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There has been considerable attention on estimation of conditional variance function in the literature.We propose here a nonparametric model for conditional co variance matrix.A kernel estimator is developed accordingly, its asymptotic bias and variance are derived, and its asymptotic normality is established.Monte Carlo simulation studies are conducted to assess the finite sample performance of the pro posed estimator.A real data cxamplc is used to illustrate the proposed estimation procedure.