IDEAS home Printed from https://ideas.repec.org/p/arx/papers/1611.02952.html
   My bibliography  Save this paper

Unexpected Default in an Information Based Model

Author

Listed:
  • Matteo Ludovico Bedini
  • Rainer Buckdahn
  • Hans-Jurgen Engelbert

Abstract

This paper provides sufficient conditions for the time of bankruptcy (of a company or a state) for being a totally inaccessible stopping time and provides the explicit computation of its compensator in a framework where the flow of market information on the default is modelled explicitly with a Brownian bridge between 0 and 0 on a random time interval.

Suggested Citation

  • Matteo Ludovico Bedini & Rainer Buckdahn & Hans-Jurgen Engelbert, 2016. "Unexpected Default in an Information Based Model," Papers 1611.02952, arXiv.org.
    • Handle: RePEc:arx:papers:1611.02952
    as

    Download full text from publisher

    File URL: http://arxiv.org/pdf/1611.02952
    File Function: Latest version
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Monique Jeanblanc & Marc Yor & Marc Chesney, 2010. "Mathematical Methods for Financial Markets," Finance, Presses universitaires de Grenoble, vol. 31(1), pages 81-85.
    2. Giesecke, Kay, 2006. "Default and information," Journal of Economic Dynamics and Control, Elsevier, vol. 30(11), pages 2281-2303, November.
    3. Jeanblanc, Monique & Le Cam, Yann, 2009. "Progressive enlargement of filtrations with initial times," Stochastic Processes and their Applications, Elsevier, vol. 119(8), pages 2523-2543, August.
    4. Matteo Ludovico Bedini & Rainer Buckdahn & Hans-Jurgen Engelbert, 2016. "Brownian Bridges on Random Intervals," Papers 1601.01811, arXiv.org.
    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. Bedini, Matteo L. & Hinz, Michael, 2017. "Credit default prediction and parabolic potential theory," Statistics & Probability Letters, Elsevier, vol. 124(C), pages 121-125.

    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. Matteo Ludovico Bedini & Rainer Buckdahn & Hans-Jurgen Engelbert, 2016. "Brownian Bridges on Random Intervals," Papers 1601.01811, arXiv.org.
    2. Bedini, Matteo L. & Hinz, Michael, 2017. "Credit default prediction and parabolic potential theory," Statistics & Probability Letters, Elsevier, vol. 124(C), pages 121-125.
    3. Gady Jacoby & Chuan Liao & Jonathan A. Batten, 2007. "A Pure Test for the Elasticity of Yield Spreads," The Institute for International Integration Studies Discussion Paper Series iiisdp195, IIIS.
    4. Wolff, Christian & Bams, Dennis & Pisa, Magdalena, 2015. "Credit risk characteristics of US small business portfolios," CEPR Discussion Papers 10889, C.E.P.R. Discussion Papers.
    5. Egloff, Daniel & Leippold, Markus & Vanini, Paolo, 2007. "A simple model of credit contagion," Journal of Banking & Finance, Elsevier, vol. 31(8), pages 2475-2492, August.
    6. Tingqiang Chen & Suyang Wang, 2023. "Incomplete information model of credit default of micro and small enterprises," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 2956-2974, July.
    7. Howard Qi & Yan Alice Xie & Sheen Liu, 2010. "Credit Risk Models: An Analysis Of Default Correlation," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 4(1), pages 37-49.
    8. Huayuan Dong & Paolo Guasoni & Eberhard Mayerhofer, 2023. "Rogue traders," Finance and Stochastics, Springer, vol. 27(3), pages 539-603, July.
    9. 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.
    10. Tingqiang Chen & Xindan Li & Jining Wang, 2015. "Spatial Interaction Model of Credit Risk Contagion in the CRT Market," Computational Economics, Springer;Society for Computational Economics, vol. 46(4), pages 519-537, December.
    11. Caroline Hillairet & Ying Jiao, 2012. "Credit Risk with asymmetric information on the default threshold," Post-Print hal-00663136, HAL.
    12. 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).
    13. Sheen Liu & Howard Qi & Jian Shi & Yan Alice Xie, 2015. "Inferring Default Correlation from Equity Return Correlation," European Financial Management, European Financial Management Association, vol. 21(2), pages 333-359, March.
    14. Xin Guo & Yan Zeng, 2008. "Intensity process and compensator: A new filtration expansion approach and the Jeulin--Yor theorem," Papers 0801.3191, arXiv.org.
    15. Sottile, Pedro, 2013. "On the political determinants of sovereign risk: Evidence from a Markov-switching vector autoregressive model for Argentina," Emerging Markets Review, Elsevier, vol. 15(C), pages 160-185.
    16. 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.
    17. Lindset, Snorre & Lund, Arne-Christian & Persson, Svein-Arne, 2014. "Credit risk and asymmetric information: A simplified approach," Journal of Economic Dynamics and Control, Elsevier, vol. 39(C), pages 98-112.
    18. Guarin, Alexander & Liu, Xiaoquan & Ng, Wing Lon, 2011. "Enhancing credit default swap valuation with meshfree methods," European Journal of Operational Research, Elsevier, vol. 214(3), pages 805-813, November.
    19. Jeanblanc, Monique & Song, Shiqi, 2015. "Martingale representation property in progressively enlarged filtrations," Stochastic Processes and their Applications, Elsevier, vol. 125(11), pages 4242-4271.
    20. Corvino, Raffaele & Fusai, Gianluca, 2022. "Default risk premium and asset prices," Journal of Financial Stability, Elsevier, vol. 60(C).

    More about this item

    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:arx:papers:1611.02952. 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: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .

    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.