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Persistent link: https://www.econbiz.de/10003743485
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We present the results of a simulation study into the properties of 12 different estimators of the Hurst parameter, H, or the fractional integration parameter, d, in long memory time series which are available in R packages. We compare and contrast their performance on simulated Fractional...
Persistent link: https://www.econbiz.de/10010751805
In the literature many papers state that long-memory time series models such as Fractional Gaussian Noises (FGN) or Fractionally Integrated series (FI(d)) are empirically indistinguishable from models with a non-stationary mean, but which are mean reverting. We present an analysis of the...
Persistent link: https://www.econbiz.de/10010870074
We present the results of a simulation study into the properties of 12 different estimators of the Hurst parameter, H, or the fractional integration parameter, d, in long memory time series. We compare and contrast their performance on simulated Fractional Gaussian Noises and fractionally...
Persistent link: https://www.econbiz.de/10005111040
It is now recognized that long memory and structural change can be confused because the statistical properties of times series of lengths typical of many nancial and economic series are similar for both mod- els. We propose a new test aimed at distinguishing between unifractal long memory and...
Persistent link: https://www.econbiz.de/10005111046
It is now recognised that long memory and structural change can be confused because the statistical properties of times series of lengths typical of financial and econometric series are similar for both models. We propose a new set of methods aimed at distinguishing between long memory and...
Persistent link: https://www.econbiz.de/10005190256