This study examines the interconnectedness in developed stock markets by focusing on the time dependence of their multi-vocal relationships. Conceptually, we discuss the differences between financial contagion, interconnectedness and dominance in order to highlight the argument that stock markets are functionally connected. For capturing the shifts in markets’ correlation patterns over time, and their frequencies, we employ a methodology in the framework of Wavelet Local Multiple Correlation (WLMC). We have involved in the analysis three developed stock markets, on a long-time span from 2005-2024. Our findings suggest that the correlation pattern displays significant variations over time at different frequencies.