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What are the driving factors behind the rise of spreads and CDS of euro-area sovereign bonds? A FAVAR model for Greece and Ireland

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  • Nicholas Apergis
  • Emmanuel Mamatzakis

Abstract

This paper examines the dynamics of selected euro-area sovereign bonds by employing a factor augmenting vector autoregressive (FAVAR) model for the first time in the literature. This methodology identifies the underlying transmission mechanisms of several factors, and in particular, market liquidity and credit risk. Departing from the classical vector autoregressive (VAR) models allows us to relax limitations regarding the choice of variables that could drive spreads and CDS of euro-area sovereign debts. The results show that liquidity, credit risk and flight to quality drive both spreads and CDS of five years maturity over swaps for Greece and Ireland in recent years. Greece, in particular, is facing an elastic demand for its sovereign bonds that further stretches liquidity. Moreover, in illiquid debt markets spreads continue to follow a steep upward trend which is expected to have certain adverse implications for financial stability. We also observe a negative feedback effect from counterparty credit risk.

Suggested Citation

  • Nicholas Apergis & Emmanuel Mamatzakis, 2014. "What are the driving factors behind the rise of spreads and CDS of euro-area sovereign bonds? A FAVAR model for Greece and Ireland," International Journal of Economics and Business Research, Inderscience Enterprises Ltd, vol. 7(1), pages 104-120.
  • Handle: RePEc:ids:ijecbr:v:7:y:2014:i:1:p:104-120
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    1. Patrick Houweling & Ton Vorst, 2001. "An Empirical Comparison of Default Swap Pricing Models," Finance 0112003, University Library of Munich, Germany.
    2. Andrew T. Levin & Alexei Onatski & John Williams & Noah M. Williams, 2006. "Monetary Policy under Uncertainty in Micro-Founded Macroeconometric Models," NBER Chapters, in: NBER Macroeconomics Annual 2005, Volume 20, pages 229-312, National Bureau of Economic Research, Inc.
    3. Norden, Lars & Weber, Martin, 2004. "The comovement of credit default swap, bond and stock markets: An empirical analysis," CFS Working Paper Series 2004/20, Center for Financial Studies (CFS).
    4. Robert A. Jarrow & David Lando & Stuart M. Turnbull, 2008. "A Markov Model for the Term Structure of Credit Risk Spreads," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 18, pages 411-453, World Scientific Publishing Co. Pte. Ltd..
    5. Robert A. Jarrow & Stuart M. Turnbull, 2008. "Pricing Derivatives on Financial Securities Subject to Credit Risk," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409, World Scientific Publishing Co. Pte. Ltd..
    6. Ben S. Bernanke & Jean Boivin & Piotr Eliasz, 2005. "Measuring the Effects of Monetary Policy: A Factor-Augmented Vector Autoregressive (FAVAR) Approach," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 120(1), pages 387-422.
    7. Longstaff, Francis A & Schwartz, Eduardo S, 1995. "A Simple Approach to Valuing Risky Fixed and Floating Rate Debt," Journal of Finance, American Finance Association, vol. 50(3), pages 789-819, July.
    8. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    9. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 211-235, June.
    10. Forte, Santiago, 2006. "Credit spreads: theory and evidence about the information content of stocks, bonds and cdss," DEE - Working Papers. Business Economics. WB wb063310, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
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    Cited by:

    1. Panagiotis Pegkas, 2018. "The Effect of Government Debt and Other Determinants on Economic Growth: The Greek Experience," Economies, MDPI, vol. 6(1), pages 1-19, February.
    2. Pegkas Panagiotis, 2019. "Government Debt and Economic Growth. A Threshold Analysis for Greece," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 25(1), pages 1-6, February.
    3. Benbouzid, Nadia & Mallick, Sushanta & Pilbeam, Keith, 2018. "The housing market and the credit default swap premium in the UK banking sector: A VAR approach," Research in International Business and Finance, Elsevier, vol. 44(C), pages 1-15.

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    More about this item

    Keywords

    sovereign debt crisis; spreads; credit default swap; CDS; FAVAR model; Greece; Ireland; Euro Zone; sovereign bonds; factor augmenting vector autoregressive; market liquidity; credit risk.;
    All these keywords.

    JEL classification:

    • 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
    • G00 - Financial Economics - - General - - - General
    • G01 - Financial Economics - - General - - - Financial Crises

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