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  1. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    Thanks for quick reply. Much appreciated.
  2. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    There is hardly any overlap between FRM L2 and CFA L1. Hence, someone who got FRM L2 this time can as easily get CFA L1 studying 1-2 months as someone who didn't get FRM L2 this time. In other words: P(A|B)=P(A).
  3. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    The only safe way is BT questions/summaries and official GARP readings. Good luck and fingers crossed.
  4. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    Yes, it's possible, e.g. if the cutoff is at 44 out of 80. If the cutoff is at 46 out of 80 it will be difficult.
  5. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    I think key here is whether to use conditional or unconditional PD for year 2. I'm not sure though which approach is more appropriate.
  6. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    Makes a lot of sense to me.
  7. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    As MVAR = VAR Portfolio/Total Assets Portfolio * Beta and VAR P/Total Assets is constant for all three portfolios, I think Beta equals MVAR, so expected return over Beta all day long in my humble view.
  8. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    I agree 100% with that explanation and so does GARPs official reading (Market Risk, p244-245)
  9. R

    Exam Feedback May 2017 Part 2 Exam Feedback

    Generalized Pareto is used to model severity (GARP Readings, Operational Risk, p108).
  10. R

    Loss component under SMA

    Hi @David Harper CFA FRM, I'm just reading through the Standardized Measurement Approach SMA. I was wondering how exactly the "loss component" part will be calculated in practice. Let's assume we are in Bucket 3 and we have 10 Losses of EUR 150mm on average every year. The loss component is...
  11. R

    De Laurentis, Validating Rating Models

    Hi @David Harper CFA FRM, thanks a lot for clarifying this. I get it know, key is how the H0 Hypothesis is stated and Type 1 Error is rejecting a good Null while Type 2 is mistakenly accept a bad Null. Thanks a lot!
  12. R

    De Laurentis, Validating Rating Models

    Hi @David Harper CFA FRM, I was just reading through the "Validating Rating Models" Chapter and I'm left slightly confused with the definition De Laurentis uses for Type 1 and Type 2 errors with regard to the graph on p16 on the slides or p160 figure 10-5 in the original readings. What De...
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