Difference between revisions of "Goodhart’s Law"

From Open Risk Manual
 
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== Definition ==
 
== Definition ==
'''Goodhart’s Law''' states that any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes
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'''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''.
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== Implications ==
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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 ==
 
== Examples ==
 
* The case against [[Leverage Ratio | 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<ref>The dog and the frisbee, Andrew G Haldane, Vasileios Madouros, Economist, Bank of England, 2012</ref>
 
* The case against [[Leverage Ratio | 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<ref>The dog and the frisbee, Andrew G Haldane, Vasileios Madouros, Economist, Bank of England, 2012</ref>
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== See Also ==
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* [[Risk Management One-Liners]]
  
 
== References ==
 
== References ==

Revision as of 10:46, 4 March 2024

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