Predicting Default Probabilities for Stress Tests: A Comparison of Models
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- Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2023.
"Nowcasting in a pandemic using non-parametric mixed frequency VARs,"
Journal of Econometrics, Elsevier, vol. 232(1), pages 52-69.
- Florian Huber & Gary Koop & Luca Onorante & Michael Pfarrhofer & Josef Schreiner, 2020. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," Papers 2008.12706, arXiv.org, revised Dec 2020.
- Florian, Huber & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a Pandemic using Non-Parametric Mixed Frequency VARs," JRC Working Papers in Economics and Finance 2021-01, Joint Research Centre, European Commission.
- Huber, Florian & Koop, Gary & Onorante, Luca & Pfarrhofer, Michael & Schreiner, Josef, 2021. "Nowcasting in a pandemic using non-parametric mixed frequency VARs," Working Paper Series 2510, European Central Bank.
- Castro, Vítor, 2013.
"Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI,"
Economic Modelling, Elsevier, vol. 31(C), pages 672-683.
- Vítor Castro, 2012. "Macroeconomic determinants of the credit risk in the banking system: The case of the GIPSI," NIPE Working Papers 11/2012, NIPE - Universidade do Minho.
- Vítor Castro, 2013. "Macroeconomic Determinants of the Credit Risk in the Banking System: The Case of the GIPSI," GEMF Working Papers 2013-12, GEMF, Faculty of Economics, University of Coimbra.
- Carlos M. Carvalho & Nicholas G. Polson & James G. Scott, 2010. "The horseshoe estimator for sparse signals," Biometrika, Biometrika Trust, vol. 97(2), pages 465-480.
- Peter Grundke & Kamil Pliszka & Michael Tuchscherer, 2020.
"Model and estimation risk in credit risk stress tests,"
Review of Quantitative Finance and Accounting, Springer, vol. 55(1), pages 163-199, July.
- Grundke, Peter & Pliszka, Kamil & Tuchscherer, Michael, 2019. "Model and estimation risk in credit risk stress tests," Discussion Papers 09/2019, Deutsche Bundesbank.
- Bostjan Aver, 2008. "An Empirical Analysis of Credit Risk Factors of the Slovenian Banking System," Managing Global Transitions, University of Primorska, Faculty of Management Koper, vol. 6(3), pages 317-334.
- Hsiao, Cheng & Wan, Shui Ki, 2014. "Is there an optimal forecast combination?," Journal of Econometrics, Elsevier, vol. 178(P2), pages 294-309.
- Diebold, Francis X & Mariano, Roberto S, 2002.
"Comparing Predictive Accuracy,"
Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
- Diebold, Francis X & Mariano, Roberto S, 1995. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 253-263, July.
- Francis X. Diebold & Roberto S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
- Anirban Bhattacharya & Debdeep Pati & Natesh S. Pillai & David B. Dunson, 2015. "Dirichlet--Laplace Priors for Optimal Shrinkage," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 110(512), pages 1479-1490, December.
- Castrén, Olli & Dées, Stéphane & Zaher, Fadi, 2010. "Stress-testing euro area corporate default probabilities using a global macroeconomic model," Journal of Financial Stability, Elsevier, vol. 6(2), pages 64-78, June.
- Hansen, Bruce E. & Racine, Jeffrey S., 2012. "Jackknife model averaging," Journal of Econometrics, Elsevier, vol. 167(1), pages 38-46.
- Marco Gross & Javier Población, 2019. "Implications of Model Uncertainty for Bank Stress Testing," Journal of Financial Services Research, Springer;Western Finance Association, vol. 55(1), pages 31-58, February.
- Elliott, Graham & Rothenberg, Thomas J & Stock, James H, 1996.
"Efficient Tests for an Autoregressive Unit Root,"
Econometrica, Econometric Society, vol. 64(4), pages 813-836, July.
- Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
- Tom Doan, "undated". "GLSDETREND: RATS procedure to perform local to unity GLS detrending," Statistical Software Components RTS00077, Boston College Department of Economics.
- Tom Doan, "undated". "ERSTEST: RATS procedure to perform Elliott-Rothenberg-Stock unit root tests," Statistical Software Components RTS00066, Boston College Department of Economics.
- Hyndman, Rob J. & Koehler, Anne B., 2006.
"Another look at measures of forecast accuracy,"
International Journal of Forecasting, Elsevier, vol. 22(4), pages 679-688.
- Rob J. Hyndman & Anne B. Koehler, 2005. "Another Look at Measures of Forecast Accuracy," Monash Econometrics and Business Statistics Working Papers 13/05, Monash University, Department of Econometrics and Business Statistics.
- Ivan Alves, 2005. "Sectoral fragility: factors and dynamics," BIS Papers chapters, in: Bank for International Settlements (ed.), Investigating the relationship between the financial and real economy, volume 22, pages 450-80, Bank for International Settlements.
- Fan J. & Li R., 2001. "Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties," Journal of the American Statistical Association, American Statistical Association, vol. 96, pages 1348-1360, December.
- Bruce E. Hansen, 2007. "Least Squares Model Averaging," Econometrica, Econometric Society, vol. 75(4), pages 1175-1189, July.
- Marcello Bofondi & Tiziano Ropele, 2011. "Macroeconomic determinants of bad loans: evidence from Italian banks," Questioni di Economia e Finanza (Occasional Papers) 89, Bank of Italy, Economic Research and International Relations Area.
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This paper has been announced in the following NEP Reports:- NEP-BAN-2022-03-07 (Banking)
- NEP-CMP-2022-03-07 (Computational Economics)
- NEP-FDG-2022-03-07 (Financial Development and Growth)
- NEP-RMG-2022-03-07 (Risk Management)
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