IDEAS home Printed from https://ideas.repec.org/r/ijc/ijcjou/y2008q2a4.html

Specification and Calibration Errors in Measures of Portfolio Credit Risk: The Case of the ASRF Model

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Barbagli, Matteo & Vrins, Frédéric, 2023. "Accounting for PD-LGD dependency: A tractable extension to the Basel ASRF framework," Economic Modelling, Elsevier, vol. 125(C).
  2. Kao, Lie-Jane, 2015. "A portfolio-invariant capital allocation scheme penalizing concentration risk," Economic Modelling, Elsevier, vol. 51(C), pages 560-570.
  3. Yan, Meilan & Hall, Maximilian J.B. & Turner, Paul, 2012. "A cost–benefit analysis of Basel III: Some evidence from the UK," International Review of Financial Analysis, Elsevier, vol. 25(C), pages 73-82.
  4. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2009. "A framework for assessing the systemic risk of major financial institutions," Journal of Banking & Finance, Elsevier, vol. 33(11), pages 2036-2049, November.
  5. Daniel Rösch & Harald Scheule, 2014. "Forecasting Mortgage Securitization Risk Under Systematic Risk and Parameter Uncertainty," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 81(3), pages 563-586, September.
  6. Dhruv Bansal & Mayank Goud & Sourav Majumdar, 2026. "A stochastic correlation extension of the Vasicek credit risk model," Papers 2603.01109, arXiv.org, revised Mar 2026.
  7. Metzler A., 2020. "State dependent correlations in the Vasicek default model," Dependence Modeling, De Gruyter, vol. 8(1), pages 298-329, January.
  8. Lütkebohmert, Eva & Sester, Julian & Shen, Hongyi, 2025. "Name concentration risk in Multilateral Development Banks’ portfolios: Measurement and capital adequacy implications," Global Finance Journal, Elsevier, vol. 67(C).
  9. Simone Varotto, 2008. "An Assessment of the Internal Rating Based Approach in Basel II," ICMA Centre Discussion Papers in Finance icma-dp2008-04, Henley Business School, University of Reading.
  10. 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.
  11. Metzler A., 2020. "State dependent correlations in the Vasicek default model," Dependence Modeling, De Gruyter, vol. 8(1), pages 298-329, January.
  12. Henry Penikas, 2022. "Model Risk for Acceptable, but Imperfect, Discrimination and Calibration in Basel PD and LGD Models," Bank of Russia Working Paper Series wps92, Bank of Russia.
  13. Marina Brogi & Valentina Lagasio & Luca Riccetti, 2021. "Systemic risk measurement: bucketing global systemically important banks," Annals of Finance, Springer, vol. 17(3), pages 319-351, September.
  14. Akcay, Mustafa & Elyasiani, Elyas, 2021. "The link between the federal funds rate and banking system distress: An empirical investigation," Journal of Macroeconomics, Elsevier, vol. 67(C).
  15. M. B. Gordy & E. Lutkebohmert, 2013. "Granularity Adjustment for Regulatory Capital Assessment," International Journal of Central Banking, International Journal of Central Banking, vol. 9(3), pages 38-77, September.
  16. Henry Penikas, 2023. "Unaccounted model risk for Basel IRB models deemed acceptable by conventional validation criteria," Risk Management, Palgrave Macmillan, vol. 25(4), pages 1-25, December.
  17. Huang, Xin & Zhou, Hao & Zhu, Haibin, 2012. "Assessing the systemic risk of a heterogeneous portfolio of banks during the recent financial crisis," Journal of Financial Stability, Elsevier, vol. 8(3), pages 193-205.
  18. Chalermchatvichien, Pichaphop & Jumreornvong, Seksak & Jiraporn, Pornsit, 2014. "Basel III, capital stability, risk-taking, ownership: Evidence from Asia," Journal of Multinational Financial Management, Elsevier, vol. 28(C), pages 28-46.
  19. Lütkebohmert, Eva & Sester, Julian, 2025. "Measuring name concentrations through deep learning," International Review of Financial Analysis, Elsevier, vol. 107(C).
  20. Nikola Tarashev & Kostas Tsatsaronis & Claudio Borio, 2016. "Risk Attribution Using the Shapley Value: Methodology and Policy Applications," Review of Finance, European Finance Association, vol. 20(3), pages 1189-1213.
  21. Barbagli, Matteo & Vrins, Frédéric, 2025. "Efficient Monte Carlo estimation of credit concentration risk," LIDAM Discussion Papers LFIN 2025003, Université catholique de Louvain, Louvain Finance (LFIN).
  22. Drehmann, Mathias & Tarashev, Nikola, 2013. "Measuring the systemic importance of interconnected banks," Journal of Financial Intermediation, Elsevier, vol. 22(4), pages 586-607.
  23. Lee, Yongwoong & Rösch, Daniel & Scheule, Harald, 2016. "Accuracy of mortgage portfolio risk forecasts during financial crises," European Journal of Operational Research, Elsevier, vol. 249(2), pages 440-456.
  24. Tarashev, Nikola, 2010. "Measuring portfolio credit risk correctly: Why parameter uncertainty matters," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2065-2076, September.
  25. Gourieroux, C. & Jasiak, J., 2012. "Granularity adjustment for default risk factor model with cohorts," Journal of Banking & Finance, Elsevier, vol. 36(5), pages 1464-1477.
  26. 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.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.