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A Dynamic Analysis of the Determinants of the Greek Credit Default Swaps

Author

Listed:
  • Maria do Rosario CORREIA

    (German University in Cairo, Egypt.)

  • Christian GOKUS

    (University of Duisburg-Essen, Department of Economics, Germany.)

  • Andrew Hughes HALLETT

    (George Mason University, School of Public Policy, Washington, D.C. USA.)

  • Christian R. RICHTER

    (German University in Cairo, Egypt.)

Abstract

There is a consensus in finance literature that credit default swap spreads can be used to calculate the default probability of a government bond. The question is therefore what determines the credit default swap spreads and also what is a good indicator that predicts the future behaviour of this security spreads. In this paper, we investigate several variables which have been used in the past to predict the CDS spreads. We do this by analysing the behaviour of credit swaps spreads of Greek sovereign debt over the recent financial crisis. We take into account the changes on the data generating process as the crisis evolves. Moreover, we also investigate which part of the dynamic process of CDS spreads is explained by each possible determinant. In order to do so, we use a time-frequency approach. As it turns out, some determinants are better in explaining the short term behaviour of the CDS spreads whilst others explain the long term behaviour. We can also say by how many months one factor determines the behaviour of the CDS spreads for Greek sovereign debt. With this information we are able to determine the probability of default and what it depends upon.

Suggested Citation

  • Maria do Rosario CORREIA & Christian GOKUS & Andrew Hughes HALLETT & Christian R. RICHTER, 2016. "A Dynamic Analysis of the Determinants of the Greek Credit Default Swaps," Journal of Economics and Political Economy, EconSciences Journals, vol. 3(2), pages 350-376, June.
  • Handle: RePEc:cvv:journ1:v:3:y:2016:i:2:p:350-376
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    Cited by:

    1. Christian Richter & Sara El Asy, 2019. "Is Public Debt Always Harmful to Economic Growth," Working Papers 52, The German University in Cairo, Faculty of Management Technology.

    More about this item

    Keywords

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    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
    • H63 - Public Economics - - National Budget, Deficit, and Debt - - - Debt; Debt Management; Sovereign Debt
    • H68 - Public Economics - - National Budget, Deficit, and Debt - - - Forecasts of Budgets, Deficits, and Debt

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