Worked case · Failure and stress · 12 figures

Movement between delinquency states

Watch movement between states

Figure 01 / 12

Separate probability, severity, and exposure

Separate probability, severity, and exposure — Movement between delinquency states. One-year synthetic credit case. Exact values are in the figure data below.
One-year synthetic credit case

The simplified one-year expected loss is PD × LGD × EAD = $210,759.12. PD is 16.56%, LGD is 71.50%, and EAD is $1,780,000. This is a teaching expected-value calculation, not an accounting allowance method or a capital standard.

Figure data and text version
InputValueUnit
PD16.56Percent over one year
LGD71.5Percent of exposure lost conditional on default
EAD1,780,000USD at default
Expected loss210,759.12USD over the stated horizon

An account’s current state and its path through prior states both matter. Roll rates require a defined starting population and transition window.

Refinanced accounts disappear from the delinquency denominator.

All amounts, rates, capacity limits, and outcomes in this case are synthetic. The three conditions are separate assumptions for comparison. A better result in the response condition is not measured proof that the proposed control causes that improvement. The figures expose the calculation and its limits; a real deployment needs its own evidence.

Read the result

The case has $1,780,000 of exposure. Its stated one-year PD and LGD imply $210,759.12 of expected loss, while the cover analysis leaves $1,331,500.00 of stress exposure. Monthly cash coverage is 0.66×. These are separate measures: one describes an average under probability assumptions, one describes available cover, and one describes a period’s funding capacity.

Model inputs and calculated values

Inputs below are the case-specific values. Each figure states the condition-specific assumptions and units used in its calculation. Calculated values are rounded for display.

InputValue
exposure1,780,000
pd0.072
collateral470,000
reserve190,000
cash92,000
debtService86,000
Calculated valueResult
ead1,780,000
pd0.1656
lgd0.715
expectedLoss210,759.12
eligibleCover258,500
reserve190,000
uncovered1,331,500
cash57,040
debt86,000
dscr0.6633
Figure 02 / 12

Probability and severity move the result together

Probability and severity move the result together — Movement between delinquency states. USD expected loss; fixed exposure. Exact values are in the figure data below.
USD expected loss; fixed exposure

Each cell is the same exposure multiplied by the row default probability and the column loss severity. The grid makes joint stress visible. A downturn can affect both factors; the calculation does not assume that the two causes are independent.

Figure data and text version
PDLGD 25%LGD 50%LGD 75%
2%8,90017,80026,700
5%22,25044,50066,750
10%44,50089,000133,500
20%89,000178,000267,000
Figure 03 / 12

Recorded collateral and eligible cover

Recorded collateral and eligible cover — Movement between delinquency states. USD; some measures overlap. Exact values are in the figure data below.
USD; some measures overlap

The collateral record is $470,000, but a 45% illustrative haircut leaves $258,500.00 eligible in this scenario. Reserve cover adds $190,000. The resulting uncovered exposure is $1,331,500.00. Eligibility also needs enforceability and operational access; this arithmetic does not establish either.

Figure data and text version
MeasureUSD
Recorded collateral470,000
Eligible collateral258,500
Recorded reserve190,000
Combined usable cover448,500
Uncovered exposure1,331,500
Figure 04 / 12

Cash available for the period’s debt service

Cash available for the period’s debt service — Movement between delinquency states. USD for one month. Exact values are in the figure data below.
USD for one month

Defined cash available is $57,040.00 against $86,000.00 of debt service, for a 0.66× ratio. The ratio uses one period and one defined cash measure. It does not establish affordability, suitability, or a required underwriting threshold.

Figure data and text version
ComponentUSDMeaning
Cash available57,040After the expenses included in this illustration
Debt service86,000Principal and interest due in the same period
Cash after debt service-28,960Negative means a modeled shortfall
Figure 05 / 12

A constant-hazard illustration

A constant-hazard illustration — Movement between delinquency states. Percent of an initial synthetic cohort. Exact values are in the figure data below.
Percent of an initial synthetic cohort

The curve converts the stated one-year PD of 16.56% to a constant monthly hazard using h = 1 − (1 − PD)^(1/12). Survival after 12 months is therefore 1 − PD. Constant hazard is an assumption; seasonality and changing exposure are omitted. Horizontal positions are the labeled observations or scenarios; equal spacing does not imply equal numerical increments.

Figure data and text version
Months since startSurvival %
M0100
M297.03
M494.14
M691.35
M888.63
M1086
M1283.44
Figure 06 / 12

Cumulative expected loss at comparable age

Cumulative expected loss at comparable age — Movement between delinquency states. Cumulative expected USD; fixed exposure. Exact values are in the figure data below.
Cumulative expected USD; fixed exposure

This curve multiplies cumulative modeled default probability by a fixed EAD and LGD. It is useful for separating observation age from the chosen assumptions. It omits amortization, recoveries over time, prepayment, and changing utilization. Horizontal positions are the labeled observations or scenarios; equal spacing does not imply equal numerical increments.

Figure data and text version
AgeExpected USD
M00
M237,828.52
M474,532.66
M6110,145.85
M8144,700.5
M10178,228.08
M12210,759.12
Figure 07 / 12

Expected loss sensitivity to PD

Expected loss sensitivity to PD — Movement between delinquency states. USD; LGD and EAD held fixed. Exact values are in the figure data below.
USD; LGD and EAD held fixed

Exposure stays at $1,780,000 and LGD stays at 71.50% while PD changes. The linear relationship follows the simplified expected-loss formula. It is not evidence that real-world losses respond linearly to economic stress. Horizontal positions are the labeled observations or scenarios; equal spacing does not imply equal numerical increments.

Figure data and text version
One-year PDExpected USD
1%12,727
3%38,181
5%63,635
8%101,816
12%152,724
20%254,540
Figure 08 / 12

A shared dependency can dominate exposure

A shared dependency can dominate exposure — Movement between delinquency states. USD; buckets sum to total exposure. Exact values are in the figure data below.
USD; buckets sum to total exposure

The four amounts are disjoint portions of this case’s exposure. The largest bucket represents one shared supplier, funding source, or other specified dependency. Counting customers alone would not reveal this common loss driver.

Figure data and text version
Dependency bucketExposure USD
servicing transition policy — primary712,000
Independent group B534,000
Independent group C356,000
Independent group D178,000
Figure 09 / 12

A weak month can disappear inside an average

A weak month can disappear inside an average — Movement between delinquency states. USD per month. Exact values are in the figure data below.
USD per month

The six-month path applies explicit seasonal factors to the defined monthly cash amount and compares it with fixed debt service. These are constructed cash assumptions, not a forecast. A negative month needs a funding or terms response even when the average ratio looks comfortable. Horizontal positions are the labeled observations or scenarios; equal spacing does not imply equal numerical increments.

Figure data and text version
MonthCash availableDebt service
M139,92886,000
M248,48486,000
M362,74486,000
M451,33686,000
M574,15286,000
M665,59686,000
Figure 10 / 12

Terms belong in the decision record

Terms belong in the decision record — Movement between delinquency states. Synthetic underwriting record. Exact values are in the figure data below.
Synthetic underwriting record

This record concerns watch movement between states. A binary approval omits the amount, observation horizon, cover assumptions, and review trigger. Retaining those terms makes the decision reproducible and identifies when changed facts require another assessment.

Figure data and text version
FieldIllustrative value
entityMovement between delinquency states
exposure_usd1,780,000
horizonOne year for PD; one month for cash coverage
pd_percent16.56
lgd_percent71.5
review_triggerRefinanced accounts disappear from the delinquency denominator.
Figure 11 / 12

One cause can affect several loss components

One cause can affect several loss components — Movement between delinquency states. Scenario logic. Exact values are in the figure data below.
Scenario logic

The stress path connects servicing transition policy to repayment cash, default probability, recovery, and funding needs. Arrows state the scenario’s assumed causal chain. They are hypotheses to test with evidence, not proof that every affected customer will default.

Figure data and text version
StageMechanism
Dependency shockRefinanced accounts disappear from the delinquency denominator.
Cash pressureReceipts fall or essential payments move earlier
Default and severityRepayment probability and recovery can both worsen
ResponseReassess terms, usable cover, and exposure within the approved process
Figure 12 / 12

Expected loss, uncovered exposure, and cash gap

Expected loss, uncovered exposure, and cash gap — Movement between delinquency states. USD; distinct horizons and meanings. Exact values are in the figure data below.
USD; distinct horizons and meanings

Expected loss ($210,759.12), uncovered exposure ($1,331,500.00), and monthly cash gap ($28,960.00) answer different questions. The bars are deliberately separated measures and must not be added. A low expected value can coexist with a large stress exposure.

Figure data and text version
MeasureUSD
Expected one-year loss210,759.12
Uncovered stress exposure1,331,500
Monthly cash gap28,960

Connect the result to the system

Preserve transition lineage and distinguish cure, refinancing, default, and closure.

Check the population, evidence, permitted action, and actual effect together. A balanced calculation can still use the wrong population; a successful response can still leave an unknown financial outcome. The case’s numerical result applies only to its stated assumptions.

Sources and further reading

The chapter sources support the concepts and scope. They do not prescribe the synthetic model rates.

  1. OCC Comptroller’s Handbook: rating credit risk
  2. Regulation B, 12 CFR 1002.9: notifications