Title:

On improved estimation of the extreme value index with the use of a shifted Hill’s estimator

Group publication title:

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu

Creator:

Stachura, Michał

Subject and Keywords:

extreme value index ; Pareto distribution ; shifted Hill’s estimator ; indeks ekstremalny ; rozkład Pareta ; estymator Hilla z przesunięciem

Description:

Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics, 2017, Nr 482, s. 252-260

Abstrakt:

The importance of the heavy-tail phenomenon, and as well as, limitations of methods used to detect and measure this phenomenon, are sustaining incessant progress in the area of extreme value index estimation (EVI). Therefore, the paper is devoted to illumi-nate possibility of making the Hill’s estimator to be shift-invariant, so that unintended mis-estimating of the EVI may be reduced. The paper confronts the original Hill’s approach with Aban and Meerschaert’s [2001] ideas, which are, in addition, adopted, and modified by the author. Thus, the three estimation approaches are compared, and their accuracy is assessed by a simulation study. It occurs that in the Pareto distribution case, the best estimates, amongst the considered, seem to be the ones proposed by the author and based on a proper choice of the sample shift. In general, the present study elucidates clear advantages of the shift-invariance approach over the original Hill’s estimator

Publisher:

Wydawnictwo Uniwersytetu Ekonomicznego we Wrocławiu

Place of publication:

Wrocław

Date:

2017

Resource Type:

artykuł

Format:

application/pdf

Resource Identifier:

doi:10.15611/pn.2017.482.20

Language:

eng

Relation:

Wrocław Conference in Finance: Contemporary Trends and Challenges ; Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu = Research Papers of Wrocław University of Economics; 2017; Nr 482

Rights:

Pewne prawa zastrzeżone na rzecz Autorów i Wydawcy

Access Rights:

Dla wszystkich zgodnie z licencją

License:

CC BY-NC-ND 3.0 PL

Location:

Uniwersytet Ekonomiczny we Wrocławiu