IDEAS home Printed from https://ideas.repec.org/a/bas/econst/y2017i3p91-109.html
   My bibliography  Save this article

Modeling the Financial Strategy of the Enterprise in an Unstable Environment

Author

Listed:
  • Lidiya Guryanova
  • Tamara Klebanova
  • Tetiana Trunova

Abstract

Modern conditions of enterprise operation are characterized by a large number of negative factors. First of all, such factors include decrease in business activities of stock markets, low level of exchange fluctuations predictability etc. These factors generate additional financial risks and lead to significant losses and damages, and as a result they can cause the financial crisis situations. The novelty of scientific challenges contains the following tasks: to develop the complex of economic mathematical models which allows assessing the impact of uncontrollable external factors on financial activity; to create preventive financial strategies ensuring stable functioning and development of the enterprise under threats. The development of models is based on methods of multivariate analysis (principal component analysis, the method of the development level, the method of gravity center, hierarchical agglomerative methods and iterative cluster analysis, discriminant analysis, classification trees), econometric methods (pool data models, logit- and probit-models, vector autoregression technology, error correction models), simulation methods and system dynamics approach. The models implication in companies’ activity has allowed developing financial strategy balanced on various directions while considering the potential financial risks.

Suggested Citation

  • Lidiya Guryanova & Tamara Klebanova & Tetiana Trunova, 2017. "Modeling the Financial Strategy of the Enterprise in an Unstable Environment," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 3, pages 91-109.
    • Handle: RePEc:bas:econst:y:2017:i:3:p:91-109
    as

    Download full text from publisher

    File URL: https://www.ceeol.com/search/article-detail?id=565878
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Robert Brumnik & Tamara Klebanova & Lidiya Guryanova & Sergii Kavun & Olexandr Trydid, 2014. "Simulation of Territorial Development Based on Fiscal Policy Tools," Mathematical Problems in Engineering, Hindawi, vol. 2014, pages 1-14, May.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Marianna Oliskevych & Galyna Beregova & Viktor Tokarchuk, 2018. "Fuel Consumption in Ukraine: Evidence from Vector Error Correction Model," International Journal of Energy Economics and Policy, Econjournals, vol. 8(5), pages 58-63.
    2. Zherlitsyn, Dmytro & Levytskyi, Stanislav & Mykhailyk, Denys & Ogloblina, Victoriia, 2019. "Assessment of Financial Potential as a Determinant of Enterprise Development," MPRA Paper 97069, University Library of Munich, Germany.
    3. Michal Fabuš & Nadiya Dubrovina & Lidiya Guryanova & Natalia Chernova & Olexandr Zyma, 2019. "Strengthening financial decentralization: driver or risk factor for sustainable socio-economic development of territories?," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(2), pages 875-890, December.
    4. Lidiya Guryanova & Olena Bolotova & Vitalii Gvozdytskyi & Sergienko Olena, 2020. "Long-term financial sustainability: An evaluation methodology with threats considerations," RIVISTA DI STUDI SULLA SOSTENIBILITA', FrancoAngeli Editore, vol. 0(1), pages 47-69.

    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.

      More about this item

      JEL classification:

      • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
      • C55 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Large Data Sets: Modeling and Analysis
      • C54 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Quantitative Policy Modeling
      • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

      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:bas:econst:y:2017:i:3:p:91-109. 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: Diana Dimitrova (email available below). General contact details of provider: https://edirc.repec.org/data/ikbasbg.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.