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We consider empirical autocorrelations of residuals from infinite variance autoregressive processes. Unlike the finite-variance case, it emerges that the limiting distribution, after suitable normalization, is not always more concentrated around zero when residuals rather than true innovations...
Persistent link: https://www.econbiz.de/10010316482
We argue against the view that it is mostly the peaks of the empirical densities of stock returns (and of other risky returns as well) that set such data aside from ‘normal’ variables. We show that peaks depend on sample size and on the way returns are standardized, and that for given data...
Persistent link: https://www.econbiz.de/10010316596
Stock returns are often modeled as having infinite second or fourth moments with consequences for test statistics which have not yet been fully explored. Conclusions on the existence of moments are usually drawn from a generalized Pareto or simple Pareto tail index estimate. In a recent study...
Persistent link: https://www.econbiz.de/10010316668
In dieser Arbeit wird die asymptotische Nullverteilung des empirischen Autokorrelationskoeffizienten und des von Neumann ratio hergeleitet, wenn die Stichprobe aus einer Cauchy-verteilten Grundgesamtheit oder aus dem Anziehungsbereich einer Cauchy-Verteilung stammt. Für die Dichte der...
Persistent link: https://www.econbiz.de/10011335349