IDEAS home Printed from https://ideas.repec.org/a/eee/finlet/v18y2016icp7-31.html
   My bibliography  Save this article

What drives the time to resolution of defaulted bank loans?

Author

Listed:
  • Betz, Jennifer
  • Kellner, Ralf
  • Rösch, Daniel

Abstract

Using a unique data base of Global Credit Data with individual loan information from small and medium sized entities in Germany, Great Britain and the United States, we evaluate the time to resolution of defaulted loans. A comparison across countries reveals country specific drivers for the resolution time which can be explained fairly well by differences in the regulatory and legal framework. Lenders seem to be aware of these differences and adjust their lending behavior in the limits set by these bankruptcy systems of the countries.

Suggested Citation

  • Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2016. "What drives the time to resolution of defaulted bank loans?," Finance Research Letters, Elsevier, vol. 18(C), pages 7-31.
  • Handle: RePEc:eee:finlet:v:18:y:2016:i:c:p:7-31
    DOI: 10.1016/j.frl.2016.03.013
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1544612316300253
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.frl.2016.03.013?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. Arturo Bris & Ivo Welch & Ning Zhu, 2006. "The Costs of Bankruptcy: Chapter 7 Liquidation versus Chapter 11 Reorganization," Journal of Finance, American Finance Association, vol. 61(3), pages 1253-1303, June.
    2. Gürtler, Marc & Hibbeln, Martin, 2013. "Improvements in loss given default forecasts for bank loans," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2354-2366.
    3. Bonfim, Diana & Dias, Daniel A. & Richmond, Christine, 2012. "What happens after corporate default? Stylized facts on access to credit," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2007-2025.
    4. Annabi, Amira & Breton, Michèle & François, Pascal, 2012. "Resolution of financial distress under Chapter 11," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1867-1887.
    5. Bastos, João A., 2010. "Forecasting bank loans loss-given-default," Journal of Banking & Finance, Elsevier, vol. 34(10), pages 2510-2517, October.
    6. Qi, Min & Zhao, Xinlei, 2011. "Comparison of modeling methods for Loss Given Default," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2842-2855, November.
    7. Qi, Min & Yang, Xiaolong, 2009. "Loss given default of high loan-to-value residential mortgages," Journal of Banking & Finance, Elsevier, vol. 33(5), pages 788-799, May.
    8. Grunert, Jens & Weber, Martin, 2009. "Recovery rates of commercial lending: Empirical evidence for German companies," Journal of Banking & Finance, Elsevier, vol. 33(3), pages 505-513, March.
    9. Loterman, Gert & Brown, Iain & Martens, David & Mues, Christophe & Baesens, Bart, 2012. "Benchmarking regression algorithms for loss given default modeling," International Journal of Forecasting, Elsevier, vol. 28(1), pages 161-170.
    10. Franks, Julian R & Torous, Walter N, 1989. " An Empirical Investigation of U.S. Firms in Reorganization," Journal of Finance, American Finance Association, vol. 44(3), pages 747-769, July.
    11. Julian R. Franks & Walter N. Torous, 1989. "An Empirical Investigation of U.S. Firms in Reorganization," Journal of Finance, American Finance Association, vol. 44(3), pages 747-769, July.
    12. Denis, Diane K. & Rodgers, Kimberly J., 2007. "Chapter 11: Duration, Outcome, and Post-Reorganization Performance," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 42(1), pages 101-118, March.
    13. Simeon Djankov & Oliver Hart & Caralee McLiesh & Andrei Shleifer, 2008. "Debt Enforcement around the World," Journal of Political Economy, University of Chicago Press, vol. 116(6), pages 1105-1149, December.
    14. Brad Wong & Graham Partington & Maxwell Stevenson & Violet Torbey, 2007. "Surviving Chapter 11 Bankruptcies: Duration and Payoff?," Abacus, Accounting Foundation, University of Sydney, vol. 43(3), pages 363-387, September.
    15. Jean Helwege, 1999. "How Long Do Junk Bonds Spend in Default?," Journal of Finance, American Finance Association, vol. 54(1), pages 341-357, February.
    16. Dewaelheyns, Nico & Van Hulle, Cynthia, 2009. "Filtering speed in a Continental European reorganization procedure," International Review of Law and Economics, Elsevier, vol. 29(4), pages 375-387, December.
    17. Sergei A. Davydenko & Julian R. Franks, 2008. "Do Bankruptcy Codes Matter? A Study of Defaults in France, Germany, and the U.K," Journal of Finance, American Finance Association, vol. 63(2), pages 565-608, April.
    18. Dermine, J. & de Carvalho, C. Neto, 2006. "Bank loan losses-given-default: A case study," Journal of Banking & Finance, Elsevier, vol. 30(4), pages 1219-1243, April.
    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. Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2018. "Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1113-1144.
    2. Stef, Nicolae & Ben Jabeur, Sami & Scherer, Robert F., 2022. "Time to resolve insolvency and political elections," International Review of Law and Economics, Elsevier, vol. 72(C).
    3. Krüger, Steffen & Rösch, Daniel, 2017. "Downturn LGD modeling using quantile regression," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 42-56.
    4. González, Marta Ramos & Ureña, Antonio Partal & Fernández-Aguado, Pilar Gómez, 2018. "Proposal on ELBE and LGD in-default: tackling capital requirements after the financial crisis," Working Paper Series 2165, European Central Bank.
    5. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2022. "Corporate Loan Recovery Rates under Downturn Conditions in a Developing Economy: Evidence from Zimbabwe," Risks, MDPI, vol. 10(10), pages 1-24, October.
    6. Jennifer Betz & Ralf Kellner & Daniel Rösch, 2021. "Time matters: How default resolution times impact final loss rates," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 619-644, June.
    7. Marta Ramos González & Antonio Partal Ureña & Pilar Gómez Fernández-Aguado, 2021. "Regulatory Estimates for Defaulted Exposures: A Case Study of Spanish Mortgages," Mathematics, MDPI, vol. 9(9), pages 1-9, April.

    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. Jennifer Betz & Ralf Kellner & Daniel Rösch, 2021. "Time matters: How default resolution times impact final loss rates," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(3), pages 619-644, June.
    2. Betz, Jennifer & Krüger, Steffen & Kellner, Ralf & Rösch, Daniel, 2020. "Macroeconomic effects and frailties in the resolution of non-performing loans," Journal of Banking & Finance, Elsevier, vol. 112(C).
    3. Bonfim, Diana & Dias, Daniel A. & Richmond, Christine, 2012. "What happens after corporate default? Stylized facts on access to credit," Journal of Banking & Finance, Elsevier, vol. 36(7), pages 2007-2025.
    4. Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2018. "Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1113-1144.
    5. Peter-Hendrik Ingermann & Frederik Hesse & Christian Bélorgey & Andreas Pfingsten, 2016. "The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 179-228, August.
    6. Annabi, Amira & Breton, Michèle & François, Pascal, 2021. "Could Chapter 11 redeem itself? Wealth and welfare effects of the redemption option," International Review of Law and Economics, Elsevier, vol. 67(C).
    7. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    8. Marc Gürtler & Marvin Zöllner, 2023. "Heterogeneities among credit risk parameter distributions: the modality defines the best estimation method," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 251-287, March.
    9. Kaposty, Florian & Kriebel, Johannes & Löderbusch, Matthias, 2020. "Predicting loss given default in leasing: A closer look at models and variable selection," International Journal of Forecasting, Elsevier, vol. 36(2), pages 248-266.
    10. Yuta Tanoue & Satoshi Yamashita & Hideaki Nagahata, 2020. "Comparison study of two-step LGD estimation model with probability machines," Risk Management, Palgrave Macmillan, vol. 22(3), pages 155-177, September.
    11. Annabi, Amira & Breton, Michèle & François, Pascal, 2012. "Resolution of financial distress under Chapter 11," Journal of Economic Dynamics and Control, Elsevier, vol. 36(12), pages 1867-1887.
    12. Salvatore D. Tomarchio & Antonio Punzo, 2019. "Modelling the loss given default distribution via a family of zero‐and‐one inflated mixture models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1247-1266, October.
    13. Bastos, João A. & Matos, Sara M., 2022. "Explainable models of credit losses," European Journal of Operational Research, Elsevier, vol. 301(1), pages 386-394.
    14. Jérémy Leymarie & Christophe Hurlin & Antoine Patin, 2018. "Loss Functions for LGD Models Comparison," Post-Print hal-01923050, HAL.
    15. Hurlin, Christophe & Leymarie, Jérémy & Patin, Antoine, 2018. "Loss functions for Loss Given Default model comparison," European Journal of Operational Research, Elsevier, vol. 268(1), pages 348-360.
    16. Kellner, Ralf & Nagl, Maximilian & Rösch, Daniel, 2022. "Opening the black box – Quantile neural networks for loss given default prediction," Journal of Banking & Finance, Elsevier, vol. 134(C).
    17. Goodwin, John & Routledge, James, 2021. "Determinants of the duration of the voluntary administration process: An unconditional quantile regression analysis," Journal of Contemporary Accounting and Economics, Elsevier, vol. 17(3).
    18. Han, Chulwoo & Jang, Youngmin, 2013. "Effects of debt collection practices on loss given default," Journal of Banking & Finance, Elsevier, vol. 37(1), pages 21-31.
    19. Wojciech Starosta, 2020. "Modelling Recovery Rate for Incomplete Defaults Using Time Varying Predictors," Central European Journal of Economic Modelling and Econometrics, Central European Journal of Economic Modelling and Econometrics, vol. 12(2), pages 195-225, June.
    20. Antill, Samuel & Grenadier, Steven R., 2019. "Optimal capital structure and bankruptcy choice: Dynamic bargaining versus liquidation," Journal of Financial Economics, Elsevier, vol. 133(1), pages 198-224.

    More about this item

    Keywords

    credit risk; bankruptcy; resolution of financial distress; time to resolution; resolution bias;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G01 - Financial Economics - - General - - - Financial Crises
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

    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:finlet:v:18:y:2016:i:c:p:7-31. 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/frl .

    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.