  We show that correlation matrices with particular average and variance of the
correlation coefficients have a notably restricted spectral structure. Applying
geometric methods, we derive lower bounds for the largest eigenvalue and the
alignment of the corresponding eigenvector. We explain how and to which extent,
a distinctly large eigenvalue and an approximately diagonal eigenvector
generically occur for specific correlation matrices independently of the
correlation matrix dimension.
