Please use this identifier to cite or link to this item: http://hdl.handle.net/10419/25086
Authors: 
Härdle, Wolfgang Karl
Hlávka, Zdeněk
Stahl, Gerhard
Year of Publication: 
2006
Series/Report no.: 
SFB 649 discussion paper 2006,003
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.
Subjects: 
Value-at-Risk
market index model
principal components
random effects model
probability forecast.
JEL: 
C51
C52
G20
Document Type: 
Working Paper

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