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A note on estimating market–based minimum capital risk requirements: a multivariate GARCH approach

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Brooks, C., Clare, A.D. and Persand, G. (2002) A note on estimating market–based minimum capital risk requirements: a multivariate GARCH approach. The Manchester School, 70 (5). pp. 666-681. ISSN 1467-9957

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To link to this article DOI: 10.1111/1467-9957.00319

Abstract/Summary

Internal risk management models of the kind popularized by J. P. Morgan are now used widely by the world’s most sophisticated financial institutions as a means of measuring risk. Using the returns on three of the most popular futures contracts on the London International Financial Futures Exchange, in this paper we investigate the possibility of using multivariate generalized autoregressive conditional heteroscedasticity (GARCH) models for the calculation of minimum capital risk requirements (MCRRs). We propose a method for the estimation of the value at risk of a portfolio based on a multivariate GARCH model. We find that the consideration of the correlation between the contracts can lead to more accurate, and therefore more appropriate, MCRRs compared with the values obtained from a univariate approach to the problem.

Item Type:Article
Refereed:Yes
Divisions:Henley Business School > ICMA Centre
ID Code:24153
Publisher:Blackwell

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