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Model choice and value-at-risk performance

Model choice and value-at-risk performance
Model choice and value-at-risk performance
Broad agreement exists among both the investment banking and regulatory communities that the use of internal risk management models is an efficient means for calculating capital risk requirements. The determination of model parameters laid down by the Basle Committee on Banking Supervision as necessary for estimating and evaluating the capital adequacies, however, has received little academic scrutiny. We investigate a number of issues of statistical modeling in the context of determining market-based capital risk requirements. We highlight several potentially serious pitfalls in commonly applied methodologies and conclude that simple methods for calculating value at risk often provide superior performance to complex procedures. Our results thus have important implications for risk managers and market regulators.
0015-198X
87-97
Brooks, Chris
2be5f663-66b8-43d2-903c-6f800e6e2385
Persand, Gita
d60c4b3f-fd3b-4b0a-892f-3c4eb992f15d
Brooks, Chris
2be5f663-66b8-43d2-903c-6f800e6e2385
Persand, Gita
d60c4b3f-fd3b-4b0a-892f-3c4eb992f15d

Brooks, Chris and Persand, Gita (2002) Model choice and value-at-risk performance. Financial Analysts Journal, 58 (5), 87-97. (doi:10.2469/faj.v58.n5.2471).

Record type: Article

Abstract

Broad agreement exists among both the investment banking and regulatory communities that the use of internal risk management models is an efficient means for calculating capital risk requirements. The determination of model parameters laid down by the Basle Committee on Banking Supervision as necessary for estimating and evaluating the capital adequacies, however, has received little academic scrutiny. We investigate a number of issues of statistical modeling in the context of determining market-based capital risk requirements. We highlight several potentially serious pitfalls in commonly applied methodologies and conclude that simple methods for calculating value at risk often provide superior performance to complex procedures. Our results thus have important implications for risk managers and market regulators.

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Published date: 2002

Identifiers

Local EPrints ID: 36528
URI: http://eprints.soton.ac.uk/id/eprint/36528
ISSN: 0015-198X
PURE UUID: 0b5ababe-afe1-4cf3-a230-9043e4eb1fed

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Date deposited: 24 May 2006
Last modified: 15 Mar 2024 07:57

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Contributors

Author: Chris Brooks
Author: Gita Persand

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