IDEAS home Printed from https://ideas.repec.org/p/nbp/nbpmis/181.html
   My bibliography  Save this paper

Estimating the risk of joint defaults: an application to central bank collateralized lending operations

Author

Listed:

Abstract

Central bank lending to commercial banks is typically collateralized which reduces central bank’s credit risk exposure to “double default events” when the counterparty and the issuer of the underlying collateral asset both default in a short period of time. This paper presents a simple model for correlated defaults which are the key drivers of residual credit risk in central bank’s repo portfolios. In the model default times of counterparties and collateral issuers are determined by idiosyncratic and systematic factors, whereby a name defaults if it is struck by either factor for the first time. The novelty of our approach lies in representing systematic factors as increasing sequences of random variables. Such a setting allows to build a rich dependence structure that is free of the flaws inherent in the Gaussian copula-based approaches currently regarded as state of the art solutions for central banks.

Suggested Citation

  • Dariusz Gatarek & Juliusz Jabłecki, 2014. "Estimating the risk of joint defaults: an application to central bank collateralized lending operations," NBP Working Papers 181, Narodowy Bank Polski.
    • Handle: RePEc:nbp:nbpmis:181
    as

    Download full text from publisher

    File URL: https://static.nbp.pl/publikacje/materialy-i-studia/181_en.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gordy, Michael B., 2003. "A risk-factor model foundation for ratings-based bank capital rules," Journal of Financial Intermediation, Elsevier, vol. 12(3), pages 199-232, July.
    2. Hanson, Samuel G. & Pesaran, M. Hashem & Schuermann, Til, 2008. "Firm heterogeneity and credit risk diversification," Journal of Empirical Finance, Elsevier, vol. 15(4), pages 583-612, September.
    3. 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.
    4. Lindskog, Filip & McNeil, Alexander J., 2003. "Common Poisson Shock Models: Applications to Insurance and Credit Risk Modelling," ASTIN Bulletin, Cambridge University Press, vol. 33(2), pages 209-238, November.
    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. M. Hashem Pesaran & Til Schuermann & Bjorn-Jakob Treutler, 2007. "Global Business Cycles and Credit Risk," NBER Chapters, in: The Risks of Financial Institutions, pages 419-469, National Bureau of Economic Research, Inc.
    2. Cipollini, Andrea & Missaglia, Giuseppe, 2007. "Dynamic Factor analysis of industry sector default rates and implication for Portfolio Credit Risk Modelling," MPRA Paper 3582, University Library of Munich, Germany.
    3. Riccardo Lisa & Stefano Zedda & Francesco Vallascas & Francesca Campolongo & Massimo Marchesi, 2011. "Modelling Deposit Insurance Scheme Losses in a Basel 2 Framework," Journal of Financial Services Research, Springer;Western Finance Association, vol. 40(3), pages 123-141, December.
    4. Nikola A. Tarashev & Haibin Zhu, 2007. "Modelling and calibration errors in measures of portfolio credit risk," BIS Working Papers 230, Bank for International Settlements.
    5. Masschelein, Nancy & Düllmann, Klaus, 2006. "Sector concentration in loan portfolios and economic capital," Discussion Paper Series 2: Banking and Financial Studies 2006,09, Deutsche Bundesbank.
    6. Rösch, Daniel & Scheule, Harald, 2012. "Capital incentives and adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 733-748.
    7. Xin Huang & Hao Zhou & Haibin Zhu, 2012. "Systemic Risk Contributions," Journal of Financial Services Research, Springer;Western Finance Association, vol. 42(1), pages 55-83, October.
    8. Arturo Cortés Aguilar, 2011. "Estimación del residual de un bono respaldado por hipotecas mediante un modelo de riesgo crédito: una comparación de resultados de la teoría de cópulas y el modelo IRB de Basilea II en datos del merca," Revista de Administración, Finanzas y Economía (Journal of Management, Finance and Economics), Tecnológico de Monterrey, Campus Ciudad de México, vol. 5(1), pages 50-64.
    9. Klomp, Jeroen, 2013. "Government interventions and default risk: Does one size fit all?," Journal of Financial Stability, Elsevier, vol. 9(4), pages 641-653.
    10. Mendicino, Caterina & Nikolov, Kalin & Ramirez, Juan-Rubio & Suarez, Javier & Supera, Dominik, 2020. "Twin defaults and bank capital requirements," Working Paper Series 2414, European Central Bank.
    11. Andrea Cipollini & Giuseppe Missaglia, 2008. "Measuring bank capital requirements through Dynamic Factor analysis," Center for Economic Research (RECent) 010, University of Modena and Reggio E., Dept. of Economics "Marco Biagi".
    12. Paul Kupiec, 2007. "Financial stability and Basel II," Annals of Finance, Springer, vol. 3(1), pages 107-130, January.
    13. Marc Gürtler & Dirk Heithecker, 2006. "Modellkonsistente Bestimmung des LGD im IRB-Ansatz von Basel II," Schmalenbach Journal of Business Research, Springer, vol. 58(5), pages 554-587, August.
    14. Maclachlan, Iain C, 2007. "An empirical study of corporate bond pricing with unobserved capital structure dynamics," MPRA Paper 28416, University Library of Munich, Germany.
    15. Caballero, Diego & Lucas, André & Schwaab, Bernd & Zhang, Xin, 2020. "Risk endogeneity at the lender/investor-of-last-resort," Journal of Monetary Economics, Elsevier, vol. 116(C), pages 283-297.
    16. Matteo Accornero & Giuseppe Cascarino & Roberto Felici & Fabio Parlapiano & Alberto Maria Sorrentino, 2018. "Credit risk in banks’ exposures to non‐financial firms," European Financial Management, European Financial Management Association, vol. 24(5), pages 775-791, November.
    17. World Bank Group, 2016. "Nigeria," World Bank Publications - Reports 25776, The World Bank Group.
    18. Ulrich Erlenmaier & Hans Gersbach, 2014. "Default Correlations in the Merton Model," Review of Finance, European Finance Association, vol. 18(5), pages 1775-1809.
    19. Josselin Garnier & Jean-Baptiste Gaudemet & Anne Gruz, 2021. "The Climate Extended Risk Model (CERM)," Papers 2103.03275, arXiv.org, revised Apr 2022.
    20. Maria Stefanova, 2012. "Recovery Risiko in der Kreditportfoliomodellierung," Springer Books, Springer, number 978-3-8349-4226-5, June.

    More about this item

    Keywords

    joint defaults; collateralized lending; residual credit risk;
    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

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:nbp:nbpmis:181. 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: Jakub Growiec (email available below). General contact details of provider: https://edirc.repec.org/data/nbpgvpl.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.