ES (Model Variation) avg

The measure takes the average of the past ES (Model Variation) values.

This measure helps monitor the average ratio of the ES (Liquidity Adj.) measures for the reduced and full sets of risk factors (over the current data set). As per MAR33.5 (2) (b), this ratio should average over 75% for the last 12 weeks, so this measure should be at least 75%.

The ES (Model Variation) measure is the ratio of the ES (Liquidity Adj.) measures for the reduced and full sets of risk factors (over the current data set). i.e. ES_{R,C} / ES_{F,C}. As per MAR33.5 (2) (b), this ratio should average over 75% for the last 12 weeks.

By default the average is taken over the last 60 days. You can change the Lookback period - 60 - by using the context value CA-Lookback.

See also

• ES (Basic)
• ES (Basic).D2D
• ES (Capital Constrained)
• ES (Capital Unconstrained)
• ES (Capital)
• ES (Current Ratio)
• ES (Liquidity Adj.)
• ES (Model Variation)
• ES (Model Variation) Lookback
• LH
• PnL Expand
• Squared ES (Liquidity Adj.)
• Squared LHScaleFactor