IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v271y1999i3p448-457.html
   My bibliography  Save this article

Growth of companies and water-level fluctuations of the river Danube

Author

Listed:
  • Jánosi, Imre M
  • Gallas, Jason A.C

Abstract

Recent studies on growth rate of publicly traded companies revealed interesting scaling properties and universality. Based on the statistical analysis, different models have been proposed to cast light into the inner workings of companies responsible for the phenomena observed. The purpose of this paper is to point out that the properties of the analysed economic data might be present in a wider class of complex systems producing strongly correlated noisy time series. As an illustration, we report an investigation of the daily water-level fluctuations of the river Danube over a period of 87 years, as measured in Nagymaros, Hungary. The Danube data shows similar characteristics to those seen in the company growth. This suggests that a universal description of the statistics should exist for both systems.

Suggested Citation

  • Jánosi, Imre M & Gallas, Jason A.C, 1999. "Growth of companies and water-level fluctuations of the river Danube," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 271(3), pages 448-457.
    • Handle: RePEc:eee:phsmap:v:271:y:1999:i:3:p:448-457
    DOI: 10.1016/S0378-4371(99)00246-0
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437199002460
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000
    File URL: https://libkey.io/10.1016/S0378-4371(99)00246-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Lahmiri, Salim, 2015. "Long memory in international financial markets trends and short movements during 2008 financial crisis based on variational mode decomposition and detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 437(C), pages 130-138.
    2. Stratimirovic, Djordje & Batas-Bjelic, Ilija & Djurdjevic, Vladimir & Blesic, Suzana, 2021. "Changes in long-term properties and natural cycles of the Danube river level and flow induced by damming," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 566(C).
    3. Braga, A.C. & Alves, L.G.A. & Costa, L.S. & Ribeiro, A.A. & de Jesus, M.M.A. & Tateishi, A.A. & Ribeiro, H.V., 2016. "Characterization of river flow fluctuations via horizontal visibility graphs," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 444(C), pages 1003-1011.

    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:eee:phsmap:v:271:y:1999:i:3:p:448-457. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.