A large number of nonlinear conditional heteroskedastic models have been proposed in the literature. Model selection is crucial to any statistical data analysis. In this article, we investigate whether the most commonly used selection criteria lead to choice of the right specification in a...

Overview -- Methods for describing oscillations, fluctuations, and cycles in univariate series -- Constructing reference cycles with multivariate information -- Model-based rules for describing recurrent events -- Measuring recurrent event features in univariate data -- Measuring synchronization...

The global financial crisis highlighted the impact on macroeconomic outcomes of recurrent events like business and financial cycles, highs and lows in volatility, and crashes and recessions. At the most basic level, such recurrent events can be summarized using binary indicators showing if the...