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The Basel II Risk Parameters

Citations

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Cited by:

  1. Stefan Hlawatsch & Sebastian Ostrowski, 2010. "Simulation and Estimation of Loss Given Default," FEMM Working Papers 100010, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
  2. Dirk Tasche, 2009. "Estimating discriminatory power and PD curves when the number of defaults is small," Papers 0905.3928, arXiv.org, revised Mar 2010.
  3. Matthew Harding & Gabriel F. R. Vasconcelos, 2022. "Managers versus Machines: Do Algorithms Replicate Human Intuition in Credit Ratings?," Papers 2202.04218, arXiv.org.
  4. Zhang, Jie & Thomas, Lyn C., 2012. "Comparisons of linear regression and survival analysis using single and mixture distributions approaches in modelling LGD," International Journal of Forecasting, Elsevier, vol. 28(1), pages 204-215.
  5. Jakub Seidler, 2008. "Implied Market Loss Given Default: structural-model approach," Working Papers IES 2008/26, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Oct 2008.
  6. Bag, Pinaki, 2010. "Exposure at Default Model for Contingent Credit Line," MPRA Paper 20387, University Library of Munich, Germany.
  7. Maria Stefanova, 2012. "Recovery Risiko in der Kreditportfoliomodellierung," Springer Books, Springer, number 978-3-8349-4226-5, June.
  8. Marc Ryser & Stefan Denzler, 2009. "Selecting credit rating models: a cross-validation-based comparison of discriminatory power," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 23(2), pages 187-203, June.
  9. Lorenzo Gai & Federica Ielasi, 2014. "Operational drivers affecting credit risk of mutual guarantee institutions," Journal of Risk Finance, Emerald Group Publishing, vol. 15(3), pages 275-293, May.
  10. Walter Orth, 2013. "Default probability estimation in small samples--with an application to sovereign bonds," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1891-1902, December.
  11. Giovanni Pepe, 2013. "Basel 2.5: potential benefits and unintended consequences," Questioni di Economia e Finanza (Occasional Papers) 159, Bank of Italy, Economic Research and International Relations Area.
  12. Medema, Lydian & Koning, Ruud H. & Lensink, Robert, 2009. "A practical approach to validating a PD model," Journal of Banking & Finance, Elsevier, vol. 33(4), pages 701-708, April.
  13. Dmitriy Borzykh & Henry Penikas, 2021. "IRB PD model accuracy validation in the presence of default correlation: a twin confidence interval approach," Risk Management, Palgrave Macmillan, vol. 23(4), pages 282-300, December.
  14. Shigeaki Fujiwara, 2009. "Credit Risk Assessment Considering Variations in Exposure: Application to Commitment Lines," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 27(1), pages 171-194, November.
  15. Gabriel Jiménez & Jose A. Lopez & Jesus Saurina, 2009. "Empirical Analysis of Corporate Credit Lines," The Review of Financial Studies, Society for Financial Studies, vol. 22(12), pages 5069-5098, December.
  16. Herrmann, Konstantin & Emrich, Eike & Frenger, Monika & Rasche, Christoph, 2018. "First step developing a early-warning system against corruption for sports associations," Working Papers of the European Institute for Socioeconomics 24, European Institute for Socioeconomics (EIS), Saarbrücken.
  17. Gabriel Jimenez & Jose A. Lopez & Jesus Saurina, 2009. "EAD calibration for corporate credit lines," Working Paper Series 2009-02, Federal Reserve Bank of San Francisco.
  18. Jinyu Yang & Weiguo Zhang & Donglai Li, 2015. "Pricing Model for Financial Guaranty Products Using Actuarial Methodology and Most Prudent Principle," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 6(1), pages 101-110, January.
  19. Bernd Engelmann & Ha Pham, 2020. "A Raroc Valuation Scheme for Loans and Its Application in Loan Origination," Risks, MDPI, vol. 8(2), pages 1-20, June.
  20. Pinaki Bag & Michael Jacobs, 2011. "Parsimonious exposure-at-default modeling for unfunded loan commitments," Journal of Risk Finance, Emerald Group Publishing, vol. 13(1), pages 77-94, December.
  21. Petr Gurný & Martin Gurný, 2013. "Comparison of Credit Scoring Models on Probability of Default Estimation for Us Banks," Prague Economic Papers, Prague University of Economics and Business, vol. 2013(2), pages 163-181.
  22. Leow, Mindy & Crook, Jonathan, 2016. "A new Mixture model for the estimation of credit card Exposure at Default," European Journal of Operational Research, Elsevier, vol. 249(2), pages 487-497.
  23. Lutz Hahnenstein & Gerrit Köchling & Peter N. Posch, 2021. "Do firms hedge in order to avoid financial distress costs? New empirical evidence using bank data," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 48(3-4), pages 718-741, March.
  24. Alexandra Schwarz, 2011. "Measurement, Monitoring, and Forecasting of Consumer Credit Default Risk - An Indicator Approach Based on Individual Payment Histories," Schumpeter Discussion Papers sdp11004, Universitätsbibliothek Wuppertal, University Library.
  25. Tasche, Dirk, 2013. "Bayesian estimation of probabilities of default for low default portfolios," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 6(3), pages 302-326, July.
  26. Wosnitza, Jan Henrik & Leker, Jens, 2014. "Why credit risk markets are predestined for exhibiting log-periodic power law structures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 393(C), pages 427-449.
  27. Bellotti, Tony & Crook, Jonathan, 2012. "Loss given default models incorporating macroeconomic variables for credit cards," International Journal of Forecasting, Elsevier, vol. 28(1), pages 171-182.
  28. Steffi Höse & Stefan Huschens, 2011. "Confidence Intervals for Asset Correlations in the Asymptotic Single Risk Factor Model," Operations Research Proceedings, in: Bo Hu & Karl Morasch & Stefan Pickl & Markus Siegle (ed.), Operations Research Proceedings 2010, pages 111-116, Springer.
  29. Miguel Lejeune & François Margot, 2011. "Optimization for simulation: LAD accelerator," Annals of Operations Research, Springer, vol. 188(1), pages 285-305, August.
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