Name Concentration Measurement

From Open Risk Manual
Revision as of 12:17, 19 May 2017 by Wiki admin (talk | contribs)
(diff) ← Older revision | Latest revision (diff) | Newer revision → (diff)
The printable version is no longer supported and may have rendering errors. Please update your browser bookmarks and please use the default browser print function instead.

Definition

The quantitative assessment of the degree to which a portfolio may be excessively concentrated in a particular Exposure / Counterparty

Methodologies

For any quantification of risks, it is convenient to have quantitative benchmarks, for example to measure the distance from a neutral reference state of no concentration or full diversification. Some concentration/diversification indicators can be simply defined at portfolio level, providing synthetic measures of credit risk name concentration.

Concentration ratio

  • The simplest method to quantify concentration is computing the share of exposure (EAD) held by the k largest customers in the portfolio relative to total exposure.
  • Weaknesses of the index are that the choice of k is arbitrary and the index does not use all the information available
  • In place of EAD, exposures can be measured as product of EAD*LGD, thus considering the expected severity of losses which can actually differentiate the effective contribution to credit risk.

Gini Index and the Lorenz Curve

  • The index G varies between 0 (perfect equality of exposures) to 1 for perfect inequality (limit in which one obligor accounts for the whole exposure and the others tend to zero).
  • The index is sensitive to inhomogeneity of exposures but not to exposure number.

Herfindhahl-Hirschman Index

  • The index reflects both exposures heterogeneity and their number (e.g. in tends to zero with n for homogeneous pool).