It is well-known that, in the high dimensional setting, when the dimension of a random vector is comparable to the length of observation, the eigenvector of the sample covariance matrix will live on a cone with axis parallel to that of the population covariance matrix. And the almost surely convergent limit can be computed. But what is the distribution of the angle?