Finance Train
Menu

Ebooks / Identifying Risks / Chapter 5 of 8

Defaults and Ratings Changes

⚠️Risk ManagementOctober 14, 2010 · 1 min read

The transition matrix below shows the probability of default and credit rating migrations for each credit rating.

Transition matrices can be calculated by observing the historical pattern of rating change and default. They have been published by S&P and Moody’s rating agencies.

To read the table, find today’s rating on the left and follow along that row to the column that represents the rating at the risk horizon. For instance, the leftmost bottom figure of 0.17% says that there is a 0.17% chance that a

CCC rated credit will migrate to AAA at the end of the year. Observe how the probability of AAA or AA credits defaulting over 1 year is so miniscule, it rounds to 0.

Check your understanding

5 questions

    1. In a credit rating transition matrix, what does the value in row "BBB" and column "Default" represent?
    1. Which of the following statements about AAA-rated credits in a 1-year transition matrix is most accurate?
    1. A transition matrix entry shows that a CCC-rated credit has a 0.17% probability of being rated AAA at the end of the year. What does this tell us about credit migration?
    1. Transition matrices published by S&P and Moody's are primarily derived from which source?
    1. If the rows of a credit rating transition matrix must sum to 100%, and a BB-rated issuer has the following 1-year probabilities: AAA=0.02%, AA=0.08%, A=0.54%, BBB=5.72%, BB=76.65%, B=8.40%, CCC=1.10%, what is the probability of default or withdrawal?
5 left