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The extent of informational efficiency in the credit default swap market: evidence from post-earnings announcement returns

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  • Nicole Thorne Jenkins

    (University of Kentucky)

  • Michael D. Kimbrough

    (University of Maryland)

  • Juan Wang

    (Central Connecticut State University)

Abstract

Under semi-strong market efficiency future returns are unpredictable from previously released information. We test the degree of semi-strong form market efficiency in the credit default swap (CDS) market by examining the relationship between subsequent CDS returns and previously announced quarterly earnings surprises and quarterly accruals, both of which have been the source of stock market anomalies. We conduct our analysis over three time periods: (1) before the credit crisis that spanned from July 2007 to June 2009, (2) during the credit crisis, and (3) after the credit crisis. Both before and after the credit crisis, the CDS market was efficient, exhibiting no systematic relation between subsequent CDS returns and previously announced accounting information. During the credit crisis, however, we find that both quarterly earnings surprises and quarterly accruals are associated with systematic patterns in subsequent CDS returns that are consistent with underreaction to both measures. In the latter stages of the crisis, the pattern reverses, consistent with the CDS market overreacting to both measures although the overreaction is short-lived. Collectively, our results indicate that the CDS market is efficient during periods of relative economic stability but call into question its efficiency during less stable economic periods.

Suggested Citation

  • Nicole Thorne Jenkins & Michael D. Kimbrough & Juan Wang, 2016. "The extent of informational efficiency in the credit default swap market: evidence from post-earnings announcement returns," Review of Quantitative Finance and Accounting, Springer, vol. 46(4), pages 725-761, May.
  • Handle: RePEc:kap:rqfnac:v:46:y:2016:i:4:d:10.1007_s11156-014-0484-y
    DOI: 10.1007/s11156-014-0484-y
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    2. Shahzad, Syed Jawad Hussain & Nor, Safwan Mohd & Mensi, Walid & Kumar, Ronald Ravinesh, 2017. "Examining the efficiency and interdependence of US credit and stock markets through MF-DFA and MF-DXA approaches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 471(C), pages 351-363.
    3. Ulf Mohrmann & Jan Riepe, 2019. "The link between the share of banks’ Level 3 assets and their default risk and default costs," Review of Quantitative Finance and Accounting, Springer, vol. 52(4), pages 1163-1189, May.
    4. Josef Fink, 2020. "A Review of the Post-Earnings-Announcement Drift," Working Paper Series, Social and Economic Sciences 2020-04, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    5. Sensoy, Ahmet & Fabozzi, Frank J. & Eraslan, Veysel, 2017. "Predictability dynamics of emerging sovereign CDS markets," Economics Letters, Elsevier, vol. 161(C), pages 5-9.
    6. Torri, Gabriele & Giacometti, Rosella & Paterlini, Sandra, 2018. "Robust and sparse banking network estimation," European Journal of Operational Research, Elsevier, vol. 270(1), pages 51-65.
    7. Fink, Josef, 2021. "A review of the Post-Earnings-Announcement Drift," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
    8. Nasiri, Maryam Akbari & Narayan, Paresh Kumar & Mishra, Sagarika, 2019. "Reaction of the credit default swap market to the release of periodic financial reports," International Review of Financial Analysis, Elsevier, vol. 65(C).
    9. Tavy Ronen & Oleg Sokolinskiy & Ben Sopranzetti, 2020. "The risk management implications of using end of day consensus pricing for single name CDS," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 269-304, July.
    10. Alena Audzeyeva & Xu Wang, 2023. "Fundamentals, real-time uncertainty and CDS index spreads," Review of Quantitative Finance and Accounting, Springer, vol. 61(1), pages 1-33, July.
    11. Pervaiz Alam & Xiaoling Pu & Barry Hettler & Hai Lin, 2020. "The pricing of accruals quality in credit default swap spreads," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 60(3), pages 1943-1977, September.
    12. Shahzad, Syed Jawad Hussain & Mensi, Walid & Hammoudeh, Shawkat & Balcilar, Mehmet & Shahbaz, Muhammad, 2018. "Distribution specific dependence and causality between industry-level U.S. credit and stock markets," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 52(C), pages 114-133.
    13. Saker Sabkha & Christian Peretti & Dorra Hmaied, 2019. "The Credit Default Swap market contagion during recent crises: international evidence," Review of Quantitative Finance and Accounting, Springer, vol. 53(1), pages 1-46, July.

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    More about this item

    Keywords

    Credit default swaps; Market efficiency; Default risk; Post earnings announcement drift; Accrual anomaly;
    All these keywords.

    JEL classification:

    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G32 - Financial Economics - - Corporate Finance and Governance - - - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure; Value of Firms; Goodwill

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