Historical Simulation, Value-at-Risk, and expected shortfall

4 important questions on Historical Simulation, Value-at-Risk, and expected shortfall

What is does the HS TECHNIQUE assumes.

That the distribution of tomorrow's portfolio returns, Rpf is well approximated by the empirical distribution of the past m observations

What is the problem of HS approach

Sometimes when it supposed to give a 1% var it gives a 16% var. An sometise it gives a 0% var. The HS VAR IS MUCH TO LOW WHEN VOLATITLITY IS HIGH AND THE HS VAR IS TOO HIGH WHEN VOLATILITY. IS LOW

Why is it dangerous to rely on large p var

Relying on VAr with large p is dangerous because extrem risk are hidden!
  • Higher grades + faster learning
  • Never study anything twice
  • 100% sure, 100% understanding
Discover Study Smart

Why is ES better than Var

Es is subadditive for two returns. This property is not alwys satisfied by VaR. In basel III we use ES

The question on the page originate from the summary of the following study material:

  • A unique study and practice tool
  • Never study anything twice again
  • Get the grades you hope for
  • 100% sure, 100% understanding
Remember faster, study better. Scientifically proven.
Trustpilot Logo