IDEAS home Printed from https://ideas.repec.org/a/iaf/journl/y2014i2p126-130.html
   My bibliography  Save this article

Econometric Modelling of Interrelation between Stock Market Functioning and Parameters of Social & Economic Development of Ukraine

Author

Listed:
  • Olena Zotsenko

    (Taras Shevchenko National University of Kyiv)

Abstract

The overview of econometric studies on the role of financial sector in forming the economic growth of developing countries has shown that today the capital market impact on the real economy still remains understudied. Given the above, the author has analyzed the interaction between the parameters of economy macroeconomic development and the stock market of Ukraine. The purpose of this study is building an econometric model of interrelation between the national stock market and key micro- and macroeconomic indicators. This model can be used by public authorities to assess the effectiveness of the national policy system in the field of corporate relations. In the process of the research it has been revealed that the current stage of the national stock market development is characterized by loss of the state's control over either macroeconomic indicators - as evidenced by unemployment, inflation, high level of public debt - and activity of financial institutions that uncontrollably have made loans in domestic and foreign capital markets, which has consequently led to stock market dramatic financial imbalance.

Suggested Citation

  • Olena Zotsenko, 2014. "Econometric Modelling of Interrelation between Stock Market Functioning and Parameters of Social & Economic Development of Ukraine," Oblik i finansi, Institute of Accounting and Finance, issue 2, pages 126-130, June.
    • Handle: RePEc:iaf:journl:y:2014:i:2:p:126-130
    as

    Download full text from publisher

    File URL: http://www.afj.org.ua/pdf/180-ekonometrichne-modelyuvannya-vzaemozalezhnosti-funkcionuvannya-rinku-akciy-ta-parametriv-socialno-ekonomichnogo-rozvitku-ukraini.pdf
    Download Restriction: no
    File URL: http://www.afj.org.ua/en/article/180/
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Inna Nazarenko, 2016. "Applied Aspects of Neural Modeling in the Process of Diagnosing the Capital of Agricultural Enterprises," Oblik i finansi, Institute of Accounting and Finance, issue 1, pages 161-171, March.

    More about this item

    Keywords

    stock market; social & economic development; econometric model; regression; correlation and regression analysis;
    All these keywords.

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • G38 - Financial Economics - - Corporate Finance and Governance - - - Government Policy and Regulation

    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:iaf:journl:y:2014:i:2:p:126-130. 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: Serhiy Ostapchuk (email available below). General contact details of provider: https://edirc.repec.org/data/iafkvua.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.