In the paper time-scale (wavelet) analysis is suggested as a tool for examining business cycle synchronization. Wavelet analysis enables to examine stochastic processes simultaneously in the time and frequency domains. Due to this the approach makes it possible to investigate time varying...

In the present paper an attempt was made to verify the possibilities of the use of a marker of structural changes of market price variance in the detection of trade collusion between business players. We used the theoretical model of strategic behaviour of trade players with the assumption of...

In the paper time-scale (wavelet) analysis is suggested as a tool for examining business cycle synchronization. Wavelet analysis enables to examine stochastic processes simultaneously in the time and frequency domains. Due to this the approach makes it possible to investigate time varying...

In the paper we suggest a wavelet methodology of asset classification into defensive and cyclical groups. We demonstrate that such tools of bivariate wavelet analysis like wavelet gain, coherency, phase-locking value, and amplitude correlation together with term structures of risk defined via...

The paper considers some of the problems emerging from discrete wavelet analysis of popular bivariate spectral quantities like the coherence and phase spectra and the frequency-dependent time delay. The approach taken here, introduced by Whitcher and Craigmile (2004), is based on the maximal...

In this paper, we discuss and compare empirically various ways of computing multistep quantile forecasts of demand, with a special emphasis on the use of the quantile regression methodology. Such forecasts constitute a basis for production planning and inventory management in logistic systems...