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Persistent link: https://www.econbiz.de/10010826308
. We define a “new” spectrum as the Fourier transform of the differences between copulas of the pairs (Yt, Yt−k) and the … are calculated as bilinear forms of weighted L1-projections of the ranks of the observed time series onto a harmonic …
Persistent link: https://www.econbiz.de/10009370568
The US financial crisis has underlined the fact that markets tend to be more dependent during the crisis than they are during the pre-crisis periods. This situation is usually referred to as contagion, a notion which has recently attracted the attention of several researchers working on finance...
Persistent link: https://www.econbiz.de/10010669751
This paper aims to analyse the seasonality in New Zealand tourism demand from Australia and the USA using spectral analysis. Tourism demand is divided into four different categories depending on the tourists’ visiting purposes as registered in the customs cards upon their arrivals in New...
Persistent link: https://www.econbiz.de/10010750011
Persistent link: https://www.econbiz.de/10005046734
The periodogram analysis of time intervals between successive earthquakes is used for testing the seismic gap …
Persistent link: https://www.econbiz.de/10010846985
We propose a periodogram-based metric for classification and clustering of time series with different sample sizes. For … such cases, we know that the Euclidean distance between the periodogram ordinates cannot be used. One possible way to deal …
Persistent link: https://www.econbiz.de/10005621654
autocorrelation, sample partial autocorrelation and periodogram based metrics. …
Persistent link: https://www.econbiz.de/10005626844
In this paper, we propose a model-free bootstrap method for the empirical process under absolute regularity. More precisely, consistency of an adapted version of the so-called dependent wild bootstrap, that was introduced by Shao (2010) and is very easy to implement, is proved under minimal...
Persistent link: https://www.econbiz.de/10010833233
Time series analysis used to investigate the stratospheric ozone formation and decomposition processes. Different time series methods are applied to detect the reason for extreme high ozone concentrations for each season. Data was convert into seasonal component and frequency domain, the latter...
Persistent link: https://www.econbiz.de/10010873425