  We consider model-free monitoring procedures for strict stationarity of a
given time series. The new criteria are formulated as L2-type statistics
incorporating the empirical characteristic function. Asymptotic as well as
Monte Carlo results are presented. The new methods are also employed in order
to test for possible stationarity breaks in time-series data from the financial
sector.
