Boucher, Christophe M., Danielsson, Jon, Kouontchou, Patrick S. and Maillet, Bertrand B. (2014) Risk models–at–risk. Systemic Risk Centre Discussion Papers (8). Systemic Risk Centre, The London School of Economics and Political Science, London, UK.
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Abstract
The experience from the global financial crisis has raised serious concerns about the accuracy of standard risk measures as tools for the quantification of extreme downward risk. A key reason for this is that risk measures are subject to model risk due, e.g., to specification and estimation uncertainty. While the authorities would like financial institutions to assess model risk, there is no accepted approach for such computations. We propose a remedy for this by a general framework for the computation of risk measures robust to model risk by empirically adjusting imperfect risk forecasts by outcomes from backtesting, considering the desirable quality of VaR models such as the frequency, independence and magnitude of violations. We also provide a fair comparison between the main risk models using the same metric that corresponds to model risk required corrections.
| Item Type: | Monograph (Discussion Paper) |
|---|---|
| Official URL: | http://www.systemicrisk.ac.uk/ |
| Additional Information: | © 2014 The Authors |
| Divisions: | Finance Financial Markets Group Systemic Risk Centre |
| Subjects: | H Social Sciences > HG Finance |
| JEL classification: | C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C50 - General G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice; Investment Decisions G - Financial Economics > G3 - Corporate Finance and Governance > G32 - Financing Policy; Financial Risk and Risk Management; Capital and Ownership Structure |
| Date Deposited: | 29 Aug 2014 11:50 |
| Last Modified: | 30 Mar 2024 17:03 |
| Projects: | ES/K002309/1 |
| Funders: | Economic and Social Research Council |
| URI: | http://eprints.lse.ac.uk/id/eprint/59299 |
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