complex seasonality patterns, persistence (hyperbolic decay of the autocorrelation function), mean reversion, spikes …

Most financial time series exhibit seasonality, persistence (hyperbolic decay of the autocorrelation function …

for modelling those series taking the persistence of the seasonal roots into account through seasonal-cyclical long memory …

more intensive land-use. Introducing aspects of seasonality into a stylized Malthusian model, we unify two diverging views …

The paper investigates the patterns of persistence of innovation and of the properties of firms' knowledge base (KB … investigated their patterns of persistence over time. The empirical analysis is implemented by exploring the autocorrelation …

context can generate strong persistence. The degree of persistence depends on the weights agents place on past observations … data. Hence long memory arises endogenously, due to the self-referential nature of the model, without any persistence in …

are adjusted for high persistence. …

persistence ? This article investigates empirically the pattern of technological innovation persistence and tests the potential …. Evidence shows a positive effect of organizational innovation on technological innovation persistence, according to various … regard to the firm's technological innovation. They also add to comprehension of the drivers of innovation persistence …