Stressing Dynamic Loss Models
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Paul Glasserman & Chulmin Kang & Wanmo Kang, 2015. "Stress scenario selection by empirical likelihood," Quantitative Finance, Taylor & Francis Journals, vol. 15(1), pages 25-41, January.
- 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.
- Douglas Bonett & Thomas Wright, 2000. "Sample size requirements for estimating pearson, kendall and spearman correlations," Psychometrika, Springer;The Psychometric Society, vol. 65(1), pages 23-28, March.
- Pesenti, Silvana M. & Millossovich, Pietro & Tsanakas, Andreas, 2019. "Reverse sensitivity testing: What does it take to break the model?," European Journal of Operational Research, Elsevier, vol. 274(2), pages 654-670.
- Breuer, Thomas & Jandačka, Martin & Mencía, Javier & Summer, Martin, 2012.
"A systematic approach to multi-period stress testing of portfolio credit risk,"
Journal of Banking & Finance, Elsevier, vol. 36(2), pages 332-340.
- Thomas Breuer & Martin Jandačka & Javier Mencía & Martin Summer, 2010. "A systematic approach to multi-period stress testing of portfolio credit risk," Working Papers 1018, Banco de España.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Kroell, Emma & Pesenti, Silvana M. & Jaimungal, Sebastian, 2024. "Stressing dynamic loss models," Insurance: Mathematics and Economics, Elsevier, vol. 114(C), pages 56-78.
- Peter Grundke & Kamil Pliszka, 2018.
"A macroeconomic reverse stress test,"
Review of Quantitative Finance and Accounting, Springer, vol. 50(4), pages 1093-1130, May.
- Grundke, Peter & Pliszka, Kamil, 2015. "A macroeconomic reverse stress test," Discussion Papers 30/2015, Deutsche Bundesbank.
- Pliszka, Kamil, 2021. "System-wide and banks' internal stress tests: Regulatory requirements and literature review," Discussion Papers 19/2021, Deutsche Bundesbank.
- Darné, Olivier & Levy-Rueff, Guy & Pop, Adrian, 2024. "The calibration of initial shocks in bank stress test scenarios: An outlier detection based approach," Economic Modelling, Elsevier, vol. 136(C).
- Makam, Vaishno Devi & Millossovich, Pietro & Tsanakas, Andreas, 2021. "Sensitivity analysis with χ2-divergences," Insurance: Mathematics and Economics, Elsevier, vol. 100(C), pages 372-383.
- Gloria González‐Rivera & C. Vladimir Rodríguez‐Caballero & Esther Ruiz, 2024.
"Expecting the unexpected: Stressed scenarios for economic growth,"
Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(5), pages 926-942, August.
- Gloria Gonzalez-Rivera & Vladimir Rodriguez-Caballero & Esther Ruiz, 2023. "Expecting the unexpected: Stressed scenarios for economic growth," Working Papers 202314, University of California at Riverside, Department of Economics.
- Tobias Fissler & Silvana M. Pesenti, 2022. "Sensitivity Measures Based on Scoring Functions," Papers 2203.00460, arXiv.org, revised Jul 2022.
- Michael Jacobs, 2020. "A Holistic Model Validation Framework for Current Expected Credit Loss (CECL) Model Development and Implementation," IJFS, MDPI, vol. 8(2), pages 1-36, May.
- 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.
- 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.
- Li, Zhitao & Tang, Jinjun & Zhao, Chuyun & Gao, Fan, 2023. "Improved centrality measure based on the adapted PageRank algorithm for urban transportation multiplex networks," Chaos, Solitons & Fractals, Elsevier, vol. 167(C).
- Richard Chamboko & Jorge M. Bravo, 2016. "On the modelling of prognosis from delinquency to normal performance on retail consumer loans," Risk Management, Palgrave Macmillan, vol. 18(4), pages 264-287, December.
- Katsuhiro Tanaka, 2019. "Forecasting plausible scenarios and losses in interest rate targeting using mathematical optimization," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 1-24, September.
- Azamat Abdymomunov & Sharon Blei & Bakhodir Ergashev, 2015. "Integrating Stress Scenarios into Risk Quantification Models," Journal of Financial Services Research, Springer;Western Finance Association, vol. 47(1), pages 57-79, February.
- 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.
- Qiang Tu & Han He & Xiaomin Lai & Chuan Jiang & Zhanji Zheng, 2024. "Identifying Critical Links in Degradable Road Networks Using a Traffic Demand-Based Indicator," Sustainability, MDPI, vol. 16(18), pages 1-20, September.
- Pesenti, Silvana M. & Millossovich, Pietro & Tsanakas, Andreas, 2019. "Reverse sensitivity testing: What does it take to break the model?," European Journal of Operational Research, Elsevier, vol. 274(2), pages 654-670.
- Boucher, Christophe M. & Daníelsson, Jón & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014.
"Risk models-at-risk,"
Journal of Banking & Finance, Elsevier, vol. 44(C), pages 72-92.
- Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-02312332, HAL.
- Christophe Boucher & Jón Daníelsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk models-at-risk," Post-Print hal-01243413, HAL.
- Boucher, Christophe M. & Danielsson, Jon & Kouontchou, Patrick S. & Maillet, Bertrand B., 2014. "Risk models–at–risk," LSE Research Online Documents on Economics 59299, London School of Economics and Political Science, LSE Library.
- Christophe Boucher & Jon Danielsson & Patrick Kouontchou & Bertrand Maillet, 2014. "Risk Model-at-Risk," Post-Print hal-01386003, HAL.
- Mr. Dimitri G Demekas, 2015. "Designing Effective Macroprudential Stress Tests: Progress So Far and the Way Forward," IMF Working Papers 2015/146, International Monetary Fund.
- Yann Braouezec & Lakshithe Wagalath, 2018. "Risk-Based Capital Requirements and Optimal Liquidation in a Stress Scenario [Testing macroprudential stress tests: the risk of regulatory risk weights]," Review of Finance, European Finance Association, vol. 22(2), pages 747-782.
More about this item
NEP fields
This paper has been announced in the following NEP Reports:- NEP-RMG-2022-12-12 (Risk Management)
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:arx:papers:2211.03221. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: arXiv administrators (email available below). General contact details of provider: http://arxiv.org/ .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.