IDEAS home Printed from https://ideas.repec.org/a/fis/journl/230301.html

Causality Change Between BIST 100 Index and USD, Gold, and BITCOIN Before and After the COVID-19 Pandemic: A Historical Analysis with a Fourier Function on Turkiye

Author

Listed:
  • Hasan KAZAK

Abstract

The aim of this study is to present guiding data in the decisions of the affected parties in the financial system and contribute to the literature by revealing the changes in investor decisions during the COVID-19 pandemic period as pre-pandemic and post-pandemic periods. The study covers the period of 01/01/2018-24/02/2023 with the latest updated values, including before and after the COVID-19 pandemic, over the case of Turkiye. Analyzes were performed using a causality test that enriched the Toda-Yamamoto procedure with the Fourier function (FTY). The study period was divided into four sub-periods with the Chow structural break test. In the study, the causality relationship between USD, Gold (AU) and that between Bitcoin variables and BIST100 index were analyzed. The results of the analysis showed that the pre-pandemic and post-pandemic period revealed quite different causality relationships in that gold emerged as a safe haven in the first shock wave of the pandemic, and gold lost this feature in the ongoing pandemic process and the causality between all the variables discussed became clear. In the post-pandemic period, compared to the pre-pandemic one, it was observed that the causality relationship between the BIST100 variable of USD and Bitcoin, which are the other variables that only gold has a one-sided causality relationship in the same way, disappeared completely. The study makes an important contribution to the literature in terms of analyzing investor behavior at each stage of crisis periods.

Suggested Citation

  • Hasan KAZAK, 2023. "Causality Change Between BIST 100 Index and USD, Gold, and BITCOIN Before and After the COVID-19 Pandemic: A Historical Analysis with a Fourier Function on Turkiye," Fiscaoeconomia, Tubitak Ulakbim JournalPark (Dergipark), issue 3.
  • Handle: RePEc:fis:journl:230301
    DOI: 10.25295/fsecon.1261953
    as

    Download full text from publisher

    File URL: https://dergipark.org.tr/en/download/article-file/2997372
    Download Restriction: no

    File URL: https://libkey.io/10.25295/fsecon.1261953?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
    ---><---

    More about this item

    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
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

    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:fis:journl:230301. 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: Emre Atsan (email available below). General contact details of provider: https://dergipark.org.tr/ .

    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.