Blog Image

CMBS SASB Dirty Dozen Update- Replicating Ratings Approach

0:00
Category : research
Published Date : 12/16/2024
Ratings Replication – Using the RA’s own methodology indicates severe downgrade risk remains

As noted in my original Dirty Dozen  article, I developed a simplified ratings approach based on the existing rating methodology. Using Moody’s LTV/Ratings tables (DBRS are similar), I calculated a tranche specific LTV by dividing the senior certificate balance by the Net Realizable Value (NRV). The NRV was calculated using 90% of appraised value less 10% foreclosure expenses and advances. I used advances to date plus an assumed additional 10 months of further advances. 10 months is probably optimistic given that many of these loans can be stuck in non-performing status for years. After calculating the LTV, I used a lookup table based on Moody’s LTV/Ratings.


The results can be seen below in the smart table (a new feature here at TPE). This table can be sorted, searched, filtered and heat mapped for certain columns. In addition to TPE Ratings, I include columns for actual ratings and ratings actions since I first started publishing on the Dirty Dozen in May/June. As the table shows, over half the deals (Dirty Dozen plus a few more) have since been downgraded and most by multiple notches thereby jumping entire rating categories. As the table shows most rating actions were 4 or more notches thereby jumping entire rating categories (eg AAA to Single-A) 


I used a combination of sources for the appraisal. Generally I used the ratings agency valuations (sometimes the average). For a couple of the deals I used servicer reported appraisals, or external appraisals as reported in news sources. For other deals I adjusted for split loans and similar. 


This article should be viewed as a counter narrative to the rating agency hegemonic ownership of ratings.  I believe more investors and market actors should replicate and have an independent view of ratings. I built this model in the Python programming language and may put it on our website.

The model is an oversimplification and given some complexities in these deals (eg split loans) I likely got something wrong. If you see anything amiss let me know.


Finally, I don't believe a single asset conforms to the core idea of a securitization which on its face requires some degree of diversification (particularly when the highest ratings are multiple categories above the underlying asset). As you will see in my table, I have a number of investment grade ratings. I personally don't agree that a defaulted asset should support an investment grade rating (though in some cases a BBB or Single A may be warranted if the the collateral valuation and resolution is sufficiently clear to assure the notes so rated would be paid off in full with investment grade certainty.)

CMBS SASB Dirty Dozen

BX Trust 2017-CQHP
158,381,503
170%
CCC-
Baa1/AAA
Aa2/AAA
Moody's/DBRS
5.00
0.00
2.50
JPMCC 2018-PHH
194,674,556
165%
CCC-
Ba1
A1
Moody's
6.00
#N/A
6.00
PKHL 2021-MF
171,000,000
65%
A+
AAA/AAA
AAA/AAA
S&P/KBRA
0.00
0.00
0.00
CSMC 2021-ADV
223,000,000
95%
BB
AAA
AAA
KBRA
0.00
#N/A
0.00
NCMS 2019-NEMA
144,585,938
81%
BBB-
Aa2/A
Aa2/A
Moody's/DBRS
0.00
0.00
0.00
HILT 2016-SFP
533,631,148
82%
BBB-
Baa1/AAA
Aa2/AAA
Moody's/DBRS
5.00
0.00
2.50
BFLD Trust 2020-EYP
210,000,000
81%
BBB
BB-/AA-
A/AAA
S&P/KBRA
7.00
3.00
5.00
BBCMS 2018-CBM
331,000,000
67%
A
AAA/AAA
Aaa/AAA
Moody's/DBRS
0.00
0.00
0.00
MSC 2018-BOP
112,000,000
83%
BBB-
A-/AAA
AA /AAA
S&P/DBRS
4.00
0.00
2.00
BBCMS 2019-BWAY
136,000,000
227%
CCC-
AA
AA
Fitch
0.00
#N/A
0.00
GSCG Trust 2019-600C
124,000,000
116%
B-
BB+/B
BB+/AAA
S&P/DBRS
0.00
14.00
7.00
BSST 2021-1818
155,167,000
76%
BBB+
AAA/AAA
AAA/AAA
S&P/DBRS
0.00
0.00
0.00
GSMS 2021-ROSS
525,700,000
66%
A
AA+/AAA
AA+/AAA
S&P/DBRS
0.00
0.00
0.00
JPMCC 2018-MINN
120,000,000
90%
BB
Baa1
Aa2
Moody's
5.00
#N/A
5.00
MSC 2019-PLND
173,000,000
85%
BBB-
Baa1/BB
Aa2/AAA
Moody's/DBRS
5.00
11.00
8.00

Stay in touch

Keep informed with the most important events in market and advanced calculators.

*Don't worry, we don’t spam.
CMBS SASB Dirty Dozen Update- Replicating Ratings Approach