IDEAS home Printed from https://ideas.repec.org/a/ibn/ijbmjn/v15y2021i4p87.html
   My bibliography  Save this article

What Factors Influence European Corporate Bond Spread?

Author

Listed:
  • Maria Cristina Arcuri
  • Gino Gandolfi
  • Manou Monteux
  • Giovanni Verga

Abstract

This paper examines the main determinants of corporate euro-bond spread. We analyse a large sample of corporate euro-country bonds over the period May 2005 -January 2012, considering three sub-periods- May 2005- July 2007 (pre-crisis period), August 2007-April 2010 (worldwide financial crisis) and May 2010-January 2012 (European sovereign debt crisis). We show that both liquidity risk and risk related to the country of the issuing firms affect corporate bond spread. We also find that the market yield of corporate bonds issued in the main European countries is, other things being equal, strongly influenced by the risk of the corresponding sovereign bonds and Credit Default Swap (CDS). Finally, we compare the yields of bonds issued by banks with those of bonds issued by firms from other sectors and find that the spread, other things being equal, is significantly higher for banks. These findings may have operating implications for market activity, regulators and policy makers.

Suggested Citation

  • Maria Cristina Arcuri & Gino Gandolfi & Manou Monteux & Giovanni Verga, 2021. "What Factors Influence European Corporate Bond Spread?," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(4), pages 1-87, July.
    • Handle: RePEc:ibn:ijbmjn:v:15:y:2021:i:4:p:87
    as

    Download full text from publisher

    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/download/0/0/42269/44038
    Download Restriction: no
    File URL: http://www.ccsenet.org/journal/index.php/ijbm/article/view/0/42269
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Acharya, Viral V. & Pedersen, Lasse Heje, 2005. "Asset pricing with liquidity risk," Journal of Financial Economics, Elsevier, vol. 77(2), pages 375-410, August.
    2. Antonio Díaz & Eliseo Navarro, 2002. "Yield Spread and Term to Maturity: Default vs. Liquidity," European Financial Management, European Financial Management Association, vol. 8(4), pages 449-477, December.
    3. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," Review of Finance, European Finance Association, vol. 33(5), pages 2223-2273.
    4. Alter, Adrian & Schüler, Yves S., 2012. "Credit spread interdependencies of European states and banks during the financial crisis," Journal of Banking & Finance, Elsevier, vol. 36(12), pages 3444-3468.
    5. Kamara, Avraham, 1994. "Liquidity, Taxes, and Short-Term Treasury Yields," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 29(3), pages 403-417, September.
    6. Shihao Gu & Bryan Kelly & Dacheng Xiu, 2020. "Empirical Asset Pricing via Machine Learning," The Review of Financial Studies, Society for Financial Studies, vol. 33(5), pages 2223-2273.
    7. Péter Kondor & Dimitri Vayanos, 2019. "Liquidity Risk and the Dynamics of Arbitrage Capital," Journal of Finance, American Finance Association, vol. 74(3), pages 1139-1173, June.
    8. repec:bla:jfinan:v:44:y:1989:i:2:p:479-86 is not listed on IDEAS
    9. Amihud, Yakov, 2002. "Illiquidity and stock returns: cross-section and time-series effects," Journal of Financial Markets, Elsevier, vol. 5(1), pages 31-56, January.
    10. Acharya, Viral V. & Amihud, Yakov & Bharath, Sreedhar T., 2013. "Liquidity risk of corporate bond returns: conditional approach," Journal of Financial Economics, Elsevier, vol. 110(2), pages 358-386.
    11. Warga, Arthur, 1992. "Bond Returns, Liquidity, and Missing Data," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 27(4), pages 605-617, December.
    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. Díaz, Antonio & Escribano, Ana, 2017. "Liquidity measures throughout the lifetime of the U.S. Treasury bond," Journal of Financial Markets, Elsevier, vol. 33(C), pages 42-74.
    2. Peter Christoffersen & Ruslan Goyenko & Kris Jacobs & Mehdi Karoui, 2018. "Illiquidity Premia in the Equity Options Market," The Review of Financial Studies, Society for Financial Studies, vol. 31(3), pages 811-851.
    3. Paul Handro & Bogdan Dima, 2024. "Analyzing Financial Markets Efficiency: Insights from a Bibliometric and Content Review," Journal of Financial Studies, Institute of Financial Studies, vol. 16(9), pages 119-175, May.
    4. Goldstein, Michael A. & Namin, Elmira Shekari, 2023. "Corporate bond liquidity and yield spreads: A review," Research in International Business and Finance, Elsevier, vol. 65(C).
    5. Lewis, Kurt F. & Longstaff, Francis A. & Petrasek, Lubomir, 2021. "Asset mispricing," Journal of Financial Economics, Elsevier, vol. 141(3), pages 981-1006.
    6. Vayanos, Dimitri & Wang, Jiang, 2013. "Market Liquidity—Theory and Empirical Evidence ," Handbook of the Economics of Finance, in: G.M. Constantinides & M. Harris & R. M. Stulz (ed.), Handbook of the Economics of Finance, volume 2, chapter 0, pages 1289-1361, Elsevier.
    7. Sun, Chuanping, 2024. "Factor correlation and the cross section of asset returns: A correlation-robust machine learning approach," Journal of Empirical Finance, Elsevier, vol. 77(C).
    8. Ahn, Jungkyu, 2024. "Options illiquidity in an over-the-counter market," International Review of Financial Analysis, Elsevier, vol. 94(C).
    9. Modena, Matteo & Linciano, Nadia & Gentile, Monica & Fancello, Francesco, 2014. "The liquidity of dual-listed corporate bonds: empirical evidence from Italian markets," MPRA Paper 62479, University Library of Munich, Germany, revised 23 Feb 2015.
    10. Stefan Fiesel & Marliese Uhrig-Homburg, 2016. "Illiquidity Transmission in a Three-Country Framework: A Conditional Approach," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 17(3), pages 261-284, December.
    11. Dimitri Vayanos, 2004. "Flight to Quality, Flight to Liquidity, and the Pricing of Risk," NBER Working Papers 10327, National Bureau of Economic Research, Inc.
    12. Díaz, Antonio & Escribano, Ana, 2020. "Measuring the multi-faceted dimension of liquidity in financial markets: A literature review," Research in International Business and Finance, Elsevier, vol. 51(C).
    13. Tobek, Ondrej & Hronec, Martin, 2021. "Does it pay to follow anomalies research? Machine learning approach with international evidence," Journal of Financial Markets, Elsevier, vol. 56(C).
    14. Yakov Amihud & Haim Mendelson, 2006. "Stock and Bond Liquidity and its Effect on Prices and Financial Policies," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 20(1), pages 19-32, April.
    15. Kurt F. Lewis & Francis A. Longstaff & Lubomir Petrasek, 2017. "Asset Mispricing," NBER Working Papers 23231, National Bureau of Economic Research, Inc.
    16. Jozef Barunik & Martin Hronec & Ondrej Tobek, 2024. "Predicting the distributions of stock returns around the globe in the era of big data and learning," Papers 2408.07497, arXiv.org.
    17. Arakelyan, Armen & Rubio, Gonzalo & Serrano, Pedro, 2015. "The reward for trading illiquid maturities in credit default swap markets," International Review of Economics & Finance, Elsevier, vol. 39(C), pages 376-389.
    18. Jiang, Lei, 2014. "Stock liquidity and the Taylor rule," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 202-214.
    19. Guo, Li & Sang, Bo & Tu, Jun & Wang, Yu, 2024. "Cross-cryptocurrency return predictability," Journal of Economic Dynamics and Control, Elsevier, vol. 163(C).
    20. Cao, Sean & Jiang, Wei & Wang, Junbo & Yang, Baozhong, 2024. "From Man vs. Machine to Man + Machine: The art and AI of stock analyses," Journal of Financial Economics, Elsevier, vol. 160(C).

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:ijbmjn:v:15:y:2021:i:4:p:87. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.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.