure noise. Estimators of arbitrary order of (joint) moments are provided, for which we establish consistency as w…

stat.ME2010★ 49 cited

On the estimation of integrated covariance matrices of high dimensional diffusion processes

Xinghua Zheng, Yingying Li

We consider the estimation of integrated covariance (ICV) matrices of high dimensional diffusion processes based on high frequency observations. We start by studying the most commo…

q-fin.ST2007★ 58 cited

Are volatility estimators robust with respect to modeling assumptions?

Yingying Li, Per A. Mykland

We consider microstructure as an arbitrary contamination of the underlying latent securities price, through a Markov kernel . Special cases include additive error, rounding and…