In this paper, we have applied spectral and cross spectral analysis techniques as an alternative approach to characterize the Tunisian business cycle and measure the degree of its international synchronization. As a robustness check, we have applied these techniques to the industrial production...

We propose a general framework for measuring frequency dynamics of connectedness in economic variables based on spectral representation of variance decompositions. We argue that the frequency dynamics is insightful when studying the connectedness of variables as shocks with heterogeneous...

The work makes two contributions to the literature on dynamic house prices. First, a house price ripple in cycles from Modern to Older dwellings is revealed and, second, as New housing is shown to have lower volatility than the other two. Using spectral analysis, it is argued that there is a 7...

We document the consequences of ambiguity in the empirical definition of the macroeconomic labor share. Depending on its definition, the properties of short-run fluctuations, medium-run swings, and long-run stochastic trends of the labor share may vary substantially. Based on a range of...

We introduce a methodology to characterise financial cycles combining a novel multivariate spectral approach to identifying common cycle frequencies across a set of indicators, and a time varying aggregation emphasising systemic developments. The methodology is applied to 13 European Union...

This paper examines the business cycle properties of Visegrad group countries. The main objective is to identify business cycles in these countries and to study the relationships between them. The author applies a modification of the Fourier analysis to estimate cycle amplitudes and frequencies....

Summary A reliable leading indicator should possess the following properties: (1) The movements in the indicator series should resemble those in the business cycle reference series. (2) The relation between the reference series and the indicator should be statistically significant and stable...

Abstract We study a model where one target variable $Y$ is correlated with a vector $\textbf{X}:=(X_1,\dots,X_d)$ of predictor variables being potential causes of $Y$ . We describe a method that infers to what extent the statistical dependences between $\textbf{X}$ and $Y$ are due to the...

This paper tests for nonlinearity in EMS exchange rates using the bispectrum. The early experience of the ERM witnessed numerous realignments. We find that exchange rates follow a linear process over the period 1979-1987, consistent with the predictions of the realignment target zone model,...

Replaced with revised version of paper 02/10/10.