Capital adequacy and R-Squared: Difference between pages
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imported>Doug Williamson (Cross refer to PLAC and GCLAC & categorise page.) |
imported>Doug Williamson (Create page. Sources: The Treasurer Feb 2018, p25 & KPMG-FINCAD webpage https://www.cmegroup.com/education/files/basics-of-hedge-effectiveness.pdf) |
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''Regression analysis and hedge effectiveness''. | |||
R-squared is a measure of the goodness of fit between two variables. | |||
In hedge effectiveness testing, it measures how closely the value of the hedging instrument tracks the value of the underlying exposure being hedged. | |||
An R-squared parameter equal to or greater than 0.80 is generally considered effective. | |||
Other metrics for hedge effectiveness include Slope. | |||
== See also == | == See also == | ||
* [[ | * [[Basis risk]] | ||
* [[Efficiency]] | |||
* [[Hedge]] | |||
* [[ | * [[Hedge accounting]] | ||
* [[ | * [[Hedge effectiveness]] | ||
* [[ | * [[Regression analysis]] | ||
* [[ | * [[Slope]] | ||
* [[ | |||
* [[ | |||
Revision as of 18:32, 3 February 2018
Regression analysis and hedge effectiveness.
R-squared is a measure of the goodness of fit between two variables.
In hedge effectiveness testing, it measures how closely the value of the hedging instrument tracks the value of the underlying exposure being hedged.
An R-squared parameter equal to or greater than 0.80 is generally considered effective.
Other metrics for hedge effectiveness include Slope.