IDEAS home Printed from https://ideas.repec.org/a/osi/journl/v11y2015p1173-1186.html
   My bibliography  Save this article

Some Investigations of the Sample Maximum

Author

Listed:
  • Wolfgang Gohout

    (Hochschule Pforzheim, Tiefenbronner Str. 65, D–75175 Pforzheim, Germany)

  • Katja Specht

    (Technische Hochschule Mittelhessen, Wilhelm–Leuschner–Str. 13, D–61169 Friedberg, Germany)

Abstract

Day by day we are confronted with records and extremes. Newsletters and media report on the hottest day, the highest tide, the best–performing investment fund, and so on. And often people wonder at the level of these extreme values. The sheer amount of the maximum income or property of the richest one out of some millions of people easily contradicts human intuition and may lead to envy and jealousy. In this paper, we consider some examples and various methods of estimating the sample maximum. Starting with a simple introductory example, we are going to raise the difficulty as well as the realism of our exemplary applications. The multivariate normal case may be treated by simulation and will be illustrated with annual yields of some DAX30 equities. The asymptotic estimation is well established. A proper example is the private wealth of the richest Germans, which has been investigated by a special issue of the social–economic panel study (SOEP) by DIW. It will be shown that the amount of wealth of the richest German is not so surprising.

Suggested Citation

  • Wolfgang Gohout & Katja Specht, 2015. "Some Investigations of the Sample Maximum," Interdisciplinary Management Research, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 11, pages 1173-1186.
  • Handle: RePEc:osi:journl:v:11:y:2015:p:1173-1186
    as

    Download full text from publisher

    File URL: http://www.efos.hr/repec/osi/journl/PDF/InterdisciplinaryManagementResearchXI/IMR11a86
    Download Restriction: no
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:osi:journl:v:11:y:2015:p:1173-1186. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Hrvoje Serdarusic, PhD (email available below). General contact details of provider: https://edirc.repec.org/data/efosihr.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.