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Statistical Methodologies for the Market Risk Measurement

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Abstract

This paper classifies statistical methodologies available for the marketrisk measurement. With the help of the weighted likelihood, a broad class ofnon-normal distributions, which are not generally considered so far, areapplied to possibly hetero-scedastic financial variables. The approach is compared with popular procedures such as GARCH and J. P. Morgan's using daily dataof 12 financial variables.

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References

  • Fan, J. and Gijbels, I. (1996) Local Polynomial Modelling and Its Applications, Chapman and Hall.

  • Green, W. H. (1997) Econometric Analysis, 3rd edn, Prentice-Hall.

  • Hull, J. and White, A. (1998) Incorporating volatility up-dating into the historical simulation method for VaR, The Journal of Risk 1(1), 5-19.

    Google Scholar 

  • J. P. Morgan, (1995) Technical Document, 3rd edn., J. P. Morgan.

  • Miura, R. and Tsukahara, H. (1993) One-sample estimation for generalized Lehmann's alternative models, Statistica Sincia 3(1), 83-101.

    Google Scholar 

  • Tukey, J. W. (1977) Exploratory Data Analysis, Addison-Wesley.

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Miura, R., Oue, S. Statistical Methodologies for the Market Risk Measurement. Asia-Pacific Financial Markets 7, 305–319 (2000). https://doi.org/10.1023/A:1010077117199

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  • DOI: https://doi.org/10.1023/A:1010077117199

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