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The Basel II Risk Parameters

Editor

Listed:
  • Bernd Engelmann
  • Robert Rauhmeier
    (UniCredit Bank AG)

Abstract

No abstract is available for this item.

Suggested Citation

  • Bernd Engelmann & Robert Rauhmeier (ed.), 2011. "The Basel II Risk Parameters," Springer Books, Springer, number 978-3-642-16114-8, September.
    • Handle: RePEc:spr:sprbok:978-3-642-16114-8
    DOI: 10.1007/978-3-642-16114-8
    as

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    Citations

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    Cited by:

    1. Krishna Reddy & Rudi Bosman & Nawazish Mirza, 2019. "Impact Of Credit Ratings On Stock Returns," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 21(3), pages 343-366, January.
    2. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2021. "Determinants of corporate exposure at default under distressed economic and financial conditions in a developing economy: the case of Zimbabwe," Risk Management, Palgrave Macmillan, vol. 23(1), pages 123-149, June.
    3. Bernd Engelmann & Ha Pham, 2020. "Measuring the Performance of Bank Loans under Basel II/III and IFRS 9/CECL," Risks, MDPI, vol. 8(3), pages 1-21, September.
    4. Shan Luo & Anthony Murphy, 2020. "Understanding the Exposure at Default Risk of Commercial Real Estate Construction and Land Development Loans," Working Papers 2007, Federal Reserve Bank of Dallas.
    5. Panagiotis Papadeas & Alina Barbara Hyz, & Evaggelia Kossieri, 2017. "IASBasel: The contribution of losses to the banks' capital adequacy," International Journal of Business and Social Research, LAR Center Press, vol. 7(2), pages 1-12, February.
    6. Tomislav Grebenar, 2018. "Behavioural Model of Assessment of Probability of Default and the Rating of Non-Financial Corporations," Working Papers 56, The Croatian National Bank, Croatia.
    7. Jobst, Rainer & Kellner, Ralf & Rösch, Daniel, 2020. "Bayesian loss given default estimation for European sovereign bonds," International Journal of Forecasting, Elsevier, vol. 36(3), pages 1073-1091.
    8. Dirk Tasche, 2015. "The Two Defaults Scenario for Stressing Credit Portfolio Loss Distributions," JRFM, MDPI, vol. 9(1), pages 1-18, December.
    9. Gürtler, Marc & Hibbeln, Martin Thomas & Usselmann, Piet, 2018. "Exposure at default modeling – A theoretical and empirical assessment of estimation approaches and parameter choice," Journal of Banking & Finance, Elsevier, vol. 91(C), pages 176-188.
    10. Christian Lohmann & Thorsten Ohliger, 2017. "Nonlinear Relationships and Their Effect on the Bankruptcy Prediction," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 18(3), pages 261-287, August.
    11. Dan Cheng & Pasquale Cirillo, 2019. "An Urn-Based Nonparametric Modeling of the Dependence between PD and LGD with an Application to Mortgages," Risks, MDPI, vol. 7(3), pages 1-21, July.
    12. Yi-Ping Chang & Chih-Tun Yu, 2014. "Bayesian confidence intervals for probability of default and asset correlation of portfolio credit risk," Computational Statistics, Springer, vol. 29(1), pages 331-361, February.
    13. Jinghai Shao & Siming Li & Yong Li, 2016. "Estimation and prediction of credit risk based on rating transition systems," Papers 1607.00448, arXiv.org, revised Mar 2018.
    14. Wolfgang Reitgruber, 2012. "The Calculus of Expected Loss: Backtesting Parameter-Based Expected Loss in a Basel II Framework," Papers 1211.4946, arXiv.org, revised Aug 2013.
    15. Filusch Tobias & Mölls Sascha H., 2017. "„(Lifetime) Expected Credit Losses“ im Rahmen der IFRS-Rechnungslegung: Ein anwendungsorientierter Problemaufriss für Banken und Versicherungen im genossenschaftlichen Umfeld," Zeitschrift für das gesamte Genossenschaftswesen, De Gruyter, vol. 67(4), pages 245-262, December.
    16. Jianxi Su & Edward Furman, 2016. "A form of multivariate Pareto distribution with applications to financial risk measurement," Papers 1607.04737, arXiv.org.
    17. Thamayanthi Chellathurai, 2017. "Probability Density Of Recovery Rate Given Default Of A Firm’S Debt And Its Constituent Tranches," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 20(04), pages 1-34, June.
    18. Jianxi Su & Edward Furman, 2016. "Multiple risk factor dependence structures: Distributional properties," Papers 1607.04739, arXiv.org.
    19. Christian Lohmann & Thorsten Ohliger, 2020. "Bankruptcy prediction and the discriminatory power of annual reports: empirical evidence from financially distressed German companies," Journal of Business Economics, Springer, vol. 90(1), pages 137-172, February.
    20. Hałaj, Grzegorz, 2013. "Optimal asset structure of a bank - bank reactions to stressful market conditions," Working Paper Series 1533, European Central Bank.
    21. Hisakado, Masato & Mori, Shintaro, 2020. "Phase transition in the Bayesian estimation of the default portfolio," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 544(C).
    22. Tomáš Vaněk & David Hampel, 2017. "The Probability of Default Under IFRS 9: Multi-period Estimation and Macroeconomic Forecast," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 65(2), pages 759-776.
    23. 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.
    24. Tong, Edward N.C. & Mues, Christophe & Brown, Iain & Thomas, Lyn C., 2016. "Exposure at default models with and without the credit conversion factor," European Journal of Operational Research, Elsevier, vol. 252(3), pages 910-920.

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