IDEAS home Printed from https://ideas.repec.org/a/eee/jfinec/v103y2012i3p611-631.html
   My bibliography  Save this article

Endogenous liquidity in credit derivatives

Author

Listed:
  • Qiu, Jiaping
  • Yu, Fan

Abstract

We study the determination of liquidity provision in the single-name credit default swap (CDS) market as measured by the number of distinct dealers providing quotes. We find that liquidity is concentrated among large obligors and those near the investment-grade/speculative-grade cutoff. Consistent with endogenous liquidity provision by informed financial institutions, more liquidity is associated with obligors for which there is a greater information flow from the CDS market to the stock market ahead of major credit events. Furthermore, the level of information heterogeneity plays an important role in how liquidity provision responds to transaction demand and how liquidity is priced into the CDS premium.

Suggested Citation

  • Qiu, Jiaping & Yu, Fan, 2012. "Endogenous liquidity in credit derivatives," Journal of Financial Economics, Elsevier, vol. 103(3), pages 611-631.
    • Handle: RePEc:eee:jfinec:v:103:y:2012:i:3:p:611-631
    DOI: 10.1016/j.jfineco.2011.10.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304405X1100242X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jfineco.2011.10.010?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. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. 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.
    3. Wahal, Sunil, 1997. "Entry, Exit, Market Makers, and the Bid-Ask Spread," Review of Financial Studies, Society for Financial Studies, vol. 10(3), pages 871-901.
    4. Bloomfield, Robert & O'Hara, Maureen & Saar, Gideon, 2005. "The "make or take" decision in an electronic market: Evidence on the evolution of liquidity," Journal of Financial Economics, Elsevier, vol. 75(1), pages 165-199, January.
    5. Acharya, Viral V. & Johnson, Timothy C., 2010. "More insiders, more insider trading: Evidence from private-equity buyouts," Journal of Financial Economics, Elsevier, vol. 98(3), pages 500-523, December.
    6. Glosten, Lawrence R. & Milgrom, Paul R., 1985. "Bid, ask and transaction prices in a specialist market with heterogeneously informed traders," Journal of Financial Economics, Elsevier, vol. 14(1), pages 71-100, March.
    7. Duffie, Darrell & Li, Ada & Lubke, Theo, 2010. "Policy Perspectives on OTC Derivatives Market Infrastructure," Research Papers 2046, Stanford University, Graduate School of Business.
    8. Dion Bongaerts & Frank De Jong & Joost Driessen, 2011. "Derivative Pricing with Liquidity Risk: Theory and Evidence from the Credit Default Swap Market," Journal of Finance, American Finance Association, vol. 66(1), pages 203-240, February.
    9. Theo Lubke & Ada Li & Darrell Duffie, 2010. "Policy perspectives on OTC derivatives market infrastructure," Staff Reports 424, Federal Reserve Bank of New York.
    10. Darren J. Kisgen & Philip E. Strahan, 2010. "Do Regulations Based on Credit Ratings Affect a Firm's Cost of Capital?," Review of Financial Studies, Society for Financial Studies, vol. 23(12), pages 4324-4347, December.
    11. Ron Kaniel & Hong Liu, 2006. "So What Orders Do Informed Traders Use?," The Journal of Business, University of Chicago Press, vol. 79(4), pages 1867-1914, July.
    12. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-1335, November.
    13. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    14. Acharya, Viral V. & Johnson, Timothy C., 2007. "Insider trading in credit derivatives," Journal of Financial Economics, Elsevier, vol. 84(1), pages 110-141, April.
    15. Bharath, Sreedhar & Dahiya, Sandeep & Saunders, Anthony & Srinivasan, Anand, 2007. "So what do I get? The bank's view of lending relationships," Journal of Financial Economics, Elsevier, vol. 85(2), pages 368-419, August.
    16. Amir Sufi, 2007. "Information Asymmetry and Financing Arrangements: Evidence from Syndicated Loans," Journal of Finance, American Finance Association, vol. 62(2), pages 629-668, April.
    17. Goettler, Ronald L. & Parlour, Christine A. & Rajan, Uday, 2009. "Informed traders and limit order markets," Journal of Financial Economics, Elsevier, vol. 93(1), pages 67-87, July.
    18. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    19. Katrina Ellis & Roni Michaely & Maureen O'Hara, 2002. "The Making of a Dealer Market: From Entry to Equilibrium in the Trading of Nasdaq Stocks," Journal of Finance, American Finance Association, vol. 57(5), pages 2289-2316, October.
    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. Comerton-Forde, Carole & Putniņš, Tālis J., 2015. "Dark trading and price discovery," Journal of Financial Economics, Elsevier, vol. 118(1), pages 70-92.
    2. Baruch, Shmuel & Panayides, Marios & Venkataraman, Kumar, 2017. "Informed trading and price discovery before corporate events," Journal of Financial Economics, Elsevier, vol. 125(3), pages 561-588.
    3. Corò, Filippo & Dufour, Alfonso & Varotto, Simone, 2013. "Credit and liquidity components of corporate CDS spreads," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5511-5525.
    4. Mazza, Paolo, 2015. "Price dynamics and market liquidity: An intraday event study on Euronext," The Quarterly Review of Economics and Finance, Elsevier, vol. 56(C), pages 139-153.
    5. Gündüz, Yalin & Nasev, Julia & Trapp, Monika, 2012. "The price impact of CDS trading," CFR Working Papers 12-12, University of Cologne, Centre for Financial Research (CFR).
    6. Gehde-Trapp, Monika & Gündüz, Yalin & Nasev, Julia, 2015. "The liquidity premium in CDS transaction prices: Do frictions matter?," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 184-205.
    7. Anand, Amber & Gatchev, Vladimir A. & Madureira, Leonardo & Pirinsky, Christo A. & Underwood, Shane, 2011. "Geographic proximity and price discovery: Evidence from NASDAQ," Journal of Financial Markets, Elsevier, vol. 14(2), pages 193-226, May.
    8. Vincent Grégoire & Charles Martineau, 2022. "How is Earnings News Transmitted to Stock Prices?," Journal of Accounting Research, Wiley Blackwell, vol. 60(1), pages 261-297, March.
    9. Murphy Jun Jie Lee, 2013. "The Microstructure of Trading Processes on the Singapore Exchange," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 4, July-Dece.
    10. Thanh Huong Nguyen, 2019. "Information and Noise in Stock Markets: Evidence on the Determinants and Effects Using New Empirical Measures," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 7-2019.
    11. Jeff Madura & Marek Marciniak, 2014. "Characteristics of takeover targets that trigger insider trading investigations," Applied Financial Economics, Taylor & Francis Journals, vol. 24(1), pages 1-18, January.
    12. Adam B. Ashcraft & João A. C. Santos, 2007. "Has the credit derivatives swap market lowered the cost of corporate debt?," Staff Reports 290, Federal Reserve Bank of New York.
    13. Biais, Bruno & Glosten, Larry & Spatt, Chester, 2005. "Market microstructure: A survey of microfoundations, empirical results, and policy implications," Journal of Financial Markets, Elsevier, vol. 8(2), pages 217-264, May.
    14. Arnold, M., 2017. "The impact of central clearing on banks’ lending discipline," Journal of Financial Markets, Elsevier, vol. 36(C), pages 91-114.
    15. Marvin Wee & Joey W. Yang, 2016. "The Evolution of Informed Liquidity Provision: Evidence from an Order†driven Market," European Financial Management, European Financial Management Association, vol. 22(5), pages 882-915, November.
    16. Roberto Riccò & Barbara Rindi & Duane J. Seppi, 2020. "Information, Liquidity, and Dynamic Limit Order Markets," Working Papers 660, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
    17. Alex Boulatov & Thomas J. George, 2013. "Hidden and Displayed Liquidity in Securities Markets with Informed Liquidity Providers," Review of Financial Studies, Society for Financial Studies, vol. 26(8), pages 2096-2137.
    18. Allen, Linda & Gottesman, Aron A. & Peng, Lin, 2012. "The impact of joint participation on liquidity in equity and syndicated bank loan markets," Journal of Financial Intermediation, Elsevier, vol. 21(1), pages 50-78.
    19. Menkhoff, Lukas & Osler, Carol L. & Schmeling, Maik, 2010. "Limit-order submission strategies under asymmetric information," Journal of Banking & Finance, Elsevier, vol. 34(11), pages 2665-2677, November.
    20. Vinay Patel, 2015. "Price Discovery in US and Australian Stock and Options Markets," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 27, July-Dece.

    More about this item

    Keywords

    Credit derivatives; Dealers; Liquidity provision; Informed trading;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

    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:jfinec:v:103:y:2012:i:3:p:611-631. 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/inca/505576 .

    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.