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The risk management implications of using end of day consensus pricing for single name CDS

Author

Listed:
  • Tavy Ronen

    (Rutgers Business School: Newark and New Brunswick)

  • Oleg Sokolinskiy

    (Rutgers Business School: Newark and New Brunswick)

  • Ben Sopranzetti

    (Rutgers Business School: Newark and New Brunswick)

Abstract

When markets are opaque, market participants rely to a large extent on end-of-day consensus prices published by service providers; such as in the case of the single name credit default swaps (CDS) market. End-of-day consensus CDS prices are critical for valuation and risk management purposes, since profits and losses of inventory positions can be determined by marking to market using end-of-day consensus prices. Deviations between end-of-day prices and intraday quotes can occur due to many factors, including market illiquidity. This paper identifies determinants of such deviations, lays out the times when they can occur, and examines the impact of these deviations for risk management purposes. End-of-day consensus prices are representative of average and median intraday quotes; however, in periods of high volatility and market distress, end-of-day prices can notably differ from actual intraday quotes. Such analysis can allow market participants to better rely on end-of-day consensus prices during normal market conditions.

Suggested Citation

  • 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.
    • Handle: RePEc:kap:rqfnac:v:55:y:2020:i:1:d:10.1007_s11156-019-00843-2
    DOI: 10.1007/s11156-019-00843-2
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    1. Stephan Dieckmann & Thomas Plank, 2012. "Default Risk of Advanced Economies: An Empirical Analysis of Credit Default Swaps during the Financial Crisis," Review of Finance, European Finance Association, vol. 16(4), pages 903-934.
    2. Choi, Pilsun & Nam, Kiseok, 2008. "Asymmetric and leptokurtic distribution for heteroscedastic asset returns: The SU-normal distribution," Journal of Empirical Finance, Elsevier, vol. 15(1), pages 41-63, January.
    3. Basak, Suleyman & Shapiro, Alexander, 2001. "Value-at-Risk-Based Risk Management: Optimal Policies and Asset Prices," The Review of Financial Studies, Society for Financial Studies, vol. 14(2), pages 371-405.
    4. 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.
    5. 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.
    6. Marti G. Subrahmanyam & Dragon Yongjun Tang & Sarah Qian Wang, 2014. "Does the Tail Wag the Dog?: The Effect of Credit Default Swaps on Credit Risk," The Review of Financial Studies, Society for Financial Studies, vol. 27(10), pages 2927-2960.
    7. Duffee, Gregory R. & Zhou, Chunsheng, 2001. "Credit derivatives in banking: Useful tools for managing risk?," Journal of Monetary Economics, Elsevier, vol. 48(1), pages 25-54, August.
    8. 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.
    9. Yu Chuan Huang & Bor-Jing Lin, 2004. "Value-at-Risk Analysis for Taiwan Stock Index Futures: Fat Tails and Conditional Asymmetries in Return Innovations," Review of Quantitative Finance and Accounting, Springer, vol. 22(2), pages 79-95, March.
    10. Chee Lim & Patricia Tan, 2007. "Value relevance of value-at-risk disclosure," Review of Quantitative Finance and Accounting, Springer, vol. 29(4), pages 353-370, November.
    11. Chen, Ren-Raw & Sopranzetti, Ben J., 2003. "The Valuation of Default-Triggered Credit Derivatives," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(2), pages 359-382, June.
    12. Hull, John & Predescu, Mirela & White, Alan, 2004. "The relationship between credit default swap spreads, bond yields, and credit rating announcements," Journal of Banking & Finance, Elsevier, vol. 28(11), pages 2789-2811, November.
    13. Parlour, Christine A. & Winton, Andrew, 2013. "Laying off credit risk: Loan sales versus credit default swaps," Journal of Financial Economics, Elsevier, vol. 107(1), pages 25-45.
    14. 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.
    15. Glosten, Lawrence R & Jagannathan, Ravi & Runkle, David E, 1993. "On the Relation between the Expected Value and the Volatility of the Nominal Excess Return on Stocks," Journal of Finance, American Finance Association, vol. 48(5), pages 1779-1801, December.
    16. R. A. Rigby & D. M. Stasinopoulos, 2005. "Generalized additive models for location, scale and shape," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(3), pages 507-554, June.
    17. Benjamin Mögel & Benjamin R. Auer, 2018. "How accurate are modern Value-at-Risk estimators derived from extreme value theory?," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 979-1030, May.
    18. Haibin Zhu, 2006. "An Empirical Comparison of Credit Spreads between the Bond Market and the Credit Default Swap Market," Journal of Financial Services Research, Springer;Western Finance Association, vol. 29(3), pages 211-235, June.
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    More about this item

    Keywords

    Credit default swaps; Consensus pricing; Risk management; Default risk;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • G11 - Financial Economics - - General Financial Markets - - - Portfolio Choice; Investment Decisions
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G17 - Financial Economics - - General Financial Markets - - - Financial Forecasting and Simulation

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