Deviation risk measure

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In financial mathematics, a deviation risk measure is a function to quantify financial risk (and not necessarily downside risk) in a different method than a general risk measure. Deviation risk measures generalize the concept of standard deviation.

Contents

Mathematical definition

A function , where is the L2 space of random variables (random portfolio returns), is a deviation risk measure if

  1. Shift-invariant: for any
  2. Normalization:
  3. Positively homogeneous: for any and
  4. Sublinearity: for any
  5. Positivity: for all nonconstant X, and for any constant X. [1] [2]

Relation to risk measure

There is a one-to-one relationship between a deviation risk measure D and an expectation-bounded risk measure R where for any

R is expectation bounded if for any nonconstant X and for any constant X.

If for every X (where is the essential infimum), then there is a relationship between D and a coherent risk measure. [1]

Examples

The most well-known examples of risk deviation measures are: [1]

See also

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References

  1. 1 2 3 Rockafellar, Tyrrell; Uryasev, Stanislav; Zabarankin, Michael (2002). "Deviation Measures in Risk Analysis and Optimization". SSRN   365640.{{cite journal}}: Cite journal requires |journal= (help)
  2. Cheng, Siwei; Liu, Yanhui; Wang, Shouyang (2004). "Progress in Risk Measurement". Advanced Modelling and Optimization. 6 (1).