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Antwort: [R-sig-finance] VaR

I don't know what you think about the topic but I feel that this matter of subadditivity is strongly overemphasized. Many authors argue in their papers that they will use the CVaR instead of the VaR because of the subbaditivity property (which goes back to Artzner, 1999). From my point of view the matter of getting the return distribution right, especially its variation over time, as well as the dependence structure between asset returns if the distribution is not elliptic is far more important for modeling the VaR adequately.

-----Urspr?ngliche Nachricht-----
Von: r-sig-finance-bounces at stat.math.ethz.ch [mailto:r-sig-finance-bounces at stat.math.ethz.ch] Im Auftrag von Micha Keijzers
Gesendet: Dienstag, 3. M?rz 2009 13:22
An: Matthias.Koberstein at hsbctrinkaus.de
Cc: r-sig-finance at stat.math.ethz.ch; Bogaso
Betreff: Re: [R-SIG-Finance] Antwort: [R-sig-finance] VaR

Matthias and others,

Indeed, correlation possibly has something to do with it. But it's not the
whole story. VaR is a quantile of a distribution and you can draw up
examples that go wrong specifically there, regardless of correlation. I
constructed or adapted one, which must have been about three years ago I
think, based on an example which came from IIRC F?llmer's book "Stochastic
Finance" or "Quantitative Risk Management" by McNeil, Frey and Embrechts. I
would have to do some serious digging to be sure... The example was based on
a very simple example of defaults in a loan portfolio. Explicitly showing
the quantiles in the loss distribution you could show that subadditivity did
not hold when VaR is used as a risk measure.

Kind regards,
Micha Keijzers

2009/3/3 <Matthias.Koberstein at hsbctrinkaus.de>
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