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Harald Harry Scheule

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Harald Scheule & Stephan Jortzik, 2020. "Benchmarking loss given default discount rates," Published Paper Series 2020-5, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Gregor Dorfleitner & Lars Hornuf & Martina Weber, 2023. "Paralyzed by shock: the portfolio formation behavior of peer-to-business lending investors," Review of Managerial Science, Springer, vol. 17(3), pages 1037-1073, April.

  2. Benjamin Bade & Daniel Roesch & Harald Scheule, 2011. "Empirical performance of loss given default prediction models," Published Paper Series 2011-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Yashkir, Olga & Yashkir, Yuriy, 2013. "Loss Given Default Modelling: Comparative Analysis," MPRA Paper 46147, University Library of Munich, Germany.

  3. Daniel Roesch & Harald Scheule, 2010. "Downturn Credit Portfolio Risk, Regulatory Capital and Prudential Incentives," Published Paper Series 2010-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. 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.
    2. Alejandro Ferrer Pérez & José Casals Carro & Sonia Sotoca López, 2014. "Conditional coverage and its role in determining and assessing long-term capital requirements," Documentos de Trabajo del ICAE 2014-12, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    3. Ferrer, Alex & Casals, José & Sotoca, Sonia, 2015. "Capital cyclicality, conditional coverage and long-term capital assessment," Finance Research Letters, Elsevier, vol. 15(C), pages 246-256.
    4. Alejandro Ferrer Pérez & José Casals Carro & Sonia Sotoca López, 2014. "A new approach to the unconditional measurement of default risk," Documentos de Trabajo del ICAE 2014-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    5. Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2018. "Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1113-1144.
    6. Rösch, Daniel & Scheule, Harald, 2012. "Capital incentives and adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 733-748.
    7. Ferrer, Alex & Casals, José & Sotoca, Sonia, 2015. "Sample dependency during unconditional credit capital estimation," Finance Research Letters, Elsevier, vol. 15(C), pages 175-186.
    8. Dietsch, Michel & Düllmann, Klaus & Fraisse, Henri & Koziol, Philipp & Ott, Christine, 2016. "Support for the SME supporting factor: Multi-country empirical evidence on systematic risk factor for SME loans," Discussion Papers 45/2016, Deutsche Bundesbank.
    9. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.
    10. Shahari Farihana & Md. Saifur Rahman, 2021. "Can profit and loss sharing (PLS) financing instruments reduce the credit risk of Islamic banks?," Empirical Economics, Springer, vol. 61(3), pages 1397-1414, September.

  4. Daniel Roesch & Harald Scheule, 2009. "Credit Portfolio Loss Forecasts for Economic Downturns," Published Paper Series 2009-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. 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.
    2. Andrey Itkin & Fazlollah Soleymani, 2019. "Four-factor model of Quanto CDS with jumps-at-default and stochastic recovery," Papers 1912.08713, arXiv.org.
    3. Franco Varetto, 2017. "La correlazione tra PD ed LGD nell’analisi del rischio di credito/The correlation between probability of default and loss given default in the credit risk analysis," IRCrES Working Paper 201714, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    4. Jiri Witzany, 2013. "Estimating Default and Recovery Rate Correlations," Working Papers IES 2013/03, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2013.

  5. Daniel Roesch & Harald Scheule, 2007. "Stress-testing credit risk parameters: An application to retail loan portfolios," Published Paper Series 2007-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2014. "Asset portfolio securitizations and cyclicality of regulatory capital," European Journal of Operational Research, Elsevier, vol. 237(1), pages 289-302.
    2. Yonghan Ju & So Young Sohn, 2015. "Stress test for a technology credit guarantee fund based on survival analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(3), pages 463-475, March.
    3. NUCU, Anca Elena, 2011. "Managementul riscului de creditare: realizari actuale, analiza critica, sugestii [Credit risk management: current achievements, critical analysis, suggestions]," MPRA Paper 27932, University Library of Munich, Germany.
    4. Agata Gemzik-Salwach, 2012. "The Use Of A Value At Risk Measure For The Analysis Of Bank Interest Margins," "e-Finanse", University of Information Technology and Management, Institute of Financial Research and Analysis, vol. 8(4), pages 15-29, February.
    5. 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.
    6. Pawel Siarka, 2012. "Implementation of the Stress Test Methods in the Retail Portfolio," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 2(6), pages 1-2.
    7. Pawel Siarka, 2021. "Global Portfolio Credit Risk Management: The US Banks Post-Crisis Challenge," Mathematics, MDPI, vol. 9(5), pages 1-19, March.
    8. Mager, Ferdinand & Schmieder, Christian, 2008. "Stress testing of real credit portfolios," Discussion Paper Series 2: Banking and Financial Studies 2008,17, Deutsche Bundesbank.
    9. Jakubik, Petr, 2011. "Households response to economic crisis," BOFIT Discussion Papers 7/2011, Bank of Finland Institute for Emerging Economies (BOFIT).
    10. Joseph L Breeden & Lyn Thomas, 2016. "Solutions to specification errors in stress testing models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(6), pages 830-840, June.
    11. Cornaglia, Anna & Morone, Marco, 2009. "Rating philosophy and dynamic properties of internal rating systems: A general framework and an application to backtesting," MPRA Paper 14711, University Library of Munich, Germany.
    12. Petr Jakubík, 2011. "Household Balance Sheets and Economic Crisis," Working Papers IES 2011/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2011.
    13. Carole Bernard & Ludger Rüschendorf & Steven Vanduffel & Jing Yao, 2017. "How robust is the value-at-risk of credit risk portfolios?," The European Journal of Finance, Taylor & Francis Journals, vol. 23(6), pages 507-534, May.
    14. Yashkir, Olga & Yashkir, Yuriy, 2013. "Loss Given Default Modelling: Comparative Analysis," MPRA Paper 46147, University Library of Munich, Germany.
    15. Petr Jakubik & Christian Schmieder, 2008. "Stress Testing Credit Risk: Is the Czech Republic Different from Germany?," Working Papers 2008/9, Czech National Bank.

  6. Daniel Roesch & Harald Scheule, 2007. "Multi-Year Dynamics for Forecasting Economic and Regulatory Capital in Banking," Published Paper Series 2007-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Peter Grundke & Kamil Pliszka, 2018. "A macroeconomic reverse stress test," Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1093-1130, May.
    2. Orth, Walter, 2013. "Multi-period credit default prediction with time-varying covariates," Journal of Empirical Finance, Elsevier, vol. 21(C), pages 214-222.
    3. 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.
    4. Orth, Walter, 2011. "Multi-period credit default prediction with time-varying covariates," MPRA Paper 30507, University Library of Munich, Germany.

  7. Alfred Hamerle & Thilo Liebig & Harald Scheule, 2006. "Forecasting credit event frequency – empirical evidence for West German firms," Published Paper Series 2006-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Luong, Thi Mai & Scheule, Harald, 2022. "Benchmarking forecast approaches for mortgage credit risk for forward periods," European Journal of Operational Research, Elsevier, vol. 299(2), pages 750-767.
    2. 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.
    3. Daniel Rosch & Harald Scheule, 2008. "Credit Losses in Economic Downturns - Empirical Evidence for Hong Kong Mortgage Loans," Working Papers 152008, Hong Kong Institute for Monetary Research.
    4. El Kalak, Izidin & Hudson, Robert, 2016. "The effect of size on the failure probabilities of SMEs: An empirical study on the US market using discrete hazard model," International Review of Financial Analysis, Elsevier, vol. 43(C), pages 135-145.
    5. Orth, Walter, 2011. "Multi-period credit default prediction with time-varying covariates," MPRA Paper 30507, University Library of Munich, Germany.

  8. Daniel Roesch & Harald Scheule, 2005. "A multi-factor approach for systematic default and recovery risk," Published Paper Series 2005-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Li, Hui, 2010. "Downturn LGD: A Spot Recovery Approach," MPRA Paper 71986, University Library of Munich, Germany, revised 30 Apr 2013.
    2. Salvatore D. Tomarchio & Antonio Punzo, 2019. "Modelling the loss given default distribution via a family of zero‐and‐one inflated mixture models," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 182(4), pages 1247-1266, October.
    3. Maria Stefanova, 2012. "Recovery Risiko in der Kreditportfoliomodellierung," Springer Books, Springer, number 978-3-8349-4226-5, December.
    4. Yao, Xiao & Crook, Jonathan & Andreeva, Galina, 2017. "Is it obligor or instrument that explains recovery rate: Evidence from US corporate bond," Journal of Financial Stability, Elsevier, vol. 28(C), pages 1-15.
    5. 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.
    6. Rösch, Daniel & Scheule, Harald, 2012. "Capital incentives and adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 733-748.
    7. Daniel Rosch & Harald Scheule, 2008. "Credit Losses in Economic Downturns - Empirical Evidence for Hong Kong Mortgage Loans," Working Papers 152008, Hong Kong Institute for Monetary Research.
    8. Li, Hui, 2010. "Downturn LGD: A Spot Recovery Approach," MPRA Paper 20010, University Library of Munich, Germany.
    9. Xiaolin Luo & Pavel V. Shevchenko, 2010. "Markov chain Monte Carlo estimation of default and recovery: dependent via the latent systematic factor," Papers 1011.2827, arXiv.org, revised Oct 2014.
    10. Pavel V. Shevchenko & Xiaolin Luo, 2011. "Dependent default and recovery: MCMC study of downturn LGD credit risk model," Papers 1112.5766, arXiv.org.
    11. Huong Dang, 2014. "A Competing Risks Dynamic Hazard Approach to Investigate the Insolvency Outcomes of Property-Casualty Insurers," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(1), pages 42-76, January.
    12. Schläfer, Timo & Uhrig-Homburg, Marliese, 2014. "Is recovery risk priced?," Journal of Banking & Finance, Elsevier, vol. 40(C), pages 257-270.
    13. Rongda Chen & Ze Wang, 2013. "Curve Fitting of the Corporate Recovery Rates: The Comparison of Beta Distribution Estimation and Kernel Density Estimation," PLOS ONE, Public Library of Science, vol. 8(7), pages 1-9, July.

  9. Robert Rauhmeier & Harald Scheule, 2005. "Rating Properties and their Implication on Basel II-Capital," Published Paper Series 2005-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. G. Lanine & R. Vander Vennet, 2005. "Failure prediction in the Russian bank sector with logit and trait recognition models," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 05/329, Ghent University, Faculty of Economics and Business Administration.
    2. C. F. Lo & T. C. Wong & C. H. Hui & M. X. Huang, 2008. "Assessing Credit Risk of Companies with Mean-Reverting Leverage Ratios," Working Papers 042008, Hong Kong Institute for Monetary Research.
    3. Robert Rauhmeier, 2006. "PD-Validation — Experience from Banking Practice," Springer Books, in: Bernd Engelmann & Robert Rauhmeier (ed.), The Basel II Risk Parameters, chapter 0, pages 307-346, Springer.
    4. François Coppens & Fernando Gonzáles & Gerhard Winkler, 2007. "The performance of credit rating systems in the assessment of collateral used in Eurosystem monetary policy operations," Working Paper Research 118, National Bank of Belgium.
    5. Dirk Tasche, 2006. "Validation of internal rating systems and PD estimates," Papers physics/0606071, arXiv.org.
    6. T. C. Wong & C. H. Hui & C. F. Lo, 2009. "Discriminatory Power and Predictions of Defaults of Structural Credit Risk Models," Working Papers 342009, Hong Kong Institute for Monetary Research.

  10. Hamerle, Alfred & Liebig, Thilo & Scheule, Harald, 2004. "Forecasting Credit Portfolio Risk," Discussion Paper Series 2: Banking and Financial Studies 2004,01, Deutsche Bundesbank.

    Cited by:

    1. Falko Fecht & Marcel Tyrell, 2004. "Optimal Lender of Last Resort Policy in Different Financial Systems," Finance 0406009, University Library of Munich, Germany.
    2. Catherine Bruneau & Olivier de Bandt & W. Elamri, 2012. "Macroeconomic Fluctuations and Corporate financial Fragility," PSE-Ecole d'économie de Paris (Postprint) hal-00666757, HAL.
    3. Peter Grundke, 2008. "Regulatory treatment of the double default effect under the New Basel Accord: how conservative is it?," Review of Managerial Science, Springer, vol. 2(1), pages 37-59, March.
    4. Bigus, Jochen & Prigge, Stefan, 2005. "When risk premiums decrease as the bank's risk increases--a caveat on the use of subordinated bonds as an instrument of banking supervision," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(4), pages 369-390, October.
    5. Breitung, J. & Pesaran, M.H., 2005. "Unit Roots and Cointegration in Panels," Cambridge Working Papers in Economics 0535, Faculty of Economics, University of Cambridge.
    6. Heid, Frank & Porath, Daniel & Stolz, Stéphanie, 2003. "Does capital regulation matter for bank behavior? Evidence for German savings banks," Kiel Working Papers 1192, Kiel Institute for the World Economy (IfW Kiel).
    7. Thomas A. Knetsch, 2006. "Short-Run and Long-Run Comovement of GDP and Some Expenditure Aggregates in Germany, France and Italy," Springer Books, in: Convergence or Divergence in Europe?, pages 209-249, Springer.
    8. Fecht, Falko & Huang, Kevin & Martin, Antoine, 2005. "Financial intermediaries, markets and growth," Discussion Paper Series 1: Economic Studies 2005,03, Deutsche Bundesbank.
    9. Diana Bonfim, 2007. "Credit Risk Drivers: Evaluating the Contribution of Firm Level Information and of Macroeconomic Dynamics," Working Papers w200707, Banco de Portugal, Economics and Research Department.
    10. Illanes, Gabriel & Pena, Alejandro & Sosa Rodriguez, Andrés Ricardo, 2016. "A Macroeconomic Model of Credit Risk in Uruguay," Revista Brasileira de Economia - RBE, EPGE Brazilian School of Economics and Finance - FGV EPGE (Brazil), vol. 70(4), December.
    11. Hamerle, Alfred & Knapp, Michael & Liebig, Thilo & Wildenauer, Nicole, 2005. "Incorporating prediction and estimation risk in point-in-time credit portfolio models," Discussion Paper Series 2: Banking and Financial Studies 2005,13, Deutsche Bundesbank.
    12. Beck, Roland & Jakubik, Petr & Piloiu, Anamaria, 2013. "Non-performing loans: what matters in addition to the economic cycle?," Working Paper Series 1515, European Central Bank.
    13. Mr. Jorge A Chan-Lau, 2006. "Fundamentals-Based Estimation of Default Probabilities - A Survey," IMF Working Papers 2006/149, International Monetary Fund.
    14. Ulf von Kalckreuth & Emma Murphy, 2005. "Financial constraints and capacity adjustment in the United Kingdom: evidence from a large panel of survey data," Bank of England working papers 260, Bank of England.
    15. Palombini, Edgardo, 2009. "Factor models and the credit risk of a loan portfolio," MPRA Paper 20107, University Library of Munich, Germany.
    16. Trenca Ioan & Benyovszki Anamaria, 2009. "Analysis Model On The Relation Between Macroeconomical Variable Tendencies And Comercial Bank’S Credit Risk," Annals of Faculty of Economics, University of Oradea, Faculty of Economics, vol. 3(1), pages 682-689, May.
    17. Thiess Buettner & Martin Ruf, 2007. "Tax incentives and the location of FDI: Evidence from a panel of German multinationals," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 14(2), pages 151-164, April.
    18. Zuzana Fungáèová & Petr Jakubík, 2012. "Bank Stress Tests as an Information Device for Emerging Markets: The Case of Russia," Working Papers IES 2012/04, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Feb 2012.
    19. 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.
    20. Ramb, Fred & Weichenrieder, Alfons J., 2005. "Taxes and the financial structure of German inward FDI," Discussion Paper Series 1: Economic Studies 2005,05, Deutsche Bundesbank.
    21. Fecht, Falko & Grüner, Hans Peter, 2005. "Financial integration and systemic risk," Discussion Paper Series 2: Banking and Financial Studies 2005,11, Deutsche Bundesbank.
    22. Péter Bauer & Marianna Endrész, 2016. "Modelling Bankruptcy Using Hungarian Firm-Level Data," MNB Occasional Papers 2016/122, Magyar Nemzeti Bank (Central Bank of Hungary).
    23. Fecht, Falko & Martin, Antoine, 2005. "Banks, markets, and efficiency," Discussion Paper Series 2: Banking and Financial Studies 2005,04, Deutsche Bundesbank.
    24. Daniel Porath, 2006. "Estimating probabilities of default for German savings banks and credit cooperatives," Schmalenbach Business Review (sbr), LMU Munich School of Management, vol. 58(3), pages 214-233, July.
    25. Brooks, Robin & Del Negro, Marco, 2005. "Firm-Level Evidence on International Stock Market Comovement," Kiel Working Papers 1244, Kiel Institute for the World Economy (IfW Kiel).
    26. Hansen, Lars Peter & Sargent, Thomas J., 2005. "Recursive robust estimation and control without commitment," Discussion Paper Series 1: Economic Studies 2005,28, Deutsche Bundesbank.
    27. Craig, Ben & Fecht, Falko, 2007. "The eurosystem money market auctions: A banking perspective," Journal of Banking & Finance, Elsevier, vol. 31(9), pages 2925-2944, September.
    28. Aykut Ekinci, 2016. "Rethinking Credit Risk under the Malinvestment Concept: The Case of Germany, Spain and Italy," European Financial and Accounting Journal, Prague University of Economics and Business, vol. 2016(1), pages 39-63.
    29. Petr JAKUBÍK, 2007. "Macroeconomic Environment and Credit Risk (in English)," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 57(1-2), pages 60-78, March.
    30. Jonathan Crook & Tony Bellotti, 2010. "Time varying and dynamic models for default risk in consumer loans," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 283-305, April.
    31. Hamerle, Alfred & Knapp, Michael & Wildenauer, Nicole, 2005. "Auswirkungen unterschiedlicher Assetkorrelationen in Mehr-Sektoren-Kreditportfoliomodellen," University of Regensburg Working Papers in Business, Economics and Management Information Systems 409, University of Regensburg, Department of Economics.
    32. Nautz, Dieter & Ruth, Karsten, 2005. "Monetary disequilibria and the Euro/Dollar exchange rate," Discussion Paper Series 1: Economic Studies 2005,18, Deutsche Bundesbank.
    33. Lemke, Wolfgang & Greiber, Claus, 2005. "Money demand and macroeconomic uncertainty," Discussion Paper Series 1: Economic Studies 2005,26, Deutsche Bundesbank.
    34. Ben R. Craig & Joachim G. Keller, 2004. "The forecast ability of risk-neutral densities of foreign exchange," Working Papers (Old Series) 0409, Federal Reserve Bank of Cleveland.
    35. Tödter, Karl-Heinz, 2005. "Umstellung der deutschen VGR auf Vorjahrespreisbasis," Discussion Paper Series 1: Economic Studies 2005,31, Deutsche Bundesbank.
    36. Adam Gersl & Petr Jakubik & Tomas Konecny & Jakub Seidler, 2012. "Dynamic Stress Testing: The Framework for Testing Banking Sector Resilience Used by the Czech National Bank," Working Papers 2012/11, Czech National Bank.
    37. Croushore, Dean, 2004. "Do Consumer Confidence Indexes Help Forecast Consumer Spending in Real Time?," Discussion Paper Series 1: Economic Studies 2004,27, Deutsche Bundesbank.
    38. Trueck, Stefan & Rachev, Svetlozar T., 2008. "Rating Based Modeling of Credit Risk," Elsevier Monographs, Elsevier, edition 1, number 9780123736833.
    39. Samorodnitsky, Gennady & Rachev, Svetlozar T. & Kurz-Kim, Jeong-Ryeol, 2005. "Asymptotic distribution of linear unbiased estimators in the presence of heavy-tailed stochastic regressors and residuals," Discussion Paper Series 1: Economic Studies 2005,21, Deutsche Bundesbank.
    40. Sims, Christopher A., 2005. "Rational inattention: a research agenda," Discussion Paper Series 1: Economic Studies 2005,34, Deutsche Bundesbank.
    41. Petr Jakubík, 2007. "Credit Risk and the Finnish Economy," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 1(3), pages 254-285, November.
    42. Roland Beck & Petr Jakubik & Anamaria Piloiu, 2015. "Key Determinants of Non-performing Loans: New Evidence from a Global Sample," Open Economies Review, Springer, vol. 26(3), pages 525-550, July.
    43. Malik, Madhur & Thomas, Lyn C., 2012. "Transition matrix models of consumer credit ratings," International Journal of Forecasting, Elsevier, vol. 28(1), pages 261-272.
    44. Ehab Zaki & Rahim Bah & Ananth Rao, 2011. "Assessing probabilities of financial distress of banks in UAE," International Journal of Managerial Finance, Emerald Group Publishing Limited, vol. 7(3), pages 304-320, June.
    45. 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.
    46. Kugler, Peter & Jordan, Thomas J. & Lenz, Carlos & Savioz, Marcel R., 2004. "Measurement errors in GDP and forward-looking monetary policy: The Swiss case," Discussion Paper Series 1: Economic Studies 2004,31, Deutsche Bundesbank.
    47. Cipollini, Andrea & Missaglia, Giuseppe, 2007. "Dynamic Factor analysis of industry sector default rates and implication for Portfolio Credit Risk Modelling," MPRA Paper 3582, University Library of Munich, Germany.
    48. L C Thomas, 2010. "Consumer finance: challenges for operational research," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 41-52, January.
    49. Stamfort, Stefan, 2005. "Berechnung trendbereinigter Indikatoren für Deutschland mit Hilfe von Filterverfahren," Discussion Paper Series 1: Economic Studies 2005,19, Deutsche Bundesbank.
    50. Gabriel Illanes & Alejandro Pena & Andrés Sosa, 2014. "Un Modelo Macroeconómico del Riesgo de Crédito en Uruguay," Documentos de trabajo 2014002, Banco Central del Uruguay.
    51. Kelly, Robert & O'Brien, Eoin & Stuart, Rebecca, 2014. "A long-run survival analysis of corporate liquidations in Ireland," Research Technical Papers 10/RT/14, Central Bank of Ireland.
    52. Koetter, Michael, 2005. "Evaluating the German bank merger wave," Discussion Paper Series 2: Banking and Financial Studies 2005,12, Deutsche Bundesbank.
    53. Petr Jakubík, 2006. "Does Credit Risk Vary with Economic Cycles? The Case of Finland," Working Papers IES 2006/11, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2006.
    54. Koetter, Michael, 2005. "Measurement matters: Input price proxies and bank efficiency in Germany," Discussion Paper Series 2: Banking and Financial Studies 2005,01, Deutsche Bundesbank.
    55. Heppke-Falk, Kirsten H. & Hüfner, Felix P., 2004. "Expected budget deficits and interest rate swap spreads - Evidence for France, Germany and Italy," Discussion Paper Series 1: Economic Studies 2004,40, Deutsche Bundesbank.
    56. Dietske Simons & Ferdinand Rolwes, 2009. "Macroeconomic efault Modeling and Stress Testing," International Journal of Central Banking, International Journal of Central Banking, vol. 5(3), pages 177-204, September.
    57. Herrmann, Sabine & Jochem, Axel, 2005. "Trade balances of the central and east European EU member states and the role of foreign direct investment," Discussion Paper Series 1: Economic Studies 2005,41, Deutsche Bundesbank.
    58. Pawel Siarka, 2021. "Global Portfolio Credit Risk Management: The US Banks Post-Crisis Challenge," Mathematics, MDPI, vol. 9(5), pages 1-19, March.
    59. Heid, Frank, 2005. "Cyclical implications of minimum capital requirements," Discussion Paper Series 2: Banking and Financial Studies 2005,06, Deutsche Bundesbank.
    60. Kamp, Andreas & Pfingsten, Andreas & Porath, Daniel, 2005. "Do banks diversify loan portfolios? A tentative answer based on individual bank loan portfolios," Discussion Paper Series 2: Banking and Financial Studies 2005,03, Deutsche Bundesbank.
    61. Tödter, Karl-Heinz & Scharnagl, Michael, 2004. "How effective are automatic stabilisers? Theory and empirical results for Germany and other OECD countries," Discussion Paper Series 1: Economic Studies 2004,21, Deutsche Bundesbank.
    62. Paustian, Matthias, 2005. "The role of contracting schemes for the welfare costs of nominal rigidities over the business cycle," Discussion Paper Series 1: Economic Studies 2005,22, Deutsche Bundesbank.
    63. Berg, Tobias & Koziol, Philipp, 2017. "An analysis of the consistency of banks’ internal ratings," Journal of Banking & Finance, Elsevier, vol. 78(C), pages 27-41.
    64. Porath, Daniel, 2004. "Estimating probabilities of default for German savings banks and credit cooperatives," Discussion Paper Series 2: Banking and Financial Studies 2004,06, Deutsche Bundesbank.
    65. Petr Jakubík, 2011. "Household Balance Sheets and Economic Crisis," Working Papers IES 2011/20, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Jun 2011.
    66. Neumann, Manfred J. M. & Greiber, Claus, 2004. "Inflation and core money growth in the euro area," Discussion Paper Series 1: Economic Studies 2004,36, Deutsche Bundesbank.
    67. Petr Jakubik & Christian Schmieder, 2008. "Stress Testing Credit Risk: Is the Czech Republic Different from Germany?," Working Papers 2008/9, Czech National Bank.
    68. Claudia Miani & Giulio Nicoletti & Alessandro Notarpietro & Massimiliano Pisani, 2012. "Banks� balance sheets and the macroeconomy in the Bank of Italy Quarterly Model," Questioni di Economia e Finanza (Occasional Papers) 135, Bank of Italy, Economic Research and International Relations Area.

  11. Daniel Roesch & Harald Scheule, 2004. "Forecasting retail portfolio credit risk," Published Paper Series 2004-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. Palombini, Edgardo, 2009. "Factor models and the credit risk of a loan portfolio," MPRA Paper 20107, University Library of Munich, Germany.
    2. Dunbar, Kwamie, 2012. "Forecasting and Stress-testing the Risk-based Capital Requirements for Revolving Retail Exposures," Working Papers 2012001, Sacred Heart University, John F. Welch College of Business.
    3. Muteba Mwamba, John Weirstrass & Mhlophe, Bongani, 2019. "Modelling Asset Correlations of Revolving Loan Defaults in South Africa," MPRA Paper 97340, University Library of Munich, Germany.
    4. Petrus Strydom, 2017. "Macro economic cycle effect on mortgage and personal loan default rates," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(6), pages 1-1.
    5. Lee, Yongwoong & Poon, Ser-Huang, 2014. "Forecasting and decomposition of portfolio credit risk using macroeconomic and frailty factors," Journal of Economic Dynamics and Control, Elsevier, vol. 41(C), pages 69-92.
    6. Santiago Gamba-Santamaria & Luis Fernando Melo-Velandia & Camilo Orozco-Vanegas, 2021. "What can credit vintages tell us about non-performing loans?," Borradores de Economia 1154, Banco de la Republica de Colombia.
    7. Alejandro Ferrer Pérez & José Casals Carro & Sonia Sotoca López, 2014. "A new approach to the unconditional measurement of default risk," Documentos de Trabajo del ICAE 2014-11, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Instituto Complutense de Análisis Económico.
    8. Jonathan Crook & Tony Bellotti, 2010. "Time varying and dynamic models for default risk in consumer loans," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 173(2), pages 283-305, April.
    9. Bellotti, Tony & Crook, Jonathan, 2011. "Forecasting and Stress Testing Credit Card Default Using Dynamic Models," Working Papers 11-34, University of Pennsylvania, Wharton School, Weiss Center.
    10. Hamerle, Alfred & Knapp, Michael & Wildenauer, Nicole, 2005. "Auswirkungen unterschiedlicher Assetkorrelationen in Mehr-Sektoren-Kreditportfoliomodellen," University of Regensburg Working Papers in Business, Economics and Management Information Systems 409, University of Regensburg, Department of Economics.
    11. 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.
    12. Malik, Madhur & Thomas, Lyn C., 2012. "Transition matrix models of consumer credit ratings," International Journal of Forecasting, Elsevier, vol. 28(1), pages 261-272.
    13. 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.
    14. Cho, Yongbok & Lee, Yongwoong, 2022. "Asymmetric asset correlation in credit portfolios," Finance Research Letters, Elsevier, vol. 49(C).
    15. Siyi Wang & Xing Yan & Bangqi Zheng & Hu Wang & Wangli Xu & Nanbo Peng & Qi Wu, 2021. "Risk and return prediction for pricing portfolios of non-performing consumer credit," Papers 2110.15102, arXiv.org.
    16. Pawel Siarka, 2021. "Global Portfolio Credit Risk Management: The US Banks Post-Crisis Challenge," Mathematics, MDPI, vol. 9(5), pages 1-19, March.
    17. Vahid Baradaran & Maryam Keshavarz, 2017. "System dynamics modelling of retailers' credit risk," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 26(3), pages 380-396.
    18. Bellotti, Tony & Crook, Jonathan, 2013. "Forecasting and stress testing credit card default using dynamic models," International Journal of Forecasting, Elsevier, vol. 29(4), pages 563-574.

  12. Leif Boegelein & Alfred Hamerle & Robert Rauhmeier & Harald Scheule, 2002. "Modelling Default Rate Dynamics in the CreditRisk+ Framework," Published Paper Series 2002-1, Finance Discipline Group, UTS Business School, University of Technology, Sydney.

    Cited by:

    1. J. ANNAERT & Crispiniano Garcia Joao Batista & J. LAMOOT & G. LANINE, 2006. "Don’t Fall from the Saddle: the Importance of Higher Moments of Credit Loss Distributions," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 06/367, Ghent University, Faculty of Economics and Business Administration.
    2. Gürtler, Marc & Heithecker, Dirk, 2005. "Systematic credit cycle risk of financial collaterals: Modelling and evidence," Working Papers FW15V2, Technische Universität Braunschweig, Institute of Finance.
    3. Maria Stefanova, 2012. "Recovery Risiko in der Kreditportfoliomodellierung," Springer Books, Springer, number 978-3-8349-4226-5, December.

Articles

  1. Luong, Thi Mai & Scheule, Harald, 2022. "Benchmarking forecast approaches for mortgage credit risk for forward periods," European Journal of Operational Research, Elsevier, vol. 299(2), pages 750-767.

    Cited by:

    1. Wu Beibei & Nikolaj Jade, 2023. "Application of Improved Chameleon Swarm Algorithm and Improved Convolution Neural Network in Diagnosis of Skin Cancer," International Journal of Data Warehousing and Mining (IJDWM), IGI Global, vol. 19(1), pages 1-16, January.

  2. Lee, Yongwoong & Rösch, Daniel & Scheule, Harald, 2021. "Systematic credit risk in securitised mortgage portfolios," Journal of Banking & Finance, Elsevier, vol. 122(C).

    Cited by:

    1. Cho, Yongbok & Lee, Yongwoong, 2022. "Asymmetric asset correlation in credit portfolios," Finance Research Letters, Elsevier, vol. 49(C).
    2. Thi Mai Luong & Harald Scheule & Nitya Wanzare, 2023. "Impact of mortgage soft information in loan pricing on default prediction using machine learning," International Review of Finance, International Review of Finance Ltd., vol. 23(1), pages 158-186, March.

  3. Min Qi & Harald Scheule & Yan Zhang, 2021. "Positive Payment Shocks, Liquidity and Refinance Constraints and Default Risk of Home Equity Lines of Credit at End of Draw," The Journal of Real Estate Finance and Economics, Springer, vol. 62(3), pages 423-454, April.

    Cited by:

    1. Billio, Monica & Costola, Michele & Pelizzon, Loriana & Riedel, Max, 2022. "Creditworthiness and buildings' energy efficiency in the Italian mortgage market," SAFE Working Paper Series 352, Leibniz Institute for Financial Research SAFE.
    2. Monica Billio & Michele Costola & Loriana Pelizzon & Max Riedel, 2022. "Buildings’ Energy Efficiency and the Probability of Mortgage Default: The Dutch Case," The Journal of Real Estate Finance and Economics, Springer, vol. 65(3), pages 419-450, October.

  4. Hung Xuan Do & Daniel Rösch & Harald Scheule, 2020. "Liquidity Constraints, Home Equity and Residential Mortgage Losses," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 208-246, August.

    Cited by:

    1. Emily Johnston Ross & Lynn Shibut, 2021. "Loss Given Default, Loan Seasoning and Financial Fragility: Evidence from Commercial Real Estate Loans at Failed Banks," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 630-661, November.
    2. Rambod Rahmani & Marco Parola & Mario G. C. A. Cimino, 2024. "A machine learning workflow to address credit default prediction," Papers 2403.03785, arXiv.org.
    3. Michelle Bergmann, 2020. "The Determinants of Mortgage Defaults in Australia – Evidence for the Double-trigger Hypothesis," RBA Research Discussion Papers rdp2020-03, Reserve Bank of Australia.

  5. Luong, Thi Mai & Pieters, Russell & Scheule, Harald & Wu, Eliza, 2020. "The impact of government guarantees on banks' wholesale funding costs and lending behavior: Evidence from a natural experiment," Pacific-Basin Finance Journal, Elsevier, vol. 61(C).

    Cited by:

    1. Natalya Zelenyuk & Robert Faff & Shams Pathan, 2021. "The impact of voluntary capital adequacy disclosure on bank lending and liquidity creation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(3), pages 3915-3935, September.
    2. Huang, Xiaoyong & Yu, Cong & Chen, Yunping & Jia, Fei & Xu, Xiangyun, 2022. "Rigid payment breaking, default spread and yields of Chinese treasury bonds," The North American Journal of Economics and Finance, Elsevier, vol. 59(C).
    3. Casavecchia, Lorenzo & Loudon, Geoffrey F. & Wu, Eliza, 2018. "What moves benchmark money market rates? Evidence from the BBSW market," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 137-154.
    4. Liu, Tianming & Xiong, Haifang & Li, Yifei & Wang, Zhiqiang, 2023. "The flight to safety during credit recovery: The role of implicit government guarantees," Pacific-Basin Finance Journal, Elsevier, vol. 79(C).

  6. Bui, Christina & Scheule, Harald & Wu, Eliza, 2020. "A cautionary tale of two extremes: The provision of government liquidity support in the banking sector," Journal of Financial Stability, Elsevier, vol. 51(C).

    Cited by:

    1. Bai, Yiyi & Dang, Tri Vi & He, Qing & Lu, Liping, 2022. "Does lending relationship help or alleviate the transmission of liquidity shocks? Evidence from a liquidity crunch in China," Journal of Financial Stability, Elsevier, vol. 58(C).
    2. Corbet, Shaen & Hou, Yang & Hu, Yang & Oxley, Les, 2022. "Did COVID-19 tourism sector supports alleviate investor fear?," Annals of Tourism Research, Elsevier, vol. 95(C).

  7. Krüger, Steffen & Rösch, Daniel & Scheule, Harald, 2018. "The impact of loan loss provisioning on bank capital requirements," Journal of Financial Stability, Elsevier, vol. 36(C), pages 114-129.

    Cited by:

    1. Pfeifer, Lukáš & Hodula, Martin, 2021. "A profit-to-provisioning approach to setting the countercyclical capital buffer," Economic Systems, Elsevier, vol. 45(1).
    2. Simona Malovana & Zaneta Tesarova, 2019. "Banks' Credit Losses and Provisioning over the Business Cycle: Implications for IFRS 9," Working Papers 2019/4, Czech National Bank.
    3. Petr Polak & Jiri Panos, 2019. "The Impact of Expectations on IFRS 9 Loan Loss Provisions," Research and Policy Notes 2019/03, Czech National Bank.
    4. Jorge Abad & Javier Suarez, 2018. "The Procyclicality of Expected Credit Loss Provisions," Working Papers wp2018_1806, CEMFI.
    5. 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).
    6. Oliver Blümke, 2020. "Estimating the probability of default for no‐default and low‐default portfolios," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(1), pages 89-107, January.
    7. Juselius, Mikael & Tarashev, Nikola A., 2020. "Forecasting expected and unexpected losses," Bank of Finland Research Discussion Papers 18/2020, Bank of Finland.
    8. Luong, Thi Mai & Scheule, Harald, 2022. "Benchmarking forecast approaches for mortgage credit risk for forward periods," European Journal of Operational Research, Elsevier, vol. 299(2), pages 750-767.
    9. Juselius, Mikael & Tarashev, Nikola A., 2022. "When uncertainty decouples expected and unexpected losses," Bank of Finland Research Discussion Papers 4/2022, Bank of Finland.
    10. Fatouh, Mahmoud & Giansante, Simone, 2023. "The cyclicality of bank credit losses and capital ratios under expected loss model," Bank of England working papers 1013, Bank of England.
    11. 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.
    12. O. Miroshnichenko S. & N. Voronova S. & V. Gamukin V. & О. Мирошниченко С. & Н. Воронова С. & В. Гамукин В., 2020. "Развитие макропруденциального регулирования банковского кредитования физических лиц в России // The Development of Macroprudential Regulation of Bank Household Lending in Russia," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 24(4), pages 75-87.
    13. Gaffney, Edward & McCann, Fergal, 2019. "The cyclicality in SICR: mortgage modelling under IFRS 9," ESRB Working Paper Series 92, European Systemic Risk Board.
    14. Rui Pedro Brito & Pedro Alarcão Judice, 2021. "Efficient credit portfolios under IFRS 9," CeBER Working Papers 2021-07, Centre for Business and Economics Research (CeBER), University of Coimbra.
    15. Noor Hashim & Weijia Li & John O'Hanlon, 2019. "Reflections on the development of the FASB’s and IASB’s expected-loss methods of accounting for credit losses," Accounting and Business Research, Taylor & Francis Journals, vol. 49(6), pages 682-725, September.
    16. Agénor, Pierre-Richard & Jackson, Timothy P., 2022. "Monetary and macroprudential policy coordination with biased preferences," Journal of Economic Dynamics and Control, Elsevier, vol. 144(C).
    17. Pandey, Ashish & Tripathi, Abhinava & Guhathakurta, Kousik, 2022. "The impact of banking regulations and accounting standards on estimating discretionary loan loss provisions," Finance Research Letters, Elsevier, vol. 44(C).
    18. Aziz el Barnoussi & Bryan Howieson & Ferdy van Beest, 2020. "Prudential Application of IFRS 9: (Un)Fair Reporting in COVID‐19 Crisis for Banks Worldwide?!," Australian Accounting Review, CPA Australia, vol. 30(3), pages 178-192, September.
    19. Lubomira Gertler & Kristina Janovicova-Bognarova & Lukas Majer, 2020. "Explaining Corporate Credit Default Rates with Sector Level Detail," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 70(2), pages 96-120, August.
    20. Edgar Löw & Marc Erkelenz, 2022. "Long and Short‐term Investments by European Banks – Trends Since the IASB Published IFRS 9," Australian Accounting Review, CPA Australia, vol. 32(4), pages 440-459, December.
    21. Martin Birn & Renzo Corrias & Christian Schmieder & Nikola Tarashev, 2023. "Banks' credit loss forecasts: lessons from supervisory data," BIS Working Papers 1125, Bank for International Settlements.
    22. Alejandro Buesa & Francisco Javier Población García & Javier Tarancón, 2020. "Measuring the procyclicality of impairment accounting regimes: a comparison between IFRS 9 and US GAAP," Working Papers 2003, Banco de España.
    23. Degryse, Hans & Huylebroek, Cédric, 2023. "Fiscal support and banks’ loan loss provisions during the COVID-19 crisis," Journal of Financial Stability, Elsevier, vol. 67(C).
    24. Lukasz Prorokowski, 2022. "New definition of default," Bank i Kredyt, Narodowy Bank Polski, vol. 53(5), pages 523-564.
    25. Tristan Brouwer & Job Huttenhuis & Ralph ter Hoeven, 2021. "Empirical results for expected credit losses of G-SIBs during COVID-19. The proof of the pudding is in the eating," Maandblad Voor Accountancy en Bedrijfseconomie Articles, Maandblad Voor Accountancy en Bedrijfseconomie, vol. 95(11-12), pages 381-396, December.
    26. Antonio Sánchez Serrano, 2018. "Financial stability consequences of the expected credit loss model in IFRS 9," Financial Stability Review, Banco de España, issue MAY.
    27. Sarah Chae & Robert F. Sarama & Cindy M. Vojtech & James Z. Wang, 2018. "The Impact of the Current Expected Credit Loss Standard (CECL) on the Timing and Comparability of Reserves," Finance and Economics Discussion Series 2018-020, Board of Governors of the Federal Reserve System (U.S.).
    28. Kund, Arndt-Gerrit & Rugilo, Daniel, 2023. "Does IFRS 9 increase banks’ resilience?," Working Paper Series 2792, European Central Bank.
    29. Chenzi Yang & Fernando Moreira & Thomas Welsh Archibald, 2023. "Community banks' capital requirements and regional housing tenure," Australian Economic Papers, Wiley Blackwell, vol. 62(4), pages 723-746, December.

  8. Krüger, Steffen & Oehme, Toni & Rösch, Daniel & Scheule, Harald, 2018. "A copula sample selection model for predicting multi-year LGDs and Lifetime Expected Losses," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 246-262.

    Cited by:

    1. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    2. Dimitris Andriosopoulos & Michalis Doumpos & Panos M. Pardalos & Constantin Zopounidis, 2019. "Computational approaches and data analytics in financial services: A literature review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1581-1599, October.
    3. Florian Kaposty & Philipp Klein & Matthias Löderbusch & Andreas Pfingsten, 2022. "Loss given default in SME leasing," Review of Managerial Science, Springer, vol. 16(5), pages 1561-1597, July.
    4. Morne Joubert & Tanja Verster & Helgard Raubenheimer & Willem D. Schutte, 2021. "Adapting the Default Weighted Survival Analysis Modelling Approach to Model IFRS 9 LGD," Risks, MDPI, vol. 9(6), pages 1-17, June.
    5. Thi Mai Luong, 2020. "Selection Effects of Lender and Borrower Choices on Risk Measurement, Management and Prudential Regulation," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2020.
    6. Wattanawongwan, Suttisak & Mues, Christophe & Okhrati, Ramin & Choudhry, Taufiq & So, Mee Chi, 2023. "Modelling credit card exposure at default using vine copula quantile regression," European Journal of Operational Research, Elsevier, vol. 311(1), pages 387-399.
    7. Jennifer Betz & Maximilian Nagl & Daniel Rösch, 2022. "Credit line exposure at default modelling using Bayesian mixed effect quantile regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2035-2072, October.

  9. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.

    Cited by:

    1. Li, Aimin & Li, Zhiyong & Bellotti, Anthony, 2023. "Predicting loss given default of unsecured consumer loans with time-varying survival scores," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    2. Emily Johnston Ross & Lynn Shibut, 2021. "Loss Given Default, Loan Seasoning and Financial Fragility: Evidence from Commercial Real Estate Loans at Failed Banks," The Journal of Real Estate Finance and Economics, Springer, vol. 63(4), pages 630-661, November.
    3. Starosta, Wojciech, 2021. "Loss given default decomposition using mixture distributions of in-default events," European Journal of Operational Research, Elsevier, vol. 292(3), pages 1187-1199.
    4. Hung Xuan Do & Daniel Rösch & Harald Scheule, 2020. "Liquidity Constraints, Home Equity and Residential Mortgage Losses," The Journal of Real Estate Finance and Economics, Springer, vol. 61(2), pages 208-246, August.
    5. Dimitris Andriosopoulos & Michalis Doumpos & Panos M. Pardalos & Constantin Zopounidis, 2019. "Computational approaches and data analytics in financial services: A literature review," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(10), pages 1581-1599, October.
    6. Xia, Yufei & Zhao, Junhao & He, Lingyun & Li, Yinguo & Yang, Xiaoli, 2021. "Forecasting loss given default for peer-to-peer loans via heterogeneous stacking ensemble approach," International Journal of Forecasting, Elsevier, vol. 37(4), pages 1590-1613.
    7. Rubén García-Céspedes & Manuel Moreno, 2020. "Random LGD adjustments in the Vasicek credit risk model," The European Journal of Finance, Taylor & Francis Journals, vol. 26(18), pages 1856-1875, December.
    8. O. Miroshnichenko S. & N. Voronova S. & V. Gamukin V. & О. Мирошниченко С. & Н. Воронова С. & В. Гамукин В., 2020. "Развитие макропруденциального регулирования банковского кредитования физических лиц в России // The Development of Macroprudential Regulation of Bank Household Lending in Russia," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 24(4), pages 75-87.
    9. Li, Zhiyong & Li, Aimin & Bellotti, Anthony & Yao, Xiao, 2023. "The profitability of online loans: A competing risks analysis on default and prepayment," European Journal of Operational Research, Elsevier, vol. 306(2), pages 968-985.

  10. Khan, Muhammad Saifuddin & Scheule, Harald & Wu, Eliza, 2017. "Funding liquidity and bank risk taking," Journal of Banking & Finance, Elsevier, vol. 82(C), pages 203-216.

    Cited by:

    1. Van Dan Dang, 2020. "Bank funding and liquidity in an emerging market," International Journal of Economic Policy in Emerging Economies, Inderscience Enterprises Ltd, vol. 13(3), pages 256-272.
    2. Shui, Bingbing, 2023. "Major risk shocks, financial relief policies and loan maturity for MSMEs: Evidence from China," Finance Research Letters, Elsevier, vol. 55(PA).
    3. Simona Galletta & Sebastiano Mazzù, 2023. "ESG controversies and bank risk taking," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 274-288, January.
    4. Bongiovanni, Alessio & Reghezza, Alessio & Santamaria, Riccardo & Williams, Jonathan, 2021. "Do negative interest rates affect bank risk-taking?," Journal of Empirical Finance, Elsevier, vol. 63(C), pages 350-364.
    5. Tu T. T. Tran & Yen Thi Nguyen, 2021. "Restructuring Measurements Impact on Bank Risk After the Global Financial Crisis — Empirical Evidence from Vietnam," Review of Pacific Basin Financial Markets and Policies (RPBFMP), World Scientific Publishing Co. Pte. Ltd., vol. 24(03), pages 1-28, September.
    6. Foly Ananou & Dimitris Chronopoulos & Amine Tarazi & John O S Wilson, 2023. "Liquidity Regulation and Bank Risk," Working Papers hal-03366418, HAL.
    7. Banna, Hasanul & Kabir Hassan, M. & Rashid, Mamunur, 2021. "Fintech-based financial inclusion and bank risk-taking: Evidence from OIC countries," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 75(C).
    8. Marwa Sallemi & Salah Ben Hamad & Nejla Ould Daoud Ellili, 2023. "Executive compensation and bank’s stability: which role of the corruption control? An empirical evidence from OECD banks," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 27(2), pages 457-477, June.
    9. Jeon, Bang Nam & Wu, Ji & Chen, Limei & Chen, Minghua, 2020. "Diversification, efficiency and risk of banks: New consolidating evidence from emerging economies," School of Economics Working Paper Series 2020-10, LeBow College of Business, Drexel University.
    10. Leogrande, Angelo & Costantiello, Alberto & Laureti, Lucio & Matarrese, Marco Maria, 2022. "The Determinants of Risk Weighted Asset in Europe," MPRA Paper 112924, University Library of Munich, Germany.
    11. Galletta, Simona & Mazzù, Sebastiano & Scannella, Enzo, 2021. "Risk committee complexity and liquidity risk in the European banking industry," Journal of Economic Behavior & Organization, Elsevier, vol. 192(C), pages 691-703.
    12. Koray Alper & Tanju Capacioglu, 2023. "Funding Stability and the Pricing of Retail Rates: Evidence from Turkish Banking Sector," Koç University-TUSIAD Economic Research Forum Working Papers 2309, Koc University-TUSIAD Economic Research Forum.
    13. Thierno Barry & Alassane Diabaté & Amine Tarazi, 2020. "Unexpected deposit flows, off-balance sheet funding liquidity risk and bank loan production," Working Papers hal-02516724, HAL.
    14. Van Dan Dang, 2019. "Should Vietnamese Banks Need More Equity? Evidence on Risk-Return Trade-Off in Dynamic Models of Banking," JRFM, MDPI, vol. 12(2), pages 1-13, May.
    15. Safiullah, Md, 2023. "Funding liquidity in Islamic banks: Does the Shariah supervisory board's higher educational attainment matter?," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    16. Duy Khanh Pham & Vu Minh Ngo & Huan Huu Nguyen & Toan Linh Vu Le, 2021. "Financial crisis and diversification strategies: the impact on bank risk and performance," Economics and Business Letters, Oviedo University Press, vol. 10(3), pages 249-261.
    17. Rofikoh Rokhim & In Min, 2020. "Funding Liquidity and Risk Taking Behavior in Southeast Asian Banks," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 56(2), pages 305-313, January.
    18. Cheng, Hua & Gawande, Kishore & Ongena, Steven & Qi, Shusen, 2021. "Connected banks and economic policy uncertainty," Journal of Financial Stability, Elsevier, vol. 56(C).
    19. Cai, Jin, 2022. "Bank herding and systemic risk," Economic Systems, Elsevier, vol. 46(4).
    20. Mushtaq Hussain Khan & Mohammad Bitar & Amine Tarazi & Arshad Hassan & Ahmad Fraz, 2021. "Corruption and bank risk-taking: The deterring role of Shari'ah supervision," Working Papers hal-03366460, HAL.
    21. Bhattacharya, Mita & Inekwe, John Nkwoma & Valenzuela, Maria Rebecca, 2020. "Credit risk and financial integration: An application of network analysis," International Review of Financial Analysis, Elsevier, vol. 72(C).
    22. Simona Galletta & Sebastiano Mazzù & Valeria Naciti & Carlo Vermiglio, 2021. "Sustainable development and financial institutions: Do banks' environmental policies influence customer deposits?," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 643-656, January.
    23. Salma Louati & Younes Boujelbene, 2021. "Basel Regulations and Banks’ Risk-efficiency Nexus: Evidence from Dynamic Simultaneous-equation Models," Journal of African Business, Taylor & Francis Journals, vol. 22(4), pages 578-602, October.
    24. Olalere Oluwaseyi Ebenezer & Md. Aminul Islam & Wan Sallha Yusoff & Farid Ahammad Sobhani, 2019. "Exploring Liquidity Risk and Interest-Rate Risk: Implications for Profitability and Firm Value in Nigerian Banks," Journal of Reviews on Global Economics, Lifescience Global, vol. 8, pages 315-326.
    25. Bui, Dien Giau & Hasan, Iftekhar & Lin, Chih-Yung & Nguyen, Hong Thoa, 2023. "Short-selling threats and bank risk-taking: Evidence from the financial crisis," Journal of Banking & Finance, Elsevier, vol. 150(C).
    26. Xuan Vinh Vo, 2020. "The Role of Bank Funding Diversity: Evidence from Vietnam," International Review of Finance, International Review of Finance Ltd., vol. 20(2), pages 529-536, June.
    27. Simona Galletta & Sebastiano Mazzù, 2019. "Liquidity Risk Drivers and Bank Business Models," Risks, MDPI, vol. 7(3), pages 1-18, August.
    28. Yiming Chang & Xiangyuan Yu & Wei Shan & Fang Wang & Yinying Tao, 2023. "Impact of Financial Market Development, Financial Crises and Deposit Insurance on Bank Risk," Prague Economic Papers, Prague University of Economics and Business, vol. 2023(1), pages 1-25.
    29. Nguyen Tran Thai Ha & Phan Gia Quyen, 2018. "The Impact of Funding Liquidity on Risk-taking Behaviour of Vietnamese Banks: Approaching by Z-Score Measure," International Journal of Economics and Financial Issues, Econjournals, vol. 8(3), pages 29-35.
    30. Muhammad Sajjad Hussain & Muhammad Muhaizam Bin Musa Musa & Abdelnaser Omran Ali, 2018. "The Impact of Private Ownership Structure on Risk Taking by Pakistani Banks: An Empirical Study AbstractThe financial crisis of 2007-09 was converted the focus of researchers and regulators toward ban," Pakistan Journal of Humanities and Social Sciences, International Research Alliance for Sustainable Development (iRASD), vol. 6(3), pages :325-337, September.
    31. Hafeez, Bilal & Li, Xiping & Kabir, M. Humayun & Tripe, David, 2022. "Measuring bank risk: Forward-looking z-score," International Review of Financial Analysis, Elsevier, vol. 80(C).
    32. Nupur Moni Das & Bhabani Sankar Rout, 2020. "Banks’ capital adequacy ratio: a panacea or placebo," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 47(3), pages 303-318, September.
    33. Smaoui, Houcem & Mimouni, Karim & Miniaoui, Héla & Temimi, Akram, 2020. "Funding liquidity risk and banks' risk-taking: Evidence from Islamic and conventional banks," Pacific-Basin Finance Journal, Elsevier, vol. 64(C).
    34. Zongyuan Li & Rose Neng Lai, 2021. "Not All Bank Liquidity Creation Boosts Prices-The Case of the US Housing Market," International Real Estate Review, Global Social Science Institute, vol. 24(1), pages 19-58.
    35. Tian, Shu & Park, Donghyun & Cagas, Marie Anne, 2021. "Bond market development and bank stability: Evidence from emerging markets," Research in International Business and Finance, Elsevier, vol. 58(C).
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  11. Bui, Christina & Scheule, Harald & Wu, Eliza, 2017. "The value of bank capital buffers in maintaining financial system resilience," Journal of Financial Stability, Elsevier, vol. 33(C), pages 23-40.

    Cited by:

    1. Xiaohui Chen & Yiqing He, 2022. "The Impact of Financial Resilience and Steady Growth on High-Quality Economic Development—Based on a Heterogeneous Intermediary Effect Analysis," Sustainability, MDPI, vol. 14(22), pages 1-19, November.
    2. Benbouzid, Nadia & Kumar, Abhishek & Mallick, Sushanta K. & Sousa, Ricardo M. & Stojanovic, Aleksandar, 2022. "Bank credit risk and macro-prudential policies: Role of counter-cyclical capital buffer," Journal of Financial Stability, Elsevier, vol. 63(C).
    3. Shaofang Li, 2021. "Quality of Bank Capital, Competition, and Risk-Taking: Some International Evidence," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 57(12), pages 3455-3488, September.
    4. G. Gospodarchuk G. & Г. Господарчук Г., 2019. "Резервный буфер капитала как инструмент макропруденциальной политики // Reserve Capital buffer as an Instrument of Macroprudential Policy," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, vol. 23(4), pages 43-56.
    5. Alin-Marius Andries & Florentina Melnic & Simona Nistor, 2018. "Effects of Macroprudential Policy on Systemic Risk and Bank Risk Taking," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 68(3), pages 202-244, July.
    6. Borsuk, Marcin & Budnik, Katarzyna & Volk, Matjaz, 2020. "Buffer use and lending impact," Macroprudential Bulletin, European Central Bank, vol. 11.
    7. Shaofang Li, 2022. "The Impact of Capital Structure and Institutional Environment on Bank Competition: A Cross-Country Analysis," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(4), pages 997-1007, March.
    8. Ahmad Sahyouni & Man Wang, 2022. "Bank capital and liquidity creation: evidence from Islamic and conventional MENA banks," Afro-Asian Journal of Finance and Accounting, Inderscience Enterprises Ltd, vol. 12(3), pages 291-311.
    9. José Abad & Antonio I Garcia Pascual, 2022. "Usability of Bank Capital Buffers: The Role of Market Expectations," IMF Working Papers 2022/021, International Monetary Fund.
    10. Sivec, Vasja & Volk, Matjaz & Chen, Yi-An, 2018. "Empirical Evidence on the Effectiveness of Capital Buffer Release," MPRA Paper 84323, University Library of Munich, Germany, revised 02 Jan 2018.
    11. Cristina Ruza & Marta de la Cuesta-González & Juandiego Paredes-Gazquez, 2019. "Banking system resilience: an empirical appraisal," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 46(6), pages 1241-1257, October.
    12. Mathur, Aakriti & Naylor, Matthew & Rajan, Aniruddha, 2023. "Useful, usable, and used? Buffer usability during the Covid-19 crisis," Bank of England working papers 1011, Bank of England.
    13. 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).
    14. Damilola Oyetade & Adefemi A. Obalade & Paul-Francois Muzindutsi, 2022. "The Impact of Changes in Basel Capital Requirements on the Resilience of African Commercial Banks," Scientific Annals of Economics and Business (continues Analele Stiintifice), Alexandru Ioan Cuza University, Faculty of Economics and Business Administration, vol. 69(1), pages 111-132, January.

  12. Claußen, Arndt & Löhr, Sebastian & Rösch, Daniel & Scheule, Harald, 2017. "Valuation of systematic risk in the cross-section of credit default swap spreads," The Quarterly Review of Economics and Finance, Elsevier, vol. 64(C), pages 183-195.

    Cited by:

    1. Chamizo, Álvaro & Novales, Alfonso, 2020. "Looking through systemic credit risk: Determinants, stress testing and market value," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 64(C).
    2. Abdul Rafay & Yang Chen & Muhammad A.B.Naeem & Maham Ijaz, 2018. "Analyzing the Impact of Credit Ratings on Firm Performance and Stock Returns: An Evidence from Taiwan," Iranian Economic Review (IER), Faculty of Economics,University of Tehran.Tehran,Iran, vol. 22(3), pages 771-790, Summer.
    3. Adel Benhamed & Mohamed Sadok Gassouma, 2023. "Investigation and Modelling of Economic Systematic Risk and Capital Requirement: A Monte Carlo Simulation," JRFM, MDPI, vol. 16(4), pages 1-13, April.

  13. 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.

    Cited by:

    1. Huy Truong Quang & Yoshinori Hara, 2019. "Managing risks and system performance in supply network: a conceptual framework," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 32(2), pages 245-271.
    2. Bhattacharya, Arnab & Wilson, Simon P. & Soyer, Refik, 2019. "A Bayesian approach to modeling mortgage default and prepayment," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1112-1124.
    3. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.

  14. Rösch, Daniel & Scheule, Harald, 2016. "The role of loan portfolio losses and bank capital for Asian financial system resilience," Pacific-Basin Finance Journal, Elsevier, vol. 40(PB), pages 289-305.

    Cited by:

    1. Mahdiyeh Rezaei Chayjan & Tina Bagheri & Ahmad Kianian & Niloufar Ghafari Someh, 2022. "The optimisation of banking loan portfolio: a case of an Iranian commercial bank," International Journal of Financial Services Management, Inderscience Enterprises Ltd, vol. 11(3), pages 190-215.
    2. Lee, Yongwoong & Yang, Kisung, 2019. "Modeling diversification and spillovers of loan portfolios' losses by LHP approximation and copula," International Review of Financial Analysis, Elsevier, vol. 66(C).
    3. Robert J. Powell & Duc H. Vo, 2020. "A Comprehensive Stability Indicator for Banks," Risks, MDPI, vol. 8(1), pages 1-15, February.
    4. Necmi Kemal Avkiran & Lin Mi, 2017. "The Rising Systemic Importance of Chinese Banks: Should the World Be Concerned?," Australian Economic Review, The University of Melbourne, Melbourne Institute of Applied Economic and Social Research, vol. 50(4), pages 427-440, December.
    5. Xu, Qifa & Chen, Lu & Jiang, Cuixia & Yuan, Jing, 2018. "Measuring systemic risk of the banking industry in China: A DCC-MIDAS-t approach," Pacific-Basin Finance Journal, Elsevier, vol. 51(C), pages 13-31.
    6. Bui, Christina & Scheule, Harald & Wu, Eliza, 2017. "The value of bank capital buffers in maintaining financial system resilience," Journal of Financial Stability, Elsevier, vol. 33(C), pages 23-40.
    7. Lyazat TALIMOVA & Gauhar KALKABAYEVA, 2017. "Bank Lending under Macroeconomic Instability Analysis of the Situation in Kazakhstan," Journal of Advanced Research in Law and Economics, ASERS Publishing, vol. 8(4(26)), pages 1345-1349.
    8. Silva, Walmir & Kimura, Herbert & Sobreiro, Vinicius Amorim, 2017. "An analysis of the literature on systemic financial risk: A survey," Journal of Financial Stability, Elsevier, vol. 28(C), pages 91-114.
    9. Christina Bui, 2018. "Bank Regulation and Financial Stability," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 5-2018.
    10. Gauhar Kalkabayeva & Anar Kurmanalina & Zhanar Gusmanova, 2017. "Current State and Forecasting of the Development of Bank Crediting in Kazakhstan," Journal of Advanced Research in Law and Economics, ASERS Publishing, vol. 8(4(26)), pages 1161-1166.

  15. Rainer Jobst & Daniel Rösch & Harald Scheule & Martin Schmelzle, 2015. "A Simple Econometric Approach for Modeling Stress Event Intensities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 300-320, April.

    Cited by:

    1. Aboura, Sofiane & Chevallier, Julien, 2017. "A new weighting-scheme for equity indexes," International Review of Financial Analysis, Elsevier, vol. 54(C), pages 159-175.

  16. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2014. "Asset portfolio securitizations and cyclicality of regulatory capital," European Journal of Operational Research, Elsevier, vol. 237(1), pages 289-302.

    Cited by:

    1. Anachit Bagntasarian & Emmanuel Mamatzakis, 2019. "Testing for the underlying dynamics of bank capital buffer and performance nexus," Review of Quantitative Finance and Accounting, Springer, vol. 52(2), pages 347-380, February.
    2. Wolter, Marcus & Rösch, Daniel, 2014. "Cure events in default prediction," European Journal of Operational Research, Elsevier, vol. 238(3), pages 846-857.
    3. Mamatzakis, Emmanuel & Bagntasarian, Anna, 2019. "The nexus between underlying dynamics of bank capital buffer and performance," MPRA Paper 92961, University Library of Munich, Germany.
    4. van der Plaat, Mark T., 2021. "How to Measure Securitization: A Structural Equation Approach," MPRA Paper 109735, University Library of Munich, Germany.
    5. Krüger, Steffen & Rösch, Daniel & Scheule, Harald, 2018. "The impact of loan loss provisioning on bank capital requirements," Journal of Financial Stability, Elsevier, vol. 36(C), pages 114-129.

  17. D Rösch & H Scheule, 2014. "Forecasting probabilities of default and loss rates given default in the presence of selection," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(3), pages 393-407, March.

    Cited by:

    1. Nazemi, Abdolreza & Heidenreich, Konstantin & Fabozzi, Frank J., 2018. "Improving corporate bond recovery rate prediction using multi-factor support vector regressions," European Journal of Operational Research, Elsevier, vol. 271(2), pages 664-675.
    2. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2014. "Asset portfolio securitizations and cyclicality of regulatory capital," European Journal of Operational Research, Elsevier, vol. 237(1), pages 289-302.
    3. Nazemi, Abdolreza & Fatemi Pour, Farnoosh & Heidenreich, Konstantin & Fabozzi, Frank J., 2017. "Fuzzy decision fusion approach for loss-given-default modeling," European Journal of Operational Research, Elsevier, vol. 262(2), pages 780-791.
    4. Jean-David Fermanian, 2020. "On the Dependence between Default Risk and Recovery Rates in Structural Models," Annals of Economics and Statistics, GENES, issue 140, pages 45-82.
    5. Florian Kaposty & Philipp Klein & Matthias Löderbusch & Andreas Pfingsten, 2022. "Loss given default in SME leasing," Review of Managerial Science, Springer, vol. 16(5), pages 1561-1597, July.
    6. Alexander M. Karminsky & Ella Khromova, 2018. "Increase of banks’ credit risks forecasting power by the usage of the set of alternative models," Russian Journal of Economics, ARPHA Platform, vol. 4(2), pages 155-174, June.
    7. Ellen Tobback & David Martens & Tony Van Gestel & Bart Baesens, 2014. "Forecasting Loss Given Default models: impact of account characteristics and the macroeconomic state," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(3), pages 376-392, March.
    8. Krüger, Steffen & Oehme, Toni & Rösch, Daniel & Scheule, Harald, 2018. "A copula sample selection model for predicting multi-year LGDs and Lifetime Expected Losses," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 246-262.
    9. Jonathan Crook & David Edelman, 2014. "Special issue credit risk modelling," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 65(3), pages 321-322, March.
    10. Krüger, Steffen & Rösch, Daniel, 2017. "Downturn LGD modeling using quantile regression," Journal of Banking & Finance, Elsevier, vol. 79(C), pages 42-56.
    11. Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2018. "Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1113-1144.
    12. Tetiana Payanok & Mariya Kamenchuk, 2019. "Analysis and Forecasting of the Bank's Performance: The Case of the Privatbank," Oblik i finansi, Institute of Accounting and Finance, issue 4, pages 78-87, December.
    13. D’Amico, Guglielmo & Gismondi, Fulvio & Petroni, Filippo & Prattico, Flavio, 2019. "Stock market daily volatility and information measures of predictability," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 518(C), pages 22-29.
    14. 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.
    15. Nazemi, Abdolreza & Fabozzi, Frank J., 2018. "Macroeconomic variable selection for creditor recovery rates," Journal of Banking & Finance, Elsevier, vol. 89(C), pages 14-25.
    16. Lee, Yongwoong & Rösch, Daniel & Scheule, Harald, 2021. "Systematic credit risk in securitised mortgage portfolios," Journal of Banking & Finance, Elsevier, vol. 122(C).
    17. Peter-Hendrik Ingermann & Frederik Hesse & Christian Bélorgey & Andreas Pfingsten, 2016. "The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 179-228, August.
    18. Abdelkader Derbali & Lamia Jamel, 2018. "Dependence of default probability and recovery rate in structural credit risk models: Case of Greek banks," Post-Print hal-01695998, HAL.
    19. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.
    20. Jennifer Betz & Maximilian Nagl & Daniel Rösch, 2022. "Credit line exposure at default modelling using Bayesian mixed effect quantile regression," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(4), pages 2035-2072, October.
    21. Anastasios Petropoulos & Vasilis Siakoulis & Dionysios Mylonas & Aristotelis Klamargias, 2018. "A combined statistical framework for forecasting default rates of Greek Financial Institutions' credit portfolios," Working Papers 243, Bank of Greece.

  18. 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.

    Cited by:

    1. Claußen, Arndt & Rösch, Daniel & Schmelzle, Martin, 2019. "Hedging parameter risk," Journal of Banking & Finance, Elsevier, vol. 100(C), pages 111-121.
    2. Muhammad Suhail Rizwan & Asifa Obaid & Dawood Ashraf, 2017. "The Impact of Corporate Social Responsibility on Default Risk: Empirical evidence from US Firms," Business & Economic Review, Institute of Management Sciences, Peshawar, Pakistan, vol. 9(3), pages 36-70, September.

  19. Sebastian Löhr & Olga Mursajew & Daniel Rösch & Harald Scheule, 2013. "Dynamic Implied Correlation Modeling and Forecasting in Structured Finance," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 33(11), pages 994-1023, November.

    Cited by:

    1. Rainer Jobst & Daniel Rösch & Harald Scheule & Martin Schmelzle, 2015. "A Simple Econometric Approach for Modeling Stress Event Intensities," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 35(4), pages 300-320, April.

  20. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2013. "Ratings based capital adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5236-5247.

    Cited by:

    1. 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.
    2. Mardi Dungey & Marius Matei & Matteo Luciani & David Veredas, 2017. "Surfing through the GFC: Systemic Risk in Australia," The Economic Record, The Economic Society of Australia, vol. 93(300), pages 1-19, March.

  21. Matthias Bodenstedt & Daniel R�sch & Harald Scheule, 2013. "The path to impairment: do credit-rating agencies anticipate default events of structured finance transactions?," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 841-860, October.

    Cited by:

    1. Miguel Á. Peña-Cerezo & Arturo Rodríguez-Castellanos & Francisco J. Ibáñez-Hernández, 2019. "Multi-tranche securitisation structures: more than just a zero-sum game?," The European Journal of Finance, Taylor & Francis Journals, vol. 25(2), pages 167-189, January.
    2. Guneren Genc, Elif & Deniz Basar, Ozlem, 2019. "Comparison of Country Ratings of Credit Rating Agencies with MOORA Method," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 10(2), pages 391-404, April.

  22. Rösch, Daniel & Scheule, Harald, 2012. "Capital incentives and adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 733-748.

    Cited by:

    1. Benbouzid, Nadia & Mallick, Sushanta K. & Sousa, Ricardo M., 2017. "Do country-level financial structures explain bank-level CDS spreads?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 48(C), pages 135-145.
    2. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2014. "Asset portfolio securitizations and cyclicality of regulatory capital," European Journal of Operational Research, Elsevier, vol. 237(1), pages 289-302.
    3. Marco Migliorelli & Philippe Dessertine, 2018. "Time for new financing instruments? A market-oriented framework to finance environmentally friendly practices in EU agriculture," Journal of Sustainable Finance & Investment, Taylor & Francis Journals, vol. 8(1), pages 1-25, January.
    4. Matthias Bodenstedt & Daniel R�sch & Harald Scheule, 2013. "The path to impairment: do credit-rating agencies anticipate default events of structured finance transactions?," The European Journal of Finance, Taylor & Francis Journals, vol. 19(9), pages 841-860, October.
    5. Lützenkirchen, Kristina & Rösch, Daniel & Scheule, Harald, 2013. "Ratings based capital adequacy for securitizations," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 5236-5247.
    6. 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.
    7. Miguel Á. Peña-Cerezo & Arturo Rodríguez-Castellanos & Francisco J. Ibáñez-Hernández, 2019. "Multi-tranche securitisation structures: more than just a zero-sum game?," The European Journal of Finance, Taylor & Francis Journals, vol. 25(2), pages 167-189, January.
    8. Wang, Jiamei & Chen, Haibin & Zhang, Heng & Luo, Jianchao & Cheng, Mingwang & Zhang, Jiaping, 2022. "Property rights reform and capital adequacy ratios of rural credit cooperatives in China," Economic Modelling, Elsevier, vol. 106(C).
    9. Петрова Екатерина Александровна, 2014. "Оценка Риска Остаточной Стоимости Секьюритизированного Пула Активов Оперативного Лизинга," Вестник Финансового университета, CyberLeninka;Федеральное государственное образовательное бюджетное учреждение высшего профессионального образования «Финансовый университет при Правительстве Российской Федерации» (Финансовый университет), issue 3, pages 127-138.
    10. Marco Migliorelli & Philippe Dessertine, 2017. "Time for new financing instruments? A market-oriented framework to finance environmentally friendly practices in EU agriculture," Post-Print halshs-02103991, HAL.
    11. Huong Le & Rajesh Narayanan & Lai Vo, 2016. "Has the Effect of Asset Securitization on Bank Risk Taking Behavior Changed?," Journal of Financial Services Research, Springer;Western Finance Association, vol. 49(1), pages 39-64, February.
    12. Chen, Zhizhen & Liu, Frank Hong & Opong, Kwaku & Zhou, Mingming, 2017. "Short-term safety or long-term failure? Empirical evidence of the impact of securitization on bank risk," Journal of International Money and Finance, Elsevier, vol. 72(C), pages 48-74.
    13. E. Petrova A. & Е. Петрова А., 2014. "Оценка Риска Остаточной Стоимости Секьюритизированного Пула Активов Оперативного Лизинга // A Securitized Pool Of Operating Lease Assets And Its Residual Value Risk Evaluation," Финансы: теория и практика/Finance: Theory and Practice // Finance: Theory and Practice, ФГОБУВО Финансовый университет при Правительстве Российской Федерации // Financial University under The Government of Russian Federation, issue 3, pages 127-138.

  23. Howard Chan & Robert Faff & Paula Hill & Harald Scheule, 2011. "Are Watch Procedures A Critical Informational Event In The Credit Ratings Process? An Empirical Investigation," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 34(4), pages 617-640, December.

    Cited by:

    1. Winnie P. H. Poon & Jianfu Shen, 2020. "The roles of rating outlooks: the predictor of creditworthiness and the monitor of recovery efforts," Review of Quantitative Finance and Accounting, Springer, vol. 55(3), pages 1063-1091, October.
    2. Yuriy Zabolotnyuk, 2018. "Wealth Effects of Bond Rating Announcements," Multinational Finance Journal, Multinational Finance Journal, vol. 22(3-4), pages 211-254, September.
    3. Kiesel, F. & Kolaric, S., 2018. "Measuring the effect of watch-preceded and direct rating changes: a note on credit markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 87386, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Kiesel, F., 2017. "Creditwatches and their impact on financial markets," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 84852, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    5. Gerald J. Lobo & Luc Paugam & Hervé Stolowy & Pierre Astolfi, 2017. "The Effect of Business and Financial Market Cycles on Credit Ratings: Evidence from the Last Two Decades," Abacus, Accounting Foundation, University of Sydney, vol. 53(1), pages 59-93, March.
    6. Götze, Tobias & Gürtler, Marc, 2020. "Hard markets, hard times: On the inefficiency of the CAT bond market," Journal of Corporate Finance, Elsevier, vol. 62(C).
    7. A. Seetharaman & Vikas Kumar Sahu & A. S. Saravanan & John Rudolph Raj & Indu Niranjan, 2017. "The Impact of Risk Management in Credit Rating Agencies," Risks, MDPI, vol. 5(4), pages 1-16, September.
    8. Florian Kiesel & Sascha Kolaric, 2018. "Measuring the effect of watch-preceded and direct rating changes: a note on credit markets," Review of Quantitative Finance and Accounting, Springer, vol. 50(2), pages 653-672, February.

  24. Benjamin Bade & Daniel Rösch & Harald Scheule, 2011. "Default and Recovery Risk Dependencies in a Simple Credit Risk Model," European Financial Management, European Financial Management Association, vol. 17(1), pages 120-144, January.

    Cited by:

    1. Gürtler, Marc & Hibbeln, Martin, 2013. "Improvements in loss given default forecasts for bank loans," Journal of Banking & Finance, Elsevier, vol. 37(7), pages 2354-2366.
    2. Barbagli, Matteo & Vrins, Frédéric, 2023. "Accounting for PD-LGD dependency: A tractable extension to the Basel ASRF framework," Economic Modelling, Elsevier, vol. 125(C).
    3. Satoshi Yamashita & Toshinao Yoshiba, 2013. "A collateralized loan's loss under a quadratic Gaussian default intensity process," Quantitative Finance, Taylor & Francis Journals, vol. 13(12), pages 1935-1946, December.
    4. Sascha Wilkens & Jean†Baptiste Brunac & Vladimir Chorniy, 2013. "IRC and CRM: Modelling Framework for the ‘Basel 2.5’ Risk Measures," European Financial Management, European Financial Management Association, vol. 19(4), pages 801-829, September.
    5. 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.
    6. Frank Ranganai Matenda & Mabutho Sibanda & Eriyoti Chikodza & Victor Gumbo, 2022. "Corporate Loan Recovery Rates under Downturn Conditions in a Developing Economy: Evidence from Zimbabwe," Risks, MDPI, vol. 10(10), pages 1-24, October.
    7. Florian Kaposty & Philipp Klein & Matthias Löderbusch & Andreas Pfingsten, 2022. "Loss given default in SME leasing," Review of Managerial Science, Springer, vol. 16(5), pages 1561-1597, July.
    8. Krüger, Steffen & Oehme, Toni & Rösch, Daniel & Scheule, Harald, 2018. "A copula sample selection model for predicting multi-year LGDs and Lifetime Expected Losses," Journal of Empirical Finance, Elsevier, vol. 47(C), pages 246-262.
    9. Frontczak, Robert & Rostek, Stefan, 2015. "Modeling loss given default with stochastic collateral," Economic Modelling, Elsevier, vol. 44(C), pages 162-170.
    10. Betz, Jennifer & Kellner, Ralf & Rösch, Daniel, 2018. "Systematic Effects among Loss Given Defaults and their Implications on Downturn Estimation," European Journal of Operational Research, Elsevier, vol. 271(3), pages 1113-1144.
    11. Thomas Hartmann-Wendels & Christopher Paulus Imanto, 2023. "Is the regulatory downturn LGD adequate? Performance analysis and alternative methods," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 74(3), pages 736-747, March.
    12. Wolter, Marcus & Rösch, Daniel, 2014. "Cure events in default prediction," European Journal of Operational Research, Elsevier, vol. 238(3), pages 846-857.
    13. Franco Varetto, 2017. "La correlazione tra PD ed LGD nell’analisi del rischio di credito/The correlation between probability of default and loss given default in the credit risk analysis," IRCrES Working Paper 201714, CNR-IRCrES Research Institute on Sustainable Economic Growth - Moncalieri (TO) ITALY - former Institute for Economic Research on Firms and Growth - Torino (TO) ITALY.
    14. Rubén García-Céspedes & Manuel Moreno, 2020. "Random LGD adjustments in the Vasicek credit risk model," The European Journal of Finance, Taylor & Francis Journals, vol. 26(18), pages 1856-1875, December.
    15. Cheng, Dan & Cirillo, Pasquale, 2018. "A reinforced urn process modeling of recovery rates and recovery times," Journal of Banking & Finance, Elsevier, vol. 96(C), pages 1-17.
    16. Yanlai Song & Stanford Shateyi & Jianying He & Xueqing Cui, 2022. "Interactions of Logistic Distribution to Credit Valuation Adjustment: A Study on the Associated Expected Exposure and the Conditional Value at Risk," Mathematics, MDPI, vol. 10(20), pages 1-15, October.
    17. Peter-Hendrik Ingermann & Frederik Hesse & Christian Bélorgey & Andreas Pfingsten, 2016. "The recovery rate for retail and commercial customers in Germany: a look at collateral and its adjusted market values," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 179-228, August.
    18. Jiri Witzany, 2013. "Estimating Default and Recovery Rate Correlations," Working Papers IES 2013/03, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Apr 2013.
    19. Alexander Becker & Alexander F. R. Koivusalo & Rudi Schafer, 2012. "Empirical Evidence for the Structural Recovery Model," Papers 1203.3188, arXiv.org.
    20. Do, Hung Xuan & Rösch, Daniel & Scheule, Harald, 2018. "Predicting loss severities for residential mortgage loans: A three-step selection approach," European Journal of Operational Research, Elsevier, vol. 270(1), pages 246-259.
    21. Hafiz Waqas Kamran & Abdelnaser Omran & Shamsul Bahrain Mohamed-Arshad, 2019. "Risk Management, Capital Adequacy and Audit Quality for Financial Stability: Assessment from Commercial Banks of Pakistan," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 9(6), pages 654-664.
    22. Hibbeln, Martin & Gürtler, Marc, 2011. "Pitfalls in modeling loss given default of bank loans," Working Papers IF35V1, Technische Universität Braunschweig, Institute of Finance.
    23. Abu, Benjamin Musah & Domanban, Paul Bata & Haruna, Issahaku, 2017. "Microcredit Loan Repayment Default among Small Scale Enterprises: A Double Hurdle Approach," MPRA Paper 101576, University Library of Munich, Germany, revised 12 Mar 2017.
    24. Alexander F. R. Koivusalo & Rudi Schafer, 2011. "Calibration of structural and reduced-form recovery models," Papers 1102.4864, arXiv.org.

  25. Daniel Rösch & Harald Scheule, 2010. "Downturn Credit Portfolio Risk, Regulatory Capital and Prudential Incentives," International Review of Finance, International Review of Finance Ltd., vol. 10(2), pages 185-207, June.
    See citations under working paper version above.
  26. Daniel Rösch & Harald Scheule, 2004. "Forecasting Retail Portfolio Credit Risk," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 5(2), pages 16-32, February.
    See citations under working paper version above.

Chapters

  1. Daniel Rösch & Harald Scheule, 2006. "A Multi-Factor Approach for Systematic Default and Recovery Risk," Springer Books, in: Bernd Engelmann & Robert Rauhmeier (ed.), The Basel II Risk Parameters, chapter 0, pages 105-125, Springer.
    See citations under working paper version above.Sorry, no citations of chapters recorded.
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