IDEAS home Printed from https://ideas.repec.org/a/mic/tmpjrn/v14y2018i02p25-37.html
   My bibliography  Save this article

Presentation and Testing of the Creeping Trend with Harmonic Weights Method in the Light of Sovereign CDS Prices

Author

Listed:
  • Renáta Géczi-Papp

    (Universiity of Miskolc)

Abstract

The prediction of financial indicators is not easy, as the influencing factors may change from time to time. The sovereign credit default swap (CDS) spread is a complex measure which helps evaluate country risk, and there are a number of quantitative and qualitative criteria that may have an impact on the price development. The study aims to present and test a relatively new method. Forecasting based on the creeping trend with harmonic weights allows us to manage independent variables that are not constant in time. The study presents the method and illustrates its effectiveness through an empirical example, using the Hungarian and German five-year USD denominated quarterly CDS spreads.

Suggested Citation

  • Renáta Géczi-Papp, 2018. "Presentation and Testing of the Creeping Trend with Harmonic Weights Method in the Light of Sovereign CDS Prices," Theory Methodology Practice (TMP), Faculty of Economics, University of Miskolc, vol. 14(02), pages 25-37.
  • Handle: RePEc:mic:tmpjrn:v:14:y:2018:i:02:p:25-37
    as

    Download full text from publisher

    File URL: http://tmp.gtk.uni-miskolc.hu/volumes/2018/02/TMP_2018_02_TMP_2018_02_03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lóránt Varga, 2009. "The information content of Hungarian sovereign CDS spreads," MNB Occasional Papers 2009/78, Magyar Nemzeti Bank (Central Bank of Hungary).
    2. Stephan Dieckmann & Thomas Plank, 2012. "Default Risk of Advanced Economies: An Empirical Analysis of Credit Default Swaps during the Financial Crisis," Review of Finance, European Finance Association, vol. 16(4), pages 903-934.
    3. Fontana, Alessandro & Scheicher, Martin, 2016. "An analysis of euro area sovereign CDS and their relation with government bonds," Journal of Banking & Finance, Elsevier, vol. 62(C), pages 126-140.
    4. Aizenman, Joshua & Hutchison, Michael & Jinjarak, Yothin, 2013. "What is the risk of European sovereign debt defaults? Fiscal space, CDS spreads and market pricing of risk," Journal of International Money and Finance, Elsevier, vol. 34(C), pages 37-59.
    5. Francis A. Longstaff & Jun Pan & Lasse H. Pedersen & Kenneth J. Singleton, 2011. "How Sovereign Is Sovereign Credit Risk?," American Economic Journal: Macroeconomics, American Economic Association, vol. 3(2), pages 75-103, April.
    6. M. Hashem Pesaran & Davide Pettenuzzo & Allan Timmermann, 2006. "Forecasting Time Series Subject to Multiple Structural Breaks," Review of Economic Studies, Oxford University Press, vol. 73(4), pages 1057-1084.
    7. Darrell Duffie & Lasse Heje Pedersen & Kenneth J. Singleton, 2003. "Modeling Sovereign Yield Spreads: A Case Study of Russian Debt," Journal of Finance, American Finance Association, vol. 58(1), pages 119-159, February.
    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. D’Agostino, Antonello & Ehrmann, Michael, 2014. "The pricing of G7 sovereign bond spreads – The times, they are a-changin," Journal of Banking & Finance, Elsevier, vol. 47(C), pages 155-176.
    2. López-Espinosa, Germán & Moreno, Antonio & Rubia, Antonio & Valderrama, Laura, 2017. "Sovereign tail risk," Journal of International Money and Finance, Elsevier, vol. 79(C), pages 174-188.
    3. María Cantero Sáiz & Sergio Sanfilippo Azofra & Begoña Torre Olmo, 2019. "The single supervision mechanism and contagion between bank and sovereign risk," Journal of Regulatory Economics, Springer, vol. 55(1), pages 67-106, February.
    4. Kinateder, Harald & Wagner, Niklas, 2017. "Quantitative easing and the pricing of EMU sovereign debt," The Quarterly Review of Economics and Finance, Elsevier, vol. 66(C), pages 1-12.
    5. J. Alsubaiei, Bader & Calice, Giovanni & Vivian, Andrew, 2021. "Sovereign CDS and mutual funds: Global evidence," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 73(C).
    6. Galariotis, Emilios C. & Makrichoriti, Panagiota & Spyrou, Spyros, 2016. "Sovereign CDS spread determinants and spill-over effects during financial crisis: A panel VAR approach," Journal of Financial Stability, Elsevier, vol. 26(C), pages 62-77.
    7. Nader Naifar & Shawkat Hammoudeh & Aviral Kumar Tiwari, 2019. "Do Energy and Banking CDS Sector Spreads Reflect Financial Risks and Economic Policy Uncertainty? A Time-Scale Decomposition Approach," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 507-534, August.
    8. Cumhur ÞAHÝN & Hüseyin ALTAY, 2016. "Examination of the Relationship between Turkey’s Credit Default Swap (CDS) Points and Unemployment," Eurasian Business & Economics Journal, Eurasian Academy Of Sciences, vol. 4(4), pages 52-67, January.
    9. Calice, Giovanni & Mio, RongHui & Štěrba, Filip & Vašíček, Bořek, 2015. "Short-term determinants of the idiosyncratic sovereign risk premium: A regime-dependent analysis for European credit default swaps," Journal of Empirical Finance, Elsevier, vol. 33(C), pages 174-189.
    10. Mr. Frigyes F Heinz & Ms. Yan M Sun, 2014. "Sovereign CDS Spreads in Europe: The Role of Global Risk Aversion, Economic Fundamentals, Liquidity, and Spillovers," IMF Working Papers 2014/017, International Monetary Fund.
    11. De Bruyckere, Valerie & Gerhardt, Maria & Schepens, Glenn & Vander Vennet, Rudi, 2013. "Bank/sovereign risk spillovers in the European debt crisis," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4793-4809.
    12. Christoph Große Steffen & Maximilian Podstawski, 2016. "Ambiguity and Time-Varying Risk Aversion in Sovereign Debt Markets," Discussion Papers of DIW Berlin 1602, DIW Berlin, German Institute for Economic Research.
    13. Brutti, Filippo & Sauré, Philip, 2015. "Transmission of sovereign risk in the Euro crisis," Journal of International Economics, Elsevier, vol. 97(2), pages 231-248.
    14. Huyugüzel Kışla, Gül & Özlem Önder, A., 2018. "Spatial analysis of sovereign risks: The case of emerging markets," Finance Research Letters, Elsevier, vol. 26(C), pages 47-55.
    15. Gündüz, Yalin & Kaya, Orcun, 2013. "Sovereign default swap market efficiency and country risk in the eurozone," Discussion Papers 08/2013, Deutsche Bundesbank.
    16. Große Steffen, Christoph, 2015. "Uncertainty shocks and non-fundamental debt crises: An ambiguity approach," VfS Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 112936, Verein für Socialpolitik / German Economic Association.
    17. Moratis, Georgios & Sakellaris, Plutarchos, 2021. "Measuring the systemic importance of banks," Journal of Financial Stability, Elsevier, vol. 54(C).
    18. Umurcan Polat, 2017. "Regime Switching Determinants of Sovereign CDS Spreads: Evidence from Turkey," Eurasian Journal of Economics and Finance, Eurasian Publications, vol. 5(4), pages 124-141.
    19. Wu, Eliza & Erdem, Magdalena & Kalotychou, Elena & Remolona, Eli, 2016. "The anatomy of sovereign risk contagion," Journal of International Money and Finance, Elsevier, vol. 69(C), pages 264-286.
    20. Manuel Buchholz & Lena Tonzer, 2016. "Sovereign Credit Risk Co-Movements in the Eurozone: Simple Interdependence or Contagion?," International Finance, Wiley Blackwell, vol. 19(3), pages 246-268, December.

    More about this item

    Keywords

    Credit Default Swap; forecast; creeping trend with harmonic weights; sovereign CDS;
    All these keywords.

    JEL classification:

    • B4 - Schools of Economic Thought and Methodology - - Economic Methodology
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • F37 - International Economics - - International Finance - - - International Finance Forecasting and Simulation: Models and Applications

    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:mic:tmpjrn:v:14:y:2018:i:02:p:25-37. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/vgtmihu.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.