financial　high-frequency　data　are　not　equally　spaced,　standard　correlation　measures　such　as　Realized　Correlation　can　not　be　directly　applied　to　the　raw　data　which　have　to　be　homogenized　by　interpolating.　Fourier-Realized　Correlation　is　a　method　which　uses　all　the　tick-bytick　data　with　no　need　to　change　their　structure.　In　this　paper,　Fourier-Realized　Correlation　of　stock　returns,　the　efficiencies　of　the　two　methods　are　compared.　Empirical　results　show　that　Fourier-Realized　Correlation　is　a　better　choice　in　terms　of　stability.　©　2010　IEEE.