IDEAS home Printed from https://ideas.repec.org/p/imf/imfwpa/2008-194.html
   My bibliography  Save this paper

The Option-iPoD

Author

Listed:
  • Christian Capuano

Abstract

We present a framework to derive the probability of default implied by the price of equity options. The framework does not require any strong statistical assumption, and provide results that are informative on the expected developments of balance sheet variables, such as assets, equity and leverage, and on the Greek letters (delta, gamma and vega). We show how to extend the framework by using information from the price of a zero-coupon bond and CDS-spreads. In the episode of the collapse of Bear Stearns, option-iPoD was able to early signal market sentiment.

Suggested Citation

  • Christian Capuano, 2008. "The Option-iPoD," IMF Working Papers 2008/194, International Monetary Fund.
  • Handle: RePEc:imf:imfwpa:2008/194
    as

    Download full text from publisher

    File URL: http://www.imf.org/external/pubs/cat/longres.aspx?sk=22187
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Buchen, Peter W. & Kelly, Michael, 1996. "The Maximum Entropy Distribution of an Asset Inferred from Option Prices," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 31(1), pages 143-159, March.
    2. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    3. Mr. Manmohan Singh & Mr. Jochen R. Andritzky, 2006. "The Pricing of Credit Default Swaps During Distress," IMF Working Papers 2006/254, International Monetary Fund.
    4. Mr. Jorge A Chan-Lau, 2006. "Market-Based Estimation of Default Probabilities and its Application to Financial Market Surveillance," IMF Working Papers 2006/104, International Monetary Fund.
    5. Miller, Douglas J. & Liu, Wei-han, 2002. "On the recovery of joint distributions from limited information," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 259-274, March.
    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. Dicembrino, Claudio & Scandizzo, Pasquale Lucio, 2011. "Can portfolio diversification increase systemic risk? evidence from the U.S and European mutual funds market," MPRA Paper 33715, University Library of Munich, Germany.
    2. Philipp Matros & Johannes Vilsmeier, 2012. "Measuring Option Implied Degree of Distress in the US Financial Sector Using the Entropy Principle," Working Papers 123, Bavarian Graduate Program in Economics (BGPE).
    3. Matros, Philipp & Vilsmeier, Johannes, 2012. "Measuring option implied degree of distress in the US financial sector using the entropy principle," Discussion Papers 30/2012, Deutsche Bundesbank.
    4. Johannes Vilsmeier, 2011. "Updating the Option Implied Probability of Default Methodology," Working Papers 107, Bavarian Graduate Program in Economics (BGPE).
    5. Dimitrios Bisias & Mark Flood & Andrew W. Lo & Stavros Valavanis, 2012. "A Survey of Systemic Risk Analytics," Annual Review of Financial Economics, Annual Reviews, vol. 4(1), pages 255-296, October.
    6. Rainer Masera, 2011. "Taking the moral hazard out of banking: the next fundamental step in financial reform," PSL Quarterly Review, Economia civile, vol. 64(257), pages 105-142.
    7. Ilknur Zer, 2015. "Information Disclosures, Default Risk, and Bank Value," Finance and Economics Discussion Series 2015-104, Board of Governors of the Federal Reserve System (U.S.).
    8. Saldías, Martín, 2013. "Systemic risk analysis using forward-looking Distance-to-Default series," Journal of Financial Stability, Elsevier, vol. 9(4), pages 498-517.
    9. Chowdhury, Biplob & Dungey, Mardi & Kangogo, Moses & Sayeed, Mohammad Abu & Volkov, Vladimir, 2019. "The changing network of financial market linkages: The Asian experience," International Review of Financial Analysis, Elsevier, vol. 64(C), pages 71-92.
    10. Jose Giancarlo Gasha & Mr. Andre O Santos & Mr. Jorge A Chan-Lau & Mr. Carlos I. Medeiros & Mr. Marcos R Souto & Christian Capuano, 2009. "Recent Advances in Credit Risk Modeling," IMF Working Papers 2009/162, International Monetary Fund.
    11. Vilsmeier, Johannes, 2011. "Updating the Option Implied Probability of Default Methodology," University of Regensburg Working Papers in Business, Economics and Management Information Systems 462, University of Regensburg, Department of Economics.
    12. Saldías, Martín, 2013. "Systemic risk analysis using forward-looking Distance-to-Default series," Journal of Financial Stability, Elsevier, vol. 9(4), pages 498-517.
    13. Markus Brunnermeier & Simon Rother & Isabel Schnabel & Itay Goldstein, 2020. "Asset Price Bubbles and Systemic Risk," The Review of Financial Studies, Society for Financial Studies, vol. 33(9), pages 4272-4317.
    14. Stefano Fenoaltea, 2010. "The reconstruction of historical national accounts: the case of Italy," PSL Quarterly Review, Economia civile, vol. 63(252), pages 77-96.
    15. Antonio Di Cesare & Anna Rogantini Picco, 2018. "A Survey of Systemic Risk Indicators," Questioni di Economia e Finanza (Occasional Papers) 458, Bank of Italy, Economic Research and International Relations Area.
    16. Matros, Philipp & Vilsmeier, Johannes, 2014. "The multivariate option iPoD framework: assessing systemic financial risk," Discussion Papers 20/2014, Deutsche Bundesbank.
    17. Philipp Matros & Johannes Vilsmeier, 2013. "The Multivariate Option iPoD Framework - Assessing Systemic Financial Risk," Working Papers 143, Bavarian Graduate Program in Economics (BGPE).
    18. Rainer Masera, 2010. "Reforming financial systems after the crisis: a comparison of EU and USA," PSL Quarterly Review, Economia civile, vol. 63(255), pages 299-362.
    19. Sessi Tokpavi, 2013. "Testing for the Systemically Important Financial Institutions: a Conditional Approach," EconomiX Working Papers 2013-27, University of Paris Nanterre, EconomiX.
    20. Madan, Dilip B. & Schoutens, Wim, 2013. "Systemic risk tradeoffs and option prices," Insurance: Mathematics and Economics, Elsevier, vol. 52(2), pages 222-230.
    21. Civitarese, Jamil, 2016. "Volatility and correlation-based systemic risk measures in the US market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 459(C), pages 55-67.
    22. Alejandro Bernales & Thanos Verousis & Nikolaos Voukelatos & Mengyu Zhang, 2020. "What do we know about individual equity options?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(1), pages 67-91, January.
    23. Vilsmeier, Johannes, 2014. "Updating the option implied probability of default methodology," Discussion Papers 43/2014, Deutsche Bundesbank.

    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. Vilsmeier, Johannes, 2014. "Updating the option implied probability of default methodology," Discussion Papers 43/2014, Deutsche Bundesbank.
    2. Kleinow, Jacob & Moreira, Fernando, 2016. "Systemic risk among European banks: A copula approach," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 42(C), pages 27-42.
    3. Jarno Talponen, 2013. "Matching distributions: Asset pricing with density shape correction," Papers 1312.4227, arXiv.org, revised Mar 2018.
    4. Daniel Law & Mr. Shaun K. Roache, 2015. "Assessing Default Risks for Chinese Firms: A Lost Cause?," IMF Working Papers 2015/140, International Monetary Fund.
    5. Andrene Senior & Sherene A. Bailey, 2017. "Estimación y pronóstico del riesgo de incumplimiento: evidencias para Jamaica," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 141-174, enero-jun.
    6. Mr. Amadou N Sy & Mr. Jorge A Chan-Lau, 2006. "Distance-to-Default in Banking: A Bridge Too Far?," IMF Working Papers 2006/215, International Monetary Fund.
    7. Sylvia Gottschalk, 2016. "Entropy and credit risk in highly correlated markets," Papers 1604.07042, arXiv.org.
    8. Gottschalk, Sylvia, 2017. "Entropy measure of credit risk in highly correlated markets," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 11-19.
    9. Andrene Senior & Sherene A. Bailey, 2017. "Estimating and Forecasting Default Risk: Evidence from Jamaica," Monetaria, Centro de Estudios Monetarios Latinoamericanos, CEMLA, vol. 0(1), pages 133-162, January-J.
    10. Gulcan Yildirim Gungor & Tuba Pelin Sumer, 2020. "Alternative Approaches for Modelling Corporate Sector Credit Risk," CBT Research Notes in Economics 2017, Research and Monetary Policy Department, Central Bank of the Republic of Turkey.
    11. 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.
    12. ilya, gikhman, 2006. "Fixed-income instrument pricing," MPRA Paper 1449, University Library of Munich, Germany.
    13. Andrew Patton, 2002. "(IAM Series No 001) On the Out-Of-Sample Importance of Skewness and Asymetric Dependence for Asset Allocation," FMG Discussion Papers dp431, Financial Markets Group.
    14. Gordian Rättich & Kim Clark & Evi Hartmann, 2011. "Performance measurement and antecedents of early internationalizing firms: A systematic assessment," Working Papers 0031, College of Business, University of Texas at San Antonio.
    15. Gerardo Manzo & Antonio Picca, 2020. "The Impact of Sovereign Shocks," Management Science, INFORMS, vol. 66(7), pages 3113-3132, July.
    16. Christophe Hurlin & Jérémy Leymarie & Antoine Patin, 2018. "Loss functions for LGD model comparison," Working Papers halshs-01516147, HAL.
    17. Neus, Werner, 2014. "Eigenkapitalnormen, Boni und Risikoanreize in Banken," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 68(2), pages 92-107.
    18. Giordani, Paolo & Jacobson, Tor & Schedvin, Erik von & Villani, Mattias, 2014. "Taking the Twists into Account: Predicting Firm Bankruptcy Risk with Splines of Financial Ratios," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(4), pages 1071-1099, August.
    19. Ulrike Malmendier & Vincenzo Pezone & Hui Zheng, 2023. "Managerial Duties and Managerial Biases," Management Science, INFORMS, vol. 69(6), pages 3174-3201, June.
    20. Lily Y. Liu, 2017. "Estimating Loss Given Default from CDS under Weak Identification," Supervisory Research and Analysis Working Papers RPA 17-1, Federal Reserve Bank of Boston.

    More about this item

    Keywords

    WP; zero-coupon bond;

    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:imf:imfwpa:2008/194. 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: Akshay Modi (email available below). General contact details of provider: https://edirc.repec.org/data/imfffus.html .

    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.