IDEAS home Printed from https://ideas.repec.org/r/eee/jbfina/v93y2018icp213-229.html
   My bibliography  Save this item

Credit risk in European banks: The bright side of the internal ratings based approach

Citations

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


Cited by:

  1. Pranith Kumar Roy & Krishnendu Shaw & Alessio Ishizaka, 2023. "Developing an integrated fuzzy credit rating system for SMEs using fuzzy-BWM and fuzzy-TOPSIS-Sort-C," Annals of Operations Research, Springer, vol. 325(2), pages 1197-1229, June.
  2. Liu, Cai, 2021. "The IRB model, bank regulatory arbitrage, and the Eurozone crisis," Journal of International Money and Finance, Elsevier, vol. 116(C).
  3. Long Ren & Shaojie Cong & Xinlong Xue & Daqing Gong, 2024. "Credit rating prediction with supply chain information: a machine learning perspective," Annals of Operations Research, Springer, vol. 342(1), pages 657-686, November.
  4. Giorgio Calcagnini & Federico Favaretto & Germana Giombini, 2024. "The effect of 2020 lockdown on bank internal ratings," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 51(2), pages 355-396, June.
  5. Brunella Bruno & Immacolata Marino & Giacomo Nocera, 2020. "Internal Ratings, Non-Performing Loans, and Bank Opacity: Evidence from Analysts’ Forecasts," CSEF Working Papers 576, Centre for Studies in Economics and Finance (CSEF), University of Naples, Italy, revised 25 Jan 2023.
  6. Merikas, Andreas & Merika, Anna & Penikas, Henry I. & Surkov, Mikhail A., 2020. "The Basel II internal ratings based (IRB) model and the transition impact on the listed Greek banks," The Journal of Economic Asymmetries, Elsevier, vol. 22(C).
  7. Acheampong, Albert & Elshandidy, Tamer, 2021. "Does soft information determine credit risk? Text-based evidence from European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
  8. Stepankova, Barbora & Teply, Petr, 2023. "Consistency of banks' internal probability of default estimates: Empirical evidence from the COVID-19 crisis," Journal of Banking & Finance, Elsevier, vol. 154(C).
  9. Dal Borgo, Mariela, 2022. "Internal models for deposits: Effects on banks' capital and interest rate risk of assets," Journal of Banking & Finance, Elsevier, vol. 135(C).
  10. Raffaele Gallo, 2020. "The impact of the IRB approach on the relationship between the cost of credit for public companies and financial market conditions," Temi di discussione (Economic working papers) 1290, Bank of Italy, Economic Research and International Relations Area.
  11. Maryem Naili & Younes Lahrichi, 2022. "The determinants of banks' credit risk: Review of the literature and future research agenda," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 27(1), pages 334-360, January.
  12. Schlam, Carina & Woyand, Corinna, 2023. "The rollout of internal credit risk models: Implications for the novel partial-use philosophy," Discussion Papers 07/2023, Deutsche Bundesbank.
  13. Bruno, Brunella & Marino, Immacolata & Nocera, Giacomo, 2023. "Internal ratings and bank opacity: Evidence from analysts’ forecasts," Journal of Financial Intermediation, Elsevier, vol. 56(C).
  14. Rimsha Shahid & Rimsha Shahid & Hammad Badar & Aqsa Iftikhar & Sidra Ghulam Muhammad & Dr. Muhammad Navid Iqbal & Zulfiqar Hussain Awan & Faisal Nadeem Shah, 2024. "Influence on Banks' Credit Risk Through Monetary Policy Instruments: A Study of Listed Commercial Banks in Pakistan," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(2), pages 255-265.
  15. Huynh, Japan & Dang, Van Dan, 2022. "Exploring the asymmetric effects of loan portfolio diversification on bank profitability," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
  16. Bitetto, Alessandro & Cerchiello, Paola & Filomeni, Stefano & Tanda, Alessandra & Tarantino, Barbara, 2023. "Machine learning and credit risk: Empirical evidence from small- and mid-sized businesses," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
  17. González-Fernández, Marcos & González-Velasco, Carmen, 2020. "An alternative approach to predicting bank credit risk in Europe with Google data," Finance Research Letters, Elsevier, vol. 35(C).
  18. Dang, Van Dan & Dang, Van Cuong, 2020. "The conditioning role of performance on the bank risk-taking channel of monetary policy: Evidence from a multiple-tool regime," Research in International Business and Finance, Elsevier, vol. 54(C).
  19. Henry Penikas & Anastasia Skarednova & Mikhail Surkov, 2021. "How Do Investors Prefer Banks to Transit to Basel Internal Models: Mandatorily or Voluntarily?," Bank of Russia Working Paper Series wps74, Bank of Russia.
  20. Cicchiello, Antonella Francesca & Cotugno, Matteo & Perdichizzi, Salvatore & Torluccio, Giuseppe, 2022. "Do capital buffers matter? Evidence from the stocks and flows of nonperforming loans," International Review of Financial Analysis, Elsevier, vol. 84(C).
  21. Pranith Kumar Roy & Krishnendu Shaw, 2021. "A multicriteria credit scoring model for SMEs using hybrid BWM and TOPSIS," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-27, December.
  22. Brunella Bruno & Immacolata Marino & Giacomo Nocera, 2023. "Internal Ratings, Non-Performing Loans, and Bank Opacity: Evidence from Analysts’ Forecasts," BAFFI CAREFIN Working Papers 23195, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
  23. Skała, Dorota, 2020. "Shareholder shocks and loan loss provisions in Central European banks," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 69(C).
  24. Dang, Van Dan & Dang, Van Cuong, 2021. "Liquidity injection, bank lending, and security holdings: The asymmetric effects in Vietnam," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).
  25. Ruan, Jia & Jiang, Ruishi, 2024. "Does digital inclusive finance affect the credit risk of commercial banks?," Finance Research Letters, Elsevier, vol. 62(PA).
  26. B. Bruno & I. Marino & G. Nocera, 2023. "Internal Ratings and Bank Opacity: Evidence from Analysts’ Forecasts," Post-Print hal-04322520, HAL.
  27. Alessandro Bitetto & Paola Cerchiello & Stefano Filomeni & Alessandra Tanda & Barbara Tarantino, 2021. "Machine Learning and Credit Risk: Empirical Evidence from SMEs," DEM Working Papers Series 201, University of Pavia, Department of Economics and Management.
  28. Raffaele Gallo, 2021. "The IRB approach and bank lending to firms," Temi di discussione (Economic working papers) 1347, Bank of Italy, Economic Research and International Relations Area.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.