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Measuring credit spreads: evidence from Australian Eurobonds

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  • Jonathan Batten
  • Warren Hogan
  • Gady Jacoby

Abstract

Recent theoretical models including the closed-form valuation model of Longstaff and Schwartz (1995) predict that credit spreads are driven by both an asset and interest rate factor. In empirical studies the credit spread may be expressed as either the difference between, or ratio of, the risky bond to a riskless bond. Using a daily sample of non-callable Australian dollar denominated Eurobonds it is found, consistent with theory, that changes in credit spreads are negatively related to both changes in the return on All Ordinaries stock Index and changes in the Government bond yield. Interestingly, the ratio measure - termed a relative credit spread - tends to be statistically more significant than the alternate measure based upon the difference - termed an actual credit spread. However, it is shown that this result is spurious and due to the way in which relative credit spreads are constructed. Noting Duffee's (1998) warning against using callable bonds, the use of only non-callable Eurobonds provides a cleaner result when compared with tests conducted by Longstaff and Schwartz (1995).

Suggested Citation

  • Jonathan Batten & Warren Hogan & Gady Jacoby, 2005. "Measuring credit spreads: evidence from Australian Eurobonds," Applied Financial Economics, Taylor & Francis Journals, vol. 15(9), pages 651-666.
    • Handle: RePEc:taf:apfiec:v:15:y:2005:i:9:p:651-666
    DOI: 10.1080/09603100500056809
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    References listed on IDEAS

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    Cited by:

    1. Gady Jacoby & Chuan Liao & Jonathan A. Batten, 2007. "A Pure Test for the Elasticity of Yield Spreads," The Institute for International Integration Studies Discussion Paper Series iiisdp195, IIIS.
    2. Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, 2020. "Mildly explosive dynamics in U.S. fixed income markets," European Journal of Operational Research, Elsevier, vol. 287(2), pages 712-724.
    3. Guidolin, Massimo & Tam, Yu Man, 2013. "A yield spread perspective on the great financial crisis: Break-point test evidence," International Review of Financial Analysis, Elsevier, vol. 26(C), pages 18-39.
    4. Chi-Fai Lo & Cho-Hoi Hui, 2016. "Pricing corporate bonds with interest rates following double square-root process," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 3(03), pages 1-31, September.
    5. Grundke, Peter & Kühn, André, 2020. "The impact of the Basel III liquidity ratios on banks: Evidence from a simulation study," The Quarterly Review of Economics and Finance, Elsevier, vol. 75(C), pages 167-190.
    6. Contessi, Silvio & De Pace, Pierangelo & Guidolin, Massimo, 2014. "How did the financial crisis alter the correlations of U.S. yield spreads?," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 362-385.
    7. Österholm, Pär, 2018. "The relation between treasury yields and corporate bond yield spreads in Australia: Evidence from VARs," Finance Research Letters, Elsevier, vol. 24(C), pages 186-192.
    8. Chia-Chien Chang & Chou-Wen Wang & Szu-Lang Liao, 2009. "The valuation of special purpose vehicles by issuing structured credit-linked notes," Applied Financial Economics, Taylor & Francis Journals, vol. 19(3), pages 227-256.
    9. Karlsson, Sune & Österholm, Pär, 2019. "Volatilities, drifts and the relation between treasury yields and the corporate bond yield spread in australia," Finance Research Letters, Elsevier, vol. 30(C), pages 378-384.
    10. Cottrell, Simon & Karpavičius, Sigitas, 2021. "Does foreign monetary policy drive Australian banks' wholesale funding costs?," Global Finance Journal, Elsevier, vol. 50(C).
    11. Loncarski, Igor & Szilagyi, Peter G., 2012. "Empirical analysis of credit spread changes of US corporate bonds," International Review of Financial Analysis, Elsevier, vol. 24(C), pages 12-19.
    12. Chi-Fai Lo & Cho-Hoi Hui, 2016. "Pricing Corporate Bonds With Interest Rates Following Double Square-root Process," Working Papers 112016, Hong Kong Institute for Monetary Research.

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