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General Guidance for Developing Differential Premium Systems

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October 31, 2011<br />

and its ability to withstand stress. The per<strong>for</strong>mance score is calculated by<br />

combining a weighted average of CAMELS component ratings and certain<br />

financial measures into a single per<strong>for</strong>mance score between 0 and 100.<br />

The loss severity factor measures the relative magnitude of potential losses<br />

to the FDIC in the event of a large institution’s failure. It ranges between 0.8<br />

and 1.2.<br />

The per<strong>for</strong>mance score and the loss severity factor are multiplied to produce<br />

a total score, which the FDIC has authority to adjust to a limited extent. The<br />

total score is converted to an initial base assessment rate.<br />

The table below shows scorecard measures and components, and their<br />

relative contribution to the per<strong>for</strong>mance score or loss severity score (which is<br />

converted from a scale of 0 to 100 into the loss severity factor scale of 0.8 to<br />

1.2). Scorecard measures (other than the weighted average CAMELS rating)<br />

are converted to scores between 0 and 100 based on minimum and<br />

maximum cutoff values <strong>for</strong> each measure. 30 A score of 100 reflects the<br />

highest risk and a score of 0 reflects the lowest risk. A value reflecting lower<br />

risk than the cutoff value receives a score of 0. A value reflecting higher risk<br />

than the cutoff value receives a score of 100. A risk measure value between<br />

the minimum and maximum cutoff values converts linearly to a score<br />

between 0 and 100. The weighted average CAMELS rating is converted to a<br />

score between 25 and 100 where 100 reflects the highest risk and 25 reflects<br />

the lowest risk.<br />

30 Most of the minimum and maximum cutoff values are equal to the 10 th and 90 th percentile values <strong>for</strong><br />

each measure, which are derived using data on large institutions over a ten-year period beginning with<br />

the first quarter of 2000 through the fourth quarter of 2009—a period that includes both good and bad<br />

economic times.<br />

77

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