  Using Random Matrix Theory one can derive exact relations between the
eigenvalue spectrum of the covariance matrix and the eigenvalue spectrum of its
estimator (experimentally measured correlation matrix). These relations will be
used to analyze a particular case of the correlations in financial series and
to show that contrary to earlier claims, correlations can be measured also in
the ``random'' part of the spectrum. Implications for the portfolio
optimization are briefly discussed.
