The Epps effect is the stylized fact that the more accurate you are on two time series (i.e. the more you sample them), the lower the correlations according to the usual formula. It applies to any time series that do not exist at the same sampling rate: if you oversample one of them you create false information, if you undersample the other you throw away potentially meaningful information.
