Chaudhary, Dinesh (2014): Sensitivity analysis of scenario models for operational risk Advanced Measurement Approach.
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Abstract
Scenario Analysis (SA) plays a key role in determination of operational risk capital under Basel II Advanced Measurement Approach. However, operational risk capital based on scenario data may exhibit high sensitivity or wrong-way sensitivity to scenario inputs. In this paper, we first discuss scenario generation using quantile approach and parameter estimation using quantile matching. Then we use single-loss approximation (SLA) to examine sensitivity of scenario based capital to scenario inputs.
Item Type: | MPRA Paper |
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Original Title: | Sensitivity analysis of scenario models for operational risk Advanced Measurement Approach |
Language: | English |
Keywords: | Operational risk; Sensitivity analysis; Scenario analysis; Advanced Measurement Approach |
Subjects: | D - Microeconomics > D8 - Information, Knowledge, and Uncertainty > D81 - Criteria for Decision-Making under Risk and Uncertainty G - Financial Economics > G2 - Financial Institutions and Services > G21 - Banks ; Depository Institutions ; Micro Finance Institutions ; Mortgages G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy ; Financial Risk and Risk Management ; Capital and Ownership Structure ; Value of Firms ; Goodwill |
Item ID: | 60996 |
Depositing User: | Mr. Dinesh Chaudhary |
Date Deposited: | 29 Dec 2014 16:02 |
Last Modified: | 27 Sep 2019 07:56 |
References: | Basel Committee on Banking Supervision. (2009a). Observed range of practice in key elements of advanced measurement approaches (AMA), 61-64 Basel Committee on Banking Supervision. (2009b). Results from the 2008 loss data collection exercise for operational risk, Annex E, 17 Böcker, K. & Klüppelberg, C. (2005). Operational VAR: a closed-form approximation, Risk Magazine, 90-93 Böcker, K. & Sprittulla, J. (2008). Operational VAR: meaningful means, Risk Magazine, 96-98 Chaudhury, M. (2010), A review of the key Issues in operational risk capital modelling, 14-19 Colombo, A. & Desando, S. (2008). Developing and implementing scenario analysis models to measure operational risk at Intesa Sanpaolo, Retrieved from http://in.mathworks.com/company/newsletters/articles/developing-and-implementing-scenario-analysis-models-to-measure-operational-risk-at-intesa-sanpaolo.html Opdyke, J. & Cavallo, A. (2012), Estimating operational risk capital: The challenges of truncation, the hazards of MLE, and the promise of robust statistics, 30 Risk Management Association (2012), Scenario analysis practices Rosengren, E. (2006). Operational risk scenario analysis workshop: Scenario analysis and the AMA [Powerpoint slides]. Retrieved from https://www.boj.or.jp/en/announcements/release_2006/data/fsc0608be9.pdf Shevchenko, P.V. & Wüthrich, M.V. (2006). The structural modelling of operational risk via Bayesian inference: combining loss data with expert opinions, The Journal of Operational Risk 1(3), 3-26 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/60996 |