LUMINNOVATE

Insights

How many loans will default in the next twelve months?

8.1%Real lending data from an open research dataset

The forecast that knew the policy changed

mean error in twelve month default counts, against 19.2% for last year's rate carried forward

What was observed
Twelve month default counts forecast at six past dates and checked against what happened, across a change in the lender's credit policy.
What a generic approach says
Carry last year's default rate forward: 19.2% out on average. One curve for the whole book did worse, at 66.9%.
What the engine read
Curves by term and grade, with their shape from all history and their level from the book written since the policy change, were 8.1% out. Curves from all history were 19.7% out and curves from the last 24 months 22.3%; the method was chosen after those failed on the same dates.
What it meant for the decision
A change of credit policy has to be declared to the forecast. No method's own interval held, so the planning range comes from past errors: about 16% either way, from only six forecasts.

Mean error in twelve month default counts (%)

One curve for the whole book66.9%Curves from all history19.7%Curves from the last 24 months22.3%Last year's rate carried forward19.2%Shape from history, level from the new book8.1%
Real lending data from an open research dataset

Figures are reproduced from Luminnovate's research records. Data sources are available on request; methods are proprietary.

Solution
Portfolio
Industries
Banks and lenders

Every decision that moves money should be able to show its working.

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