IDEAS home Printed from https://ideas.repec.org/a/eas/econst/v3y2016i3p23-32.html
   My bibliography  Save this article

Investigation of Turkey Credit Default Swaps with Entropy Concept

Author

Listed:
  • Nurbanu Bursa
  • Gamze Özel Kadýlar

    (Hacettepe Üniversitesi)

Abstract

In financial markets, the use of credit default swaps as indicator of countries risk premium has become a common practice in recent times. Credit default swaps (CDS) are one of the most important financial products that can be used to calculate the probability of default of companies and countries. In this study, an econometric analysis was conducted with entropy concept for Turkey’s credit default swap spreads. The relationship between Turkey’s 5-year credit default swap spreads and BIST100 index, currency basket, overall balance of the budget and finance, the monthly rate of exports meeting imports was examined between the dates of January 2011 and October 2014. As a result of analysis, knowing the value of BIST100 index removes uncertainty largely about the CDS spreads. It is also seen from the calculated entropy correlation coefficients, BIST100 index has the highest correlation with CDS spreads and overall balance of the budget and finance has the lowest relationship.

Suggested Citation

  • Nurbanu Bursa & Gamze Özel Kadýlar, 2016. "Investigation of Turkey Credit Default Swaps with Entropy Concept," Eurasian Eononometrics, Statistics and Emprical Economics Journal, Eurasian Academy Of Sciences, vol. 3(3), pages 23-32, January.
  • Handle: RePEc:eas:econst:v:3:y:2016:i:3:p:23-32
    as

    Download full text from publisher

    File URL: http://econstat.eurasianacademy.org/dergi/../dergi//turkiye-kredi-temerrut-takasi-primlerinin-entropi-kavrami-ile-incelenmesi201601.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Andreia Dionisio & Rui Menezes & Diana A. Mendes, 2007. "Entropy and Uncertainty Analysis in Financial Markets," Papers 0709.0668, arXiv.org.
    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. Zahra Sadat Hosseini & Mahnoosh Moghaddasi & Shahla Paimozd, 2023. "Simultaneous Monitoring of Different Drought Types Using Linear and Nonlinear Combination Approaches," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 37(3), pages 1125-1151, February.
    2. Olivier Brandouy & Jean-Paul Delahaye & Lin Ma, 2015. "Estimating the Algorithmic Complexity of Stock Markets," Papers 1504.04296, arXiv.org.
    3. Brandouy, Olivier & Delahaye, Jean-Paul & Ma, Lin & Zenil, Hector, 2014. "Algorithmic complexity of financial motions," Research in International Business and Finance, Elsevier, vol. 30(C), pages 336-347.
    4. Claudiu Vințe & Marcel Ausloos, 2023. "Portfolio Volatility Estimation Relative to Stock Market Cross-Sectional Intrinsic Entropy," JRFM, MDPI, vol. 16(2), pages 1-24, February.
    5. Luckshay Batra & Harish Chander Taneja, 2022. "Comparison between Information Theoretic Measures to Assess Financial Markets," FinTech, MDPI, vol. 1(2), pages 1-18, May.

    More about this item

    Keywords

    Credit Default Swap; Spread; Entropy; BÝST100 index; Turkey.;
    All these keywords.

    JEL classification:

    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

    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:eas:econst:v:3:y:2016:i:3:p:23-32. 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: Kutluk Kagan Sumer (email available below). General contact details of provider: http://econstat.eurasianacademy.org/eng/ .

    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.