IDEAS home Printed from https://ideas.repec.org/a/brc/brccej/v5y2020i3p29-37.html
   My bibliography  Save this article

Possibilities Of Evaluation Of The Expenditure Of The Clothing Industry By The Monte Carlo Method

Author

Listed:
  • Teodora Maria SUCIU (AVRAM)

    (“1 Decembrie 1918” University of Alba Iulia, Romania)

Abstract

The analysis of the possibilities by which the expenses can be measured in the clothing industry in Romania, is the starting point of this research. We consider it useful to know the ways of measuring the expenses at the level of companies, in order to obtain a greater profit, by using as little resources as possible. The results of the empirical study are satisfactory, in the sense that through the safety interval of the average of the expenses, it is possible at any time to check the state of the company's performance. Therefore, according to the results of the proposed model, the company that is the subject of the case study should find solutions to reduce the operating and financial expenses existing in 2017.

Suggested Citation

  • Teodora Maria SUCIU (AVRAM), 2020. "Possibilities Of Evaluation Of The Expenditure Of The Clothing Industry By The Monte Carlo Method," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 5(3), pages 29-37.
  • Handle: RePEc:brc:brccej:v:5:y:2020:i:3:p:29-37
    as

    Download full text from publisher

    File URL: http://www.revec.ro/papers/200304.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Petru BALOGH & Pompiliu GOLEA & Valentin INCEU, 2013. "Profit Forecast Model Using Monte Carlo Simulation in Excel," Romanian Statistical Review, Romanian Statistical Review, vol. 61(12), pages 33-40, January.
    2. Francesca Greselin & Fabio Piacenza & Ričardas Zitikis, 2019. "Practice Oriented and Monte Carlo Based Estimation of the Value-at-Risk for Operational Risk Measurement," Risks, MDPI, vol. 7(2), pages 1-20, May.
    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. Jiandong Ren & Kristina Sendova & Ričardas Zitikis, 2019. "Special Issue “Risk, Ruin and Survival: Decision Making in Insurance and Finance”," Risks, MDPI, vol. 7(3), pages 1-7, September.

    More about this item

    Keywords

    Monte Carlo method; expenses; probability distribution; random variable; clothing industry; scenario;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • L67 - Industrial Organization - - Industry Studies: Manufacturing - - - Other Consumer Nondurables: Clothing, Textiles, Shoes, and Leather Goods; Household Goods; Sports Equipment

    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:brc:brccej:v:5:y:2020:i:3:p:29-37. 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: Cristina GANESCU (email available below). General contact details of provider: http://www.univcb.ro/ .

    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.