cecl methodologies: loss rate model and cohort analysis · aggregate vs cohort level analysis pd...
TRANSCRIPT
1
CECL Methodologies: Loss Rate Model and Cohort Analysis
Sohini Chowdhury PhD| Senior Economist & Director, Moody’s Analytics
August 2019
2
Agenda
1. What is Cohort Level Analysis?
2. What are Loss Rate Models?
3. Examples Showing ECL Calculation
What is Cohort-Level Analysis?
Different Types of Analysis
Historical time series of performance variables is available
The performance variable is linked to macro variables
Aggregate levelLoan age is included in the model
Adding loan age makes it a more granular approach relative to aggregate level model
Cohort levelAll available borrower attributes are included in the model in addition to loan age. The most granular approach
Loan Level
Aggregate vs Cohort Level AnalysisPD rate for first mortgages – Aggregate vs different vintages
0.00%
0.20%
0.40%
0.60%
0.80%
1.00%
1.20%
1.40%
1.60%
1.80%
2.00%
20
04
01
20
04
03
20
04
05
20
04
07
20
04
09
20
04
11
20
05
01
20
05
03
20
05
05
20
05
07
20
05
09
20
05
11
20
06
01
20
06
03
20
06
05
20
06
07
20
06
09
20
06
11
20
07
01
20
07
03
20
07
05
20
07
07
20
07
09
20
07
11
20
08
01
20
08
03
20
08
05
20
08
07
20
08
09
20
08
11
20
09
01
20
09
03
20
09
05
20
09
07
20
09
09
20
09
11
20
10
01
20
10
03
20
10
05
20
10
07
PD
Calendar time
Vintage 2004 Vintage 2005 Vintage 2006 Vintage 2007 Aggregate
Pros and Cons of Different Types of Analysis
Simple data cleaning
Easy to implement
Could be inaccurate if loan characteristics are changing thru time
Aggregate levelMore complex than aggregate level model
Vintage differences are captured
Still easy to implement
Cohort levelMore thorough data cleaning is needed
Very complex in terms of estimation
More accurate by including all loan attributes
More applicable to different types of portfolios
More difficult to implement
Loan Level
Pick Cohorts by Similar Risk Characteristics
Like:
» Product type
» Vintage
» Risk score
» Geography
» Collateral Type
» Materiality
» Term
» Historical or Expected loss Patterns
Too granular cohorts can result in too few loan counts and statistically insignificant results
What are Loss Rate Models?
Models which predict future loss rates based on historical loss data
Loss Rate Model Pros and Cons
PROS CONS
▪ Transparent calculation. Simpler data requirements.
▪ If sourced from a statistical model, it can capture the effect of key risk drivers such as credit rating, loan age, size, industry, and other loan characteristics
▪ Can incorporates the dependence on macroeconomic scenario
▪ Possible to calibrate losses to institution’s historical experience
▪ Does not incorporate the cash flow schedule
▪ Does not separate default risk from recovery risk
▪ Cannot incorporate prepayment as a separate input; must be factored into the loss rate or remaining life
Modeling Loss Rates
Common Drivers of Loss Rate Models
02
46
81
0
Delin
qu
en
cy r
ate
(%
)
0 20 40 60 80Age-on-books (months)
Life CycleThe age of loans
02
46
810
Del
inqu
ency
rat
e (%
)
2010m1 2012m1 2014m1 2016m1Date
EconomyConditions every month
02
46
810
Del
inqu
ency
rate
(%)
0 20 40 60 80Age-on-books (months)
Pool Quality Parallel shifts
02
46
810
Del
inqu
ency
rate
(%)
0 20 40 60 80Age-on-books (months)
Interactions Quality & Life-cycle
Incorporate R&S Future Economic ConditionsInclude both national and regional forecast economic factors:
» Economic Performance
GDP Growth, Disposable Income Growth
» Labor Markets
Unemployment, Job/Wage/Salary Growth
» Demographics
Population, Number of Households, Migrations etc.
» Real Estate Markets
Home Prices, Home Sales, Housing Starts, Permits
» Financial Markets
Federal Reserve Interest Rates, Equity Mark Indexes2
4
6
8
10
06 10 14 18 22 26 30 34 38 42 46
Unemployment rate, %
Baseline Consensus
S1 S2
S3 S4
S5 S6
S7 S8
Capture Local Economic Conditions
0
2
4
6
8
10
12
00 02 04 06 08 10 12 14 16 18
Unemployment rate, %
National State
Metro
2019Q3 F
2019Q3
Which metro area has the LOWEST unemployment rate?
Which metro area has the HIGHEST unemployment rate?
Using Loss Rates in CECL Calculation
Using Loss Rates to Calculate ECL
» Unpaid Principal Balance = $1,000,000
» Amortized Cost = $ 986,732
» Remaining maturity = 5 years
» Fixed Coupon Rate = 5%
» Effective Interest Rate = 5.5%
» Amortization type = Linear
» Payment Frequency = Annual
» Annual Prepayment Rate= 5%
Loss Rate Annualized Approach
Assumptions Formula Output
» Amortized Cost = $ 986,732» Remaining maturity = 5 years» Fixed Coupon Rate = 5%» Amortization type = Linear» Annualized Loss Rate = 0.25%
Allowance= EAD X
Annualized Loss Rate XRemaining Lifetime
Allowance = 986,732 x 0.0025 x 5= 12,334
Loss Rate Lifetime Approach
Assumptions Formula Output
» Amortized Cost = $986,732» Remaining maturity = 5 years» Amortization type = Linear» Lifetime Loss Rate = 4.2%
Allowance= EAD X Lifetime Loss Rate
Allowance = 986,732 x 0.042= 41,443