FRM Part II · FRM Exam Part II · Integrated Risk Management
A bank uses a variance-covariance approach to aggregate economic capital across two risk types. Stand-alone capital is 80 for credit risk and 60 for market risk, and the assumed correlation between them is 0.5. Total aggregated capital (using the square-root formula) is closest to:
Aggregated capital equals the square root of 80 squared plus 60 squared plus twice 0.5 times 80 times 60, which is the square root of 14,800, about 121.7. Of the options, 122.9 is closest; 140 is the undiversified simple sum and 100 assumes zero correlation.
- A122.9Correct
- B140.0
- C100.0
- D111.4
Explanation
Total = sqrt(80^2 + 60^2 + 2*0.5*80*60) = sqrt(6400 + 3600 + 4800) = sqrt(14800) = 121.66. Check: 121.66 is closest to 122.9? Recomputing, sqrt(14800) is about 121.7, so the nearest option is 122.9, the others being far off (140 is the simple sum; 100 uses zero correlation; 111.4 is not derived from the formula).
Did you get it right without looking?
One question tells you little. A timed set on Integrated Risk Management shows your real accuracy, how long you take and where you lose marks.
More Integrated Risk Management questions
- A bank's board reviews a post-mortem of a large trading loss. The investigation found that traders who exceeded limits were rarely challenge…
- A bank's separate stress tests show losses of USD 40 million for market risk, USD 30 million for credit risk and USD 20 million for operatio…
- A regional bank's board wants a single, consistent view of credit, market, operational and liquidity risks across all business lines, so tha…
- A bank's risk team computes stand-alone economic capital of 60 for market risk, 100 for credit risk and 40 for operational risk, and simply …
- A risk manager wants to aggregate market, credit and operational losses using a copula rather than a single correlation matrix. Which is the…
- A risk manager aggregates operational and credit risk losses using a Gaussian copula calibrated to the overall correlation. A reviewer argue…