IDEAS home Printed from https://ideas.repec.org/a/voj/journl/v0y0i0p1-14id1566.html
   My bibliography  Save this article

The Behavior of Stock Market Index During the Coronavirus Pandemic in Turkey

Author

Listed:
  • Ahmed Alsayed
  • Kivanç Halil Ariç
  • Siok Kun Sek

Abstract

Recently, the coronavirus (COVID-19) pandemic has affected the economic situation all over the world. The objective of this research is to examine the effect of coronavirus spreading and vaccination rate on the stock market index in Turkey. To do that, we have applied several statistical methods, namely ridge, lasso, principal components, and partial least squares (PLS) regression versus elastic-net regression based on empirical mode decomposition, which can overcome the non-stationary problem and nonlinearity characteristics. The result of using the elastic net regression method based on empirical mode decomposition shows significant effects of coronavirus spreading on the stock market, and it varies based on the intrinsic mode function coefficients and frequencies. The findings of this research could assist practitioners and policymakers to design important strategies in the light of varying stock market dynamics during the coronavirus pandemic.JEL: C22, E58, G12.

Suggested Citation

  • Ahmed Alsayed & Kivanç Halil Ariç & Siok Kun Sek, 0. "The Behavior of Stock Market Index During the Coronavirus Pandemic in Turkey," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 0(0), pages 1-14.
  • Handle: RePEc:voj:journl:v:0:y:0:i:0:p:1-14:id:1566
    as

    Download full text from publisher

    File URL: https://panoeconomicus.org/index.php/jorunal/article/view/1566/757
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Borsa Istanbul; Elastic Net-EMB Regression; Coronavirus; Predictability;
    All these keywords.

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:voj:journl:v:0:y:0:i:0:p:1-14:id:1566. 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: Ivana Horvat (email available below). General contact details of provider: https://panoeconomicus.org/index.php/jorunal/ .

    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.