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Measuring Distribution Model Risk
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Cited by:
- Penev, Spiridon & Shevchenko, Pavel V. & Wu, Wei, 2019. "The impact of model risk on dynamic portfolio selection under multi-period mean-standard-deviation criterion," European Journal of Operational Research, Elsevier, vol. 273(2), pages 772-784.
- Ahmadi-Javid, Amir & Fallah-Tafti, Malihe, 2019. "Portfolio optimization with entropic value-at-risk," European Journal of Operational Research, Elsevier, vol. 279(1), pages 225-241.
- Kim, Sojung & Weber, Stefan, 2022. "Simulation methods for robust risk assessment and the distorted mix approach," European Journal of Operational Research, Elsevier, vol. 298(1), pages 380-398.
- repec:osf:osfxxx:wzayx_v1 is not listed on IDEAS
- Thomas Breuer & Martin Summer, 2018. "Systematic Systemic Stress Tests," Working Papers 225, Oesterreichische Nationalbank (Austrian Central Bank).
- Aikman, David & Angotti, Romain & Budnik, Katarzyna, 2024. "Stress testing with multiple scenarios: a tale on tails and reverse stress scenarios," Working Paper Series 2941, European Central Bank.
- Yu Feng & Ralph Rudd & Christopher Baker & Qaphela Mashalaba & Melusi Mavuso & Erik Schlögl, 2021.
"Quantifying the Model Risk Inherent in the Calibration and Recalibration of Option Pricing Models,"
Risks, MDPI, vol. 9(1), pages 1-20, January.
- Yu Feng & Ralph Rudd & Christopher Baker & Qaphela Mashalaba & Melusi Mavuso & Erik Schlogl, 2018. "Quantifying the Model Risk Inherent in the Calibration and Recalibration of Option Pricing Models," Research Paper Series 395, Quantitative Finance Research Centre, University of Technology, Sydney.
- Yu Feng & Ralph Rudd & Christopher Baker & Qaphela Mashalaba & Melusi Mavuso & Erik Schlogl, 2018. "Quantifying the Model Risk Inherent in the Calibration and Recalibration of Option Pricing Models," Papers 1810.09112, arXiv.org.
- Mariano González-Sánchez & Eva M. Ibáñez Jiménez & Ana I. Segovia San Juan, 2022. "Market and model risks: a feasible joint estimate methodology," Risk Management, Palgrave Macmillan, vol. 24(3), pages 187-213, September.
- Thomas Kruse & Judith C. Schneider & Nikolaus Schweizer, 2019. "Technical Note—The Joint Impact of F -Divergences and Reference Models on the Contents of Uncertainty Sets," Operations Research, INFORMS, vol. 67(2), pages 428-435, March.
- Valeriane Jokhadze & Wolfgang M. Schmidt, 2020. "Measuring Model Risk In Financial Risk Management And Pricing," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 23(02), pages 1-37, April.
- Corina Birghila & Tim J. Boonen & Mario Ghossoub, 2023. "Optimal insurance under maxmin expected utility," Finance and Stochastics, Springer, vol. 27(2), pages 467-501, April.
- Spiridon Penev & Pavel V. Shevchenko & Wei Wu, 2021. "The impact of model risk on dynamic portfolio selection under multi-period mean-standard-deviation criterion," Papers 2108.02633, arXiv.org.
- Nishiyama, Tomohiro, 2020. "Minimization Problems on Strictly Convex Divergences," OSF Preprints wzayx, Center for Open Science.
- Yu Feng, 2019. "Theory and Application of Model Risk Quantification," PhD Thesis, Finance Discipline Group, UTS Business School, University of Technology, Sydney, number 3-2019, January-A.
- Righi, Marcelo Brutti & Müller, Fernanda Maria & Moresco, Marlon Ruoso, 2025. "A risk measurement approach from risk-averse stochastic optimization of score functions," Insurance: Mathematics and Economics, Elsevier, vol. 120(C), pages 42-50.
- Corina Birghila & Tim J. Boonen & Mario Ghossoub, 2020. "Optimal Insurance under Maxmin Expected Utility," Papers 2010.07383, arXiv.org.
- Thomas Kruse & Judith C. Schneider & Nikolaus Schweizer, 2021. "A Toolkit for Robust Risk Assessment Using F -Divergences," Management Science, INFORMS, vol. 67(10), pages 6529-6552, October.
- Park, Jangho & Bayraksan, Güzin, 2023. "A multistage distributionally robust optimization approach to water allocation under climate uncertainty," European Journal of Operational Research, Elsevier, vol. 306(2), pages 849-871.
- Roberto Fontana & Patrizia Semeraro, 2023. "Measuring distribution risk in discrete models," Papers 2302.08838, arXiv.org.
- R. Tyrrell Rockafellar, 2024. "Distributional robustness, stochastic divergences, and the quadrangle of risk," Computational Management Science, Springer, vol. 21(1), pages 1-30, June.
- Gourieroux, Christian & Tiomo, Andre, 2019. "The Evaluation of Model Risk for Probability of Default and Expected Loss," MPRA Paper 95795, University Library of Munich, Germany.
- Amir Ahmadi-Javid & Malihe Fallah-Tafti, 2017. "Portfolio Optimization with Entropic Value-at-Risk," Papers 1708.05713, arXiv.org.
- Mohammed Berkhouch & Fernanda Maria Müller & Ghizlane Lakhnati & Marcelo Brutti Righi, 2022. "Deviation-Based Model Risk Measures," Computational Economics, Springer;Society for Computational Economics, vol. 59(2), pages 527-547, February.
- Sebastian Jaimungal & Silvana M. Pesenti & Leandro S'anchez-Betancourt, 2022. "Minimal Kullback-Leibler Divergence for Constrained L\'evy-It\^o Processes," Papers 2206.14844, arXiv.org, revised Aug 2022.
- Breuer, Thomas & Summer, Martin, 2020. "Systematic stress tests on public data," Journal of Banking & Finance, Elsevier, vol. 118(C).
- Brandtner, Mario & Kürsten, Wolfgang & Rischau, Robert, 2018. "Entropic risk measures and their comparative statics in portfolio selection: Coherence vs. convexity," European Journal of Operational Research, Elsevier, vol. 264(2), pages 707-716.