1 citations · 1 across the 5 of their papers we have counts for
6 papers
Adaptive Test for Jump
Huifang Ma, Long Feng
We develop an adaptive jump test for discretely observed high-frequency semimartingales by combining the A"it-Sahalia--Jacod ratio statistic (A"it-Sahalia and Jacod, 2009) and the…
Testing Alpha in High-Dimensional Conditional Time-Varying Factor Models with Dependent Observations
Long Feng, Huifang Ma, Zhaojun Wang
This paper studies alpha testing in a high-dimensional conditional time-varying factor model with temporally dependent observations. Both factor loadings and alpha processes are al…
High dimensional alpha test for linear factor pricing model with -norm
Ping Zhao, Huifang Ma, Long Feng
We consider testing zero pricing errors in high-dimensional linear factor pricing models. Existing methods are mainly based on either an statistic, which is effective under d…
High dimensional matrix estimation through elliptical factor models
Xinyue Xu, Huifang Ma, Hongfei Wang +1
Elliptical factor models play a central role in modern high-dimensional data analysis, particularly due to their ability to capture heavy-tailed and heterogeneous dependence struct…
Adaptive L-statistics for high dimensional test problem
Huifang Ma, Long Feng, Zhaojun Wang
In this study, we focus on applying L-statistics to the high-dimensional one-sample location test problem. Intuitively, an L-statistic with parameters tends to perform optimall…
Testing Alpha in High Dimensional Linear Factor Pricing Models with Dependent Observations
Huifang Ma, Long Feng, Zhaojun Wang +1
In this study, we introduce three distinct testing methods for testing alpha in high dimensional linear factor pricing model that deals with dependent data. The first method is a s…