Goodhart’s Law

From Open Risk Manual
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Definition

Goodhart’s Law states that any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes. Alternative expression: When a measure becomes a target, it ceases to be a good measure.

Implications

The fitness of risk models for control purposes may be compromised, i.e., no risk model can take account ex-ante of the ways in which it might be gamed by involved parties.

Examples

  • The case against leverage ratios is that they may encourage banks to increase their risk per unit of assets, reducing their usefulness as an indicator of bank failure[1]

See Also

References

  1. The dog and the frisbee, Andrew G Haldane, Vasileios Madouros, Economist, Bank of England, 2012