Why Coherent Risk Measures?

Why Coherent Risk Measures?

A risk measure is coherent if it satisfies certain simple, mathematical properties. One of these properties, which some popular measures do not possess is sub-additivity, that adding together two risky portfolios cannot increase the measure of risk.

Which risk measures are coherent?

A functional → is said to be coherent risk measure for if it satisfies the following properties:
  • Normalized.
  • Monotonicity.
  • Sub-additivity.
  • Positive homogeneity.
  • Translation invariance.
  • Convex risk measures.
  • Value at risk.
  • Average value at risk.

Which four conditions should a risk measure satisfy to be seen as a coherent risk measure?

A risk measure satisfying the four axioms of translation invariance, subadditivity, positive homogeneity, and monotonicity is called coherent.

Marcus Vance
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Marcus Vance

Marcus Vance is a cybersecurity auditor and technology writer dedicated to educating the public about online safety, data privacy regulations, enterprise security, and emerging cyber threats.