optionshedge
New Member
Hi David,
In one of your posts, you explain very nicely why VaR is NOT sub-additive.
http://www.bionicturtle.com/learn/article/illustration_of_vars_failure_to_meet_coherence/
Although I understand why VaR is not sub-additive for non-elliptical loss distributions, I don't quite understand why Expected Shortfall (ES) / Conditional VaR is sub-additive in all cases, even when the loss distribution is highly skewed.
Can you explain why ES is sub-additive? Can you show an spreadshet example where ES is sub-additive when VaR is NOT?
In one of your posts, you explain very nicely why VaR is NOT sub-additive.
http://www.bionicturtle.com/learn/article/illustration_of_vars_failure_to_meet_coherence/
Although I understand why VaR is not sub-additive for non-elliptical loss distributions, I don't quite understand why Expected Shortfall (ES) / Conditional VaR is sub-additive in all cases, even when the loss distribution is highly skewed.
Can you explain why ES is sub-additive? Can you show an spreadshet example where ES is sub-additive when VaR is NOT?