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US Corporate Default Swap Valuation: The Market Liquidity Hypothesis and Autonomous Credit Risk

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  • Kwamie Dunbar

    (University of Connecticut, Stamford, and Sacred Heart University)

Abstract

This paper develops a reduced form three-factor model which includes a liquidity proxy of market conditions which is then used to provide implicit prices. The model prices are then compared with observed market prices of credit default swaps to determine if swap rates adequately reflect market risks. The findings of the analysis illustrate the importance of liquidity in the valuation process. Moreover, market liquidity, a measure of investors. willingness to commit resources in the credit default swap (CDS) market, was also found to improve the valuation of investors. autonomous credit risk. Thus a failure to include a liquidity proxy could underestimate the implied autonomous credit risk. Autonomous credit risk is defined as the fractional credit risk which does not vary with changes in market risk and liquidity conditions.

Suggested Citation

  • Kwamie Dunbar, 2007. "US Corporate Default Swap Valuation: The Market Liquidity Hypothesis and Autonomous Credit Risk," Working papers 2007-08, University of Connecticut, Department of Economics.
    • Handle: RePEc:uct:uconnp:2007-08
    Note: This is a preprint of an article submitted for consideration in the Journal of Quantitative finance 2007; cc Taylor and Francis; The Journal of Quantitative Finance is available online at http://journalsonline.tandf.co.uk/
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    References listed on IDEAS

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    Cited by:

    1. Kwamie Dunbar & Abu S. Amin, 2012. "Credit risk dynamics in response to changes in the federal funds target: The implication for firm short‐term debt," Review of Financial Economics, John Wiley & Sons, vol. 21(3), pages 141-152, September.
    2. Michele Leonardo Bianchi, 2012. "An empirical comparison of alternative credit default swap pricing models," Temi di discussione (Economic working papers) 882, Bank of Italy, Economic Research and International Relations Area.
    3. 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.
    4. Kwamie Dunbar, 2009. "The Effects of Credit Risk on Dynamic Portfolio Management: A New Computational Approach," Working papers 2009-03, University of Connecticut, Department of Economics, revised Feb 2009.
    5. Michele Bianchi & Frank Fabozzi, 2015. "Investigating the Performance of Non-Gaussian Stochastic Intensity Models in the Calibration of Credit Default Swap Spreads," Computational Economics, Springer;Society for Computational Economics, vol. 46(2), pages 243-273, August.
    6. Rösch, Christoph G. & Kaserer, Christoph, 2014. "Reprint of: Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 152-170.
    7. Bühler, Wolfgang & Trapp, Monika, 2009. "Time-varying credit risk and liquidity premia in bond and CDS markets," CFR Working Papers 09-13, University of Cologne, Centre for Financial Research (CFR).
    8. Rösch, Christoph G. & Kaserer, Christoph, 2013. "Market liquidity in the financial crisis: The role of liquidity commonality and flight-to-quality," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2284-2302.

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    Keywords

    Credit Default Swaps; Market Liquidity; Bid-Ask Spreads; Autonomous Credit Risk; Risk Premium;
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