LUMINNOVATE

Insights

Should a lender raise or cut prices on its riskiest borrowers?

15.5% to 21.4%Real lending data from an open research dataset

The number that decides pricing

of attainable profit given up, in simulation, by pricing on the wrong belief about whether price causes default

What was observed
A lender's prices, defaults and repayments, segment by segment, with take up and funding costs assumed.
What a generic approach says
Optimise prices on the book's history and take the most profitable.
What the engine read
The answer turns on one number history cannot settle: whether a higher price itself raises default. If it does, the best prices cut the riskiest grades' rates and raise the safest; if it does not, they raise five of seven grades and shrink the book by about a fifth of its loans. Pricing on the wrong belief gave up 15.5% to 21.4% of the profit available.
What it meant for the decision
Run a small randomised price test before choosing prices: it measures the one number the history cannot. This is a simulation on the lender's own history, not a test of prices in the market.

Share of attainable profit given up (%)

0%15%30%Pricing on the wrong belief15.5% to 21.4%
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
Pricing and offers
Industries
Banks and lenders

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

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