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Macro stress testing of credit risk focused on the tails

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Cited by:

  1. Tabak, Benjamin M. & Takami, Marcelo & Rocha, Jadson M.C. & Cajueiro, Daniel O. & Souza, Sergio R.S., 2014. "Directed clustering coefficient as a measure of systemic risk in complex banking networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 394(C), pages 211-216.
  2. Ruja, Catalin, 2014. "Macro Stress-Testing Credit Risk in Romanian Banking System," MPRA Paper 58244, University Library of Munich, Germany.
  3. Miguel Ángel Morales Mosquera & Wilmar Cabrera & Laura Capera & Dairo Estrada, 2012. "Un Mapa de Riesgo de Crédito para el Sistema Financiero Colombiano," Temas de Estabilidad Financiera 068, Banco de la Republica de Colombia.
  4. Moreno, Ramón, 2011. "La formulación de políticas desde una perspectiva macroprudencial en economías emergentes," Revista Estudios Económicos, Banco Central de Reserva del Perú, issue 22, pages 21-40.
  5. Ornelas, José Renato Haas & Barbachan, José Santiago Fajardo & Farias, Aquiles Rocha de, 2012. "Estimating relative risk aversion, risk-neutral and real-world densities using brazilian real currency options," EBAPE Working Papers 1, FGV EBAPE - Escola Brasileira de Administração Pública e de Empresas (Brazil).
  6. Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub Seidler, 2013. "Dynamic Stress Testing: The Framework for Assessing the Resilience of the Banking Sector Used by the Czech National Bank," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 63(6), pages 505-536, December.
  7. Buncic, Daniel & Melecky, Martin, 2013. "Macroprudential stress testing of credit risk: A practical approach for policy makers," Journal of Financial Stability, Elsevier, vol. 9(3), pages 347-370.
  8. Aline B. Schuh & Pascoal José Marion Filho & Daniel Arruda Coronel, 2019. "Determinants of the Default Rate of Individual Clients in Brazil and the Role of Payroll Loans," Economics Bulletin, AccessEcon, vol. 39(1), pages 395-408.
  9. Abildgren, Kim, 2014. "Far out in the tails – The historical distributions of macro-financial risk factors in Denmark," Nationaløkonomisk tidsskrift, Nationaløkonomisk Forening, vol. 2014(1), pages 1-31.
  10. Covas, Francisco B. & Rump, Ben & Zakrajšek, Egon, 2014. "Stress-testing US bank holding companies: A dynamic panel quantile regression approach," International Journal of Forecasting, Elsevier, vol. 30(3), pages 691-713.
  11. Swain, Pankaj & Misra, Arun Kumar & Kumar, Satish & Madhavan, Vinodh, 2026. "Banking on the brink: An incremental cost-based view of financial stress," Research in International Business and Finance, Elsevier, vol. 81(C).
  12. Kanas, Angelos & Molyneux, Philip, 2018. "Macro stress testing the U.S. banking system," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 54(C), pages 204-227.
  13. Pliszka, Kamil, 2021. "System-wide and banks' internal stress tests: Regulatory requirements and literature review," Discussion Papers 19/2021, Deutsche Bundesbank.
  14. Mai Dao & Lam Nguyen, 2025. "Variable selection in macroeconomic stress test: a Bayesian quantile regression approach," Empirical Economics, Springer, vol. 68(3), pages 1113-1169, March.
  15. Cai, Pingling & Zhou, Xinmiao & Wang, Haohan, 2026. "Sectoral stress testing of bank credit risk in China: A SUR model analysis of macroeconomic and geopolitical shocks," Finance Research Letters, Elsevier, vol. 90(C).
  16. Peter Grundke & Kamil Pliszka & Michael Tuchscherer, 2020. "Model and estimation risk in credit risk stress tests," Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 163-199, July.
  17. Wang, Zheqi & Crook, Jonathan & Andreeva, Galina, 2020. "Reducing estimation risk using a Bayesian posterior distribution approach: Application to stress testing mortgage loan default," European Journal of Operational Research, Elsevier, vol. 287(2), pages 725-738.
  18. Wong, Alfred Y-T. & Fong, Tom Pak Wing, 2011. "Analysing interconnectivity among economies," Emerging Markets Review, Elsevier, vol. 12(4), pages 432-442.
  19. Reserve Bank of India RBI, 2012. "Financial Stability Report Issue No. 5," Working Papers id:5123, eSocialSciences.
  20. Siemsen, Thomas & Vilsmeier, Johannes, 2018. "On a quest for robustness: About model risk, randomness and discretion in credit risk stress tests," Discussion Papers 31/2018, Deutsche Bundesbank.
  21. Basson, Lodewikus Jacobus & van Vuuren, Gary, 2026. "Transition Matrix Instability and Credit Risk," International Journal of Economics and Financial Issues, International Journal of Economics and Financial Issues, vol. 16(4), pages 108-117, July.
  22. Luiz Awazu Pereira da Silva & Adriana Soares Sales & Wagner Piazza Gaglianone, 2013. "Financial stability in Brazil," Chapters, in: Andreas Dombret & Otto Lucius (ed.), Stability of the Financial System, chapter 4, Edward Elgar Publishing.
  23. Sahin, Cenkhan & de Haan, Jakob & Neretina, Ekaterina, 2020. "Banking stress test effects on returns and risks," Journal of Banking & Finance, Elsevier, vol. 117(C).
  24. Saidane, Dhafer & Sène, Babacar & Désiré Kanga, Kouamé, 2021. "Pan-African banks, banking interconnectivity: A new systemic risk measure in the WAEMU," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 74(C).
  25. Matthias Fischer & Daniel Kraus & Marius Pfeuffer & Claudia Czado, 2017. "Stress Testing German Industry Sectors: Results from a Vine Copula Based Quantile Regression," Risks, MDPI, vol. 5(3), pages 1-13, July.
  26. Mamatzakis, E & Koutsomanoli-Filippaki, Anastasia & Pasiouras, Fotios, 2012. "A quantile regression approach to bank efficiency measurement," MPRA Paper 51879, University Library of Munich, Germany.
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