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On the appropriateness of inappropriate VaR models

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  • Härdle, Wolfgang Karl
  • Hlávka, Zdeněk
  • Stahl, Gerhard

Abstract

The Value-at-Risk calculation reduces the dimensionality of the risk factor space. The main reasons for such simplifications are, e.g., technical efficiency, the logic and statistical appropriateness of the model. In Chapter 2 we present three simple mappings: the mapping on the market index, the principal components model and the model with equally correlated risk factors. The comparison of these models in Chapter 3 is based on the literatere on the verification of weather forecasts (Murphy and Winkler 1992, Murphy 1997). Some considerations on the quantitative analysis are presented in the fourth chapter. In the last chapter, we present empirical analysis of the DAX data using XploRe.

Suggested Citation

  • Härdle, Wolfgang Karl & Hlávka, Zdeněk & Stahl, Gerhard, 2006. "On the appropriateness of inappropriate VaR models," SFB 649 Discussion Papers 2006-003, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    • Handle: RePEc:zbw:sfb649:sfb649dp2006-003
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    References listed on IDEAS

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    1. Chris Chatfield, 1995. "Model Uncertainty, Data Mining and Statistical Inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 158(3), pages 419-444, May.
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    More about this item

    Keywords

    Value-at-Risk; market index model; principal components; random effects model; probability forecast.;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • G20 - Financial Economics - - Financial Institutions and Services - - - General

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