Anwendung der Extremwerttheorie zur Quantifizierung von Marktpreisrisiken – Test der Relevanz anhand vergangener Extrembelastungen von DAX und MSCI Europe
The Extreme Value Theory is an approach designed with the objective to quantify risks which occur with a very low probability. The empirical application of the Extreme Value Theory in terms of the Peaks Over Threshold (POT)-Method to the index declines of the DAX and the MSCI Europe on 11.9.01, 21.1.08 and 16.10.08 in this paper shows that the quality of risk assessment highly depends on the underlying data source. As the analysis shows the resulting risk level during the considered days is clearly linked to the applied threshold. Nevertheless it is shown that the POT-Method beats the assumption of normal distribution and GARCH models with normally distributed and t-distributed innovations – especially after periods of high market volatility – concerning the goodness of risk quantification for the examined events.
To our knowledge, this item is not available for
download. To find whether it is available, there are three
1. Check below under "Related research" whether another version of this item is available online.
2. Check on the provider's web page whether it is in fact available.
3. Perform a search for a similarly titled item that would be available.
When requesting a correction, please mention this item's handle: RePEc:kuk:journl:v:2:y:2011:i:2:p:243-278. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Credit and Capital Markets)
If references are entirely missing, you can add them using this form.