IDEAS home Printed from https://ideas.repec.org/a/eee/finsta/v60y2022ics1572308922000390.html
   My bibliography  Save this article

Default risk premium and asset prices

Author

Listed:
  • Corvino, Raffaele
  • Fusai, Gianluca

Abstract

We estimate a standard structural model of credit risk to draw insights about the premium demanded by investors for bearing default risk, using data on credit default swaps and market capitalization. We pin down the daily market value of assets for a set of non-financial firms and uncover cross-sectional heterogeneity in terms of the magnitude and time variation of the premium. By exploring the link between asset and default risk premia, we show that this heterogeneity closely depends on the relationship between the firm-specific market value of the assets and the business cycle.

Suggested Citation

  • Corvino, Raffaele & Fusai, Gianluca, 2022. "Default risk premium and asset prices," Journal of Financial Stability, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:finsta:v:60:y:2022:i:c:s1572308922000390
    DOI: 10.1016/j.jfs.2022.101014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1572308922000390
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jfs.2022.101014?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Francis A. Longstaff & Sanjay Mithal & Eric Neis, 2005. "Corporate Yield Spreads: Default Risk or Liquidity? New Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 60(5), pages 2213-2253, October.
    2. Duffie, Darrell & Lando, David, 2001. "Term Structures of Credit Spreads with Incomplete Accounting Information," Econometrica, Econometric Society, vol. 69(3), pages 633-664, May.
    3. Leland, Hayne E & Toft, Klaus Bjerre, 1996. "Optimal Capital Structure, Endogenous Bankruptcy, and the Term Structure of Credit Spreads," Journal of Finance, American Finance Association, vol. 51(3), pages 987-1019, July.
    4. 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.
    5. Bonaparte, Yosef & Korniotis, George M. & Kumar, Alok, 2014. "Income hedging and portfolio decisions," Journal of Financial Economics, Elsevier, vol. 113(2), pages 300-324.
    6. 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.
    7. Joost Driessen, 2005. "Is Default Event Risk Priced in Corporate Bonds?," The Review of Financial Studies, Society for Financial Studies, vol. 18(1), pages 165-195.
    8. Jing-Zhi Huang & Zhan Shi & Hao Zhou, 2020. "Specification Analysis of Structural Credit Risk Models [Corporate bond valuation and hedging with stochastic interest rates and endogenous bankruptcy]," Review of Finance, European Finance Association, vol. 24(1), pages 45-98.
    9. Giesecke, Kay, 2006. "Default and information," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 2281-2303, November.
    10. Nils Friewald & Christian Wagner & Josef Zechner, 2014. "The Cross-Section of Credit Risk Premia and Equity Returns," Journal of Finance, American Finance Association, vol. 69(6), pages 2419-2469, December.
    11. Han, Bing & Subrahmanyam, Avanidhar & Zhou, Yi, 2017. "The term structure of credit spreads, firm fundamentals, and expected stock returns," Journal of Financial Economics, Elsevier, vol. 124(1), pages 147-171.
    12. Díaz, Antonio & Groba, Jonatan & Serrano, Pedro, 2013. "What drives corporate default risk premia? Evidence from the CDS market," Journal of International Money and Finance, Elsevier, vol. 37(C), pages 529-563.
    13. Black, Fischer & Cox, John C, 1976. "Valuing Corporate Securities: Some Effects of Bond Indenture Provisions," Journal of Finance, American Finance Association, vol. 31(2), pages 351-367, May.
    14. Hoi Ying Wong & Tsz Wang Choi, 2009. "Estimating default barriers from market information," Quantitative Finance, Taylor & Francis Journals, vol. 9(2), pages 187-196.
    15. Jing-Zhi Huang & Ming Huang, 2012. "How Much of the Corporate-Treasury Yield Spread Is Due to Credit Risk?," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 2(2), pages 153-202.
    16. Douglas, Rohan & Berndt, Antje & Duffie, Darrell & Ferguson, Mark, 2017. "Corporate Credit Risk Premia," Research Papers repec:ecl:stabus:3617, Stanford University, Graduate School of Business.
    17. Du Du & Redouane Elkamhi & Jan Ericsson, 2019. "Time‐Varying Asset Volatility and the Credit Spread Puzzle," Journal of Finance, American Finance Association, vol. 74(4), pages 1841-1885, August.
    18. Reisz, Alexander S. & Perlich, Claudia, 2007. "A market-based framework for bankruptcy prediction," Journal of Financial Stability, Elsevier, vol. 3(2), pages 85-131, July.
    19. Forte, Santiago & Lovreta, Lidija, 2012. "Endogenizing exogenous default barrier models: The MM algorithm," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1639-1652.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Palazzo, Berardino & Yamarthy, Ram, 2022. "Credit risk and the transmission of interest rate shocks," Journal of Monetary Economics, Elsevier, vol. 130(C), pages 120-136.

    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. Murphy, Austin & Headley, Adrian, 2022. "An empirical evaluation of alternative fundamental models of credit spreads," International Review of Financial Analysis, Elsevier, vol. 81(C).
    2. Augustin, Patrick & Subrahmanyam, Marti G. & Tang, Dragon Yongjun & Wang, Sarah Qian, 2014. "Credit Default Swaps: A Survey," Foundations and Trends(R) in Finance, now publishers, vol. 9(1-2), pages 1-196, December.
    3. Bougias, Alexandros & Episcopos, Athanasios & Leledakis, George N., 2022. "The role of asset payouts in the estimation of default barriers," International Review of Financial Analysis, Elsevier, vol. 81(C).
    4. Zimmermann, Paul, 2021. "The role of the leverage effect in the price discovery process of credit markets," Journal of Economic Dynamics and Control, Elsevier, vol. 122(C).
    5. Luca Benzoni & Lorenzo Garlappi & Robert Goldstein, 2023. "Incomplete Information, Debt Issuance, and the Term Structure of Credit Spreads," Management Science, INFORMS, vol. 69(7), pages 4331-4352, July.
    6. Luca Benzoni & Lorenzo Garlappi & Robert S. Goldstein, 2019. "Asymmetric Information, Dynamic Debt Issuance, and the Term Structure of Credit Spreads," Working Paper Series WP-2019-8, Federal Reserve Bank of Chicago.
    7. 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).
    8. Avino, Davide & Nneji, Ogonna, 2014. "Are CDS spreads predictable? An analysis of linear and non-linear forecasting models," International Review of Financial Analysis, Elsevier, vol. 34(C), pages 262-274.
    9. repec:wyi:journl:002109 is not listed on IDEAS
    10. Han, Bing & Zhou, Yi, 2015. "Understanding the term structure of credit default swap spreads," Journal of Empirical Finance, Elsevier, vol. 31(C), pages 18-35.
    11. Ericsson, Jan & Jacobs, Kris & Oviedo, Rodolfo, 2009. "The Determinants of Credit Default Swap Premia," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(1), pages 109-132, February.
    12. Gregory Connor & Lisa R. Goldberg & Robert A. Korajczyk, 2010. "Portfolio Risk Analysis," Economics Books, Princeton University Press, edition 1, number 9224.
    13. Jing-Zhi Huang & Bibo Liu & Zhan Shi, 2023. "Determinants of Short-Term Corporate Yield Spreads: Evidence from the Commercial Paper Market," Review of Finance, European Finance Association, vol. 27(2), pages 539-579.
    14. Zhijian (James) Huang & Yuchen Luo, 2016. "Revisiting Structural Modeling of Credit Risk—Evidence from the Credit Default Swap (CDS) Market," JRFM, MDPI, vol. 9(2), pages 1-20, May.
    15. Dionne, Georges & Laajimi, Sadok, 2012. "On the determinants of the implied default barrier," Journal of Empirical Finance, Elsevier, vol. 19(3), pages 395-408.
    16. Giesecke, Kay & Longstaff, Francis A. & Schaefer, Stephen & Strebulaev, Ilya, 2011. "Corporate bond default risk: A 150-year perspective," Journal of Financial Economics, Elsevier, vol. 102(2), pages 233-250.
    17. Zhou, Xinghua & Reesor, R. Mark, 2015. "Misrepresentation and capital structure: Quantifying the impact on corporate debt value," Journal of Corporate Finance, Elsevier, vol. 34(C), pages 293-310.
    18. Becchetti, Leonardo & Carpentieri, Andrea & Hasan, Iftekhar, 2009. "The determinants of option-adjusted delta credit spreads : a comparative analysis of the United States, the United Kingdom and the euro area," Research Discussion Papers 34/2009, Bank of Finland.
    19. Reisz, Alexander S. & Perlich, Claudia, 2007. "A market-based framework for bankruptcy prediction," Journal of Financial Stability, Elsevier, vol. 3(2), pages 85-131, July.
    20. Landschoot, Astrid Van, 2008. "Determinants of yield spread dynamics: Euro versus US dollar corporate bonds," Journal of Banking & Finance, Elsevier, vol. 32(12), pages 2597-2605, December.
    21. Gehrig, Thomas & Füss, Roland & Rindler, Philipp B, 2011. "Scattered Trust - Did the 2007-08 financial crisis change risk perceptions?," CEPR Discussion Papers 8714, C.E.P.R. Discussion Papers.

    More about this item

    Keywords

    Default risk; Risk premium; Structural model; Assets value; Business cycle;
    All these keywords.

    JEL classification:

    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill
    • G33 - Financial Economics - - Corporate Finance and Governance - - - Bankruptcy; Liquidation

    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:eee:finsta:v:60:y:2022:i:c:s1572308922000390. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/jfstabil .

    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.