Nonparametric Covariance Model
Statistica Sinica, Forthcoming
15 Pages Posted: 2 Dec 2008
Date Written: November 27, 2008
Abstract
There has been considerable attention on estimation of conditional variance function in the literature. We propose here a nonparametric model for conditional covariance matrix. A kernel estimator is developed accordingly, its asymptotic bias and variance are derived, and its asymptotic normality is established. A real data example is used to illustrate the proposed estimation procedure.
Keywords: Conditional variance, Heteroscedasticity, Kernel regression, Nonparametric covariance model, Volatility
JEL Classification: C5, C51
Suggested Citation: Suggested Citation
Yin, Jianxin and Geng, Zhi and Li, Runze and Wang, Hansheng, Nonparametric Covariance Model (November 27, 2008). Statistica Sinica, Forthcoming, Available at SSRN: https://ssrn.com/abstract=1308331
Do you have negative results from your research you’d like to share?
Feedback
Feedback to SSRN
If you need immediate assistance, call 877-SSRNHelp (877 777 6435) in the United States, or +1 212 448 2500 outside of the United States, 8:30AM to 6:00PM U.S. Eastern, Monday - Friday.