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Liquidity effects in corporate bond spreads

Author

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  • Helwege, Jean
  • Huang, Jing-Zhi
  • Wang, Yuan

Abstract

Corporate bond spreads are affected by both credit risk and liquidity and it is difficult to disentangle the two factors empirically. In this paper we separate out the credit risk component by examining bonds that are issued by the same firm and that trade on the same day, allowing us to examine the effects of liquidity in a sample of bond pairs. We examine standard liquidity measures to determine how well they explain the differences in the two bonds’ yield spreads and find that the proxies do a poor job of measuring liquidity effects. Incorporating liquidity proxies related to other bonds issued by the firm and those for bonds of other firms can significantly improve the explanatory power. Still, a significant portion of the spread is left unexplained and it is largely driven by a common unknown factor. We conclude that good proxies for the liquidity component of corporate bond spreads remain elusive.

Suggested Citation

  • Helwege, Jean & Huang, Jing-Zhi & Wang, Yuan, 2014. "Liquidity effects in corporate bond spreads," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 105-116.
  • Handle: RePEc:eee:jbfina:v:45:y:2014:i:c:p:105-116
    DOI: 10.1016/j.jbankfin.2013.08.018
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    References listed on IDEAS

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    Cited by:

    1. Song Han & Hao Zhou, 2016. "Effects of Liquidity on the Non-Default Component of Corporate Yield Spreads: Evidence from Intraday Transactions Data," Quarterly Journal of Finance (QJF), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 1-49, September.
    2. repec:spr:decisn:v:45:y:2018:i:1:d:10.1007_s40622-018-0179-7 is not listed on IDEAS
    3. Helberg, Stig & Lindset, Snorre, 2016. "Risk protection from risky collateral: Evidence from the euro bond market," Journal of Banking & Finance, Elsevier, vol. 70(C), pages 193-213.
    4. Smimou, K. & Khallouli, W., 2016. "On the intensity of liquidity spillovers in the Eurozone," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 388-405.
    5. repec:eee:empfin:v:45:y:2018:i:c:p:243-268 is not listed on IDEAS
    6. repec:eee:finmar:v:33:y:2017:i:c:p:42-74 is not listed on IDEAS
    7. repec:eee:empfin:v:46:y:2018:i:c:p:34-55 is not listed on IDEAS
    8. Kavussanos, Manolis G. & Tsouknidis, Dimitris A., 2014. "The determinants of credit spreads changes in global shipping bonds," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 55-75.
    9. Anthony H. Tu & Cathy Yi-Hsuan Chen, 2016. "What Derives the Bond Portfolio Value-at-Risk: Information Roles of Macroeconomic and Financial Stress Factors," SFB 649 Discussion Papers SFB649DP2016-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    10. Abudy, Menachem Meni & Raviv, Alon, 2016. "How much can illiquidity affect corporate debt yield spread?," Journal of Financial Stability, Elsevier, vol. 25(C), pages 58-69.
    11. Klimenko, Nataliya & Moreno-Bromberg, Santiago, 2016. "The shadow costs of repos and bank liability structure," Journal of Economic Dynamics and Control, Elsevier, vol. 65(C), pages 1-29.

    More about this item

    Keywords

    Liquidity; Credit risk; Corporate bond spreads; Corporate bond liquidity; Credit spread puzzle;

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G01 - Financial Economics - - General - - - Financial Crises
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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