European System of Financial Supervision and Fat tail: Difference between pages

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''European Union (EU).''
'Fat tails' describes the greater likelihood of extreme market conditions, than predicted by conventional models of probability.


(ESFS).
This pattern is also known as 'leptokurtosis'.


The ESFS comprises:
*The three European Supervisory Authorities (ESAs), the EBA, ESMA and EIOPA;
*The Joint Committee of the ESAs;
*The European Systemic Risk Board (ESRB);
*The European Central Bank; and
*The supervisory authorities of each member state.


 
This means that the likelihood and size of extreme negative events is systematically underestimated by conventional statisitcal models.
The purpose of the ESFS is to support the efficient functioning of the European internal market by harmonising regulation and supervision in each member state.




== See also ==
== See also ==
* [[Bank of England]]
* [[CertFMM]]
* [[Bank supervision]]
* [[Frequency distribution]]
* [[Basel III]]
* [[Leptokurtic frequency distribution]]
* [[European Banking Authority]] (EBA)
* [[Leptokurtosis]]
* [[European Central Bank]] (ECB)
* [[Normal frequency distribution]]
* [[European Securities and Markets Authority]] (ESMA)
* [[Standard deviation]]
* [[European Supervisory Authority]] (ESA)
* [[Tail event]]
* [[European Insurance and Occupational Pensions Authority]]  (EIOPA)
* [[Tail risk]]
* [[European Systemic Risk Board]]
* [[European Union]]
* [[Euro zone]]
* [[Federal Reserve System]]  (FRS)
* [[Financial Services Authority]]  (FSA)
* [[Financial Conduct Authority]]  (FCA)
* [[Home supervisor]]
* [[Host supervisor]]
* [[Internal Market]]
* [[Prudential Regulation Authority]]  (PRA)
* [[Supervisory college]]
 
[[Category:Accounting,_tax_and_regulation]]
[[Category:The_business_context]]

Revision as of 16:52, 12 August 2016

'Fat tails' describes the greater likelihood of extreme market conditions, than predicted by conventional models of probability.

This pattern is also known as 'leptokurtosis'.


This means that the likelihood and size of extreme negative events is systematically underestimated by conventional statisitcal models.


See also

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