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The bispectrum and third-order moment can be viewed as equivalent tools for testing for the presence of nonlinearity in … stationary time series. This is because the bispectrum is the Fourier transform of the third-order moment. An advantage of the … bispectrum is that its estimator comprises terms that are asymptotically independent at distinct bifrequencies under the null …
Persistent link: https://www.econbiz.de/10009447971
The bispectrum and third-order moment can be viewed as equivalent tools for testing for the presence of nonlinearity in … stationary time series. This is because the bispectrum is the Fourier transform of the third order moment. An advantage of the … bispectrum is that its estimator comprises terms which are asymptotically independent at distinct bifrequencies under the null …
Persistent link: https://www.econbiz.de/10009483419
The bispectrum and third-order moment can be viewed as equivalent tools for testing for the presence of non …-linearity in stationary time series. This is because the bispectrum is the Fourier transform of the third order moment. An … advantage of the bispectrum is that its estimator comprises terms which are asymptotically independent at distinct bifrequencies …
Persistent link: https://www.econbiz.de/10005766388
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-smoothing and discarding pertinent information. In this presentation, we present some bootstrap tests for non-linearity in a time … of the time series of interest, and its bispectrum, being the Fourier transform of the third-order moment. As a by …
Persistent link: https://www.econbiz.de/10005702559
Copula modelling is a popular tool in analysing the dependencies between variables. Copula modelling allows the investigation of tail dependencies, which is of particular interest in risk and survival applications. Copula modelling is also of specific interest to economic and financial modelling...
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The aim of this paper is to take stock of the important recent contributions to spectral analysis, especially as they apply to non-stationary processes. Non-stationary processes are particularly relevant in the empirical sciences where most phenomena exhibit pronounced departures from stationary.
Persistent link: https://www.econbiz.de/10008725991
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