FRM Part I · FRM Exam Part I · External and Internal Credit Ratings
A credit analyst uses a one-year rating transition matrix in which a BBB-rated issuer has a 2.0% probability of moving to default, a 90.0% probability of staying BBB, and the remaining probability split among other non-default ratings. Assuming a time-homogeneous Markov process, which statement about the BBB issuer's two-year default probability is correct?
The two-year default probability exceeds 2.0%. Default is absorbing, so it combines year-one default with migration to another non-default rating followed by default in year two. Simply doubling the one-year figure is not exact, and the probability cannot stay at or fall below 2.0%.
- AIt equals exactly 4.0%, because the one-year probability is simply doubled
- BIt is greater than 2.0%, because default is an absorbing state and the issuer can also default after migrating to another rating in year oneCorrect
- CIt equals 2.0%, because the matrix only describes the first year
- DIt is less than 2.0%, because surviving the first year lowers the default risk
Explanation
The two-year cumulative default probability is the BBB-to-default entry of the squared matrix. It includes defaulting in year one plus migrating to a non-default rating and then defaulting in year two. Because default is absorbing, the figure exceeds 2.0%. Simple doubling ignores the survival requirement and the fact that migration changes the year-two default probability, so it is not exact.
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