[my xls is here [ Ссылка ]] The problem with the typical R-squared (aka, coefficient of variation) is that it can be artificially increased by simply adding more independent variables (aka, regressors). A higher R^2 does not necessarily imply that the model is a better fit. The "adjusted R-squared" addresses this problem: the adjusted R^2 will always be less than the unadjusted R^2, but it will not necessarily increase merely because an independent variable is added to the model. Discuss this video here in our forum: [ Ссылка ]
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Risk Foundations (FRM Topic 1)
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Financial Markets and Products: Intro to Derivatives (FRM Topic 3, Hull Ch 1-7)
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Market Risk (FRM Topic 5)
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