IDEAS home Printed from https://ideas.repec.org/a/vrs/eaiada/v23y2019i2p80-98n6.html
   My bibliography  Save this article

Application of Extreme Value Analysis in the Assessment of Budget Variance Risk

Author

Listed:
  • Kes Zdzisław

    (Wrocław Univeristy of Economics, Wrocław, Poland)

  • Kuźmiński Łukasz

    (Wrocław Univeristy of Economics, Wrocław, Poland)

Abstract

This paper presents the methods for the evaluation of budget variance risk, i.e. the risk of a difference between the budgeted and actual figures. The postulated approach is based on extreme value analysis (EVA), to offer, among other things, the evaluation of maxima distribution parameters for studied phenomena. The proper recognition of these parameters yields potential for calculation of probabilities for budget variance to pass certain levels established as critical. This methodology can be used to evaluate deviation levels by time period, and to compare them against historical data. The main objective of this paper was to examine the utility of the theory of extreme values in the estimation of budget deviation risks. The study presents the results of probabilistic analyses of data obtained from a budgetary cost control unit of a production company located in eastern Poland, for the period of 2011-2012. The developed method of analysis and assessment of budget deviations is in line with the development of concepts and methods of management accounting.

Suggested Citation

  • Kes Zdzisław & Kuźmiński Łukasz, 2019. "Application of Extreme Value Analysis in the Assessment of Budget Variance Risk," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 23(2), pages 80-98, June.
  • Handle: RePEc:vrs:eaiada:v:23:y:2019:i:2:p:80-98:n:6
    DOI: 10.15611/eada.2019.2.06
    as

    Download full text from publisher

    File URL: https://doi.org/10.15611/eada.2019.2.06
    Download Restriction: no

    File URL: https://libkey.io/10.15611/eada.2019.2.06?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
    ---><---

    References listed on IDEAS

    as
    1. Potter, W. D., 1949. "Normalcy Tests of Precipitation and Frequency Studies of Runoff on Small Watersheds," Technical Bulletins 170380, United States Department of Agriculture, Economic Research Service.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Łukasz KUŹMIŃSKI & Zdzisław KES & Yuriy BILAN & Tomasz NOREK & Marcin RABE & Katarzyna WIDERA & Agnieszka ŁOPATKA & Dalia STREIMIKIENE, 2024. "Variance and Deviations in the Budgets of Regional Enterprises as an Element of Risk Measurement in the Probabilistic Model," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 120-139, October.
    2. Łukasz Kuźmiński & Michał Nadolny & Henryk Wojtaszek, 2020. "Probabilistic Quantification in the Analysis of Flood Risks in Cross-Border Areas of Poland and Germany," Energies, MDPI, vol. 13(22), pages 1-16, November.

    More about this item

    Keywords

    budgetary control; statistical methods of budgetary control; extreme value analysis;
    All these keywords.

    JEL classification:

    • M11 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - Production Management
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    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:vrs:eaiada:v:23:y:2019:i:2:p:80-98:n:6. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Peter Golla (email available below). General contact details of provider: https://www.sciendo.com .

    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.