--- title: "Early payment default isn't a credit event. It's a fraud signal." url: https://lendriskanalytics.com/insights/early-payment-default.html publisher: LendRisk Analytics kind: Underwriting description: "In deep subprime, a loan that defaults in the first three payments rarely went bad. It started bad. EPD is the fingerprint of misrepresentation at origination, and it clusters in a handful of dealers." html: https://lendriskanalytics.com/insights/early-payment-default.html --- # Early payment default isn't a credit event. It's a fraud signal. [← All insights](https://lendriskanalytics.com/articles.html) Vol · 08 Underwriting · 6 min read Underwriting # Early payment default isn't a credit event. It's a fraud signal. A subprime loan that goes 90 days delinquent in year two went bad. A loan that misses its first three payments was bad the day it was written. The industry treats both as credit problems and reaches for the same lever, a higher score floor. That is the wrong lever, because early payment default is rarely about the borrower's credit. It is about what was true on the application, and who sent it. 30-70% Of early payment defaults tied to application fraud ~10% Of dealers tied to nearly all EPD losses $10.4B Record auto-lending fraud exposure, 2026 Early payment default, EPD, means the loan stops performing almost immediately, typically a default inside the first three to six payments. It is rare. Point Predictive's data puts it at under 1 percent of prime auto loans and under 5 percent of subprime. That rarity is exactly what makes it loud. A borrower who could make a down payment, pass a stip check, and then never make a single real payment did not get unlucky. Something in the file was not true. ## It is not the borrower. It is the application. The fraud research is blunt about this. Loans that default in the first six months carry a far higher probability of material misrepresentation than loans that sour later, and analysts put the share of EPD linked to some form of fraud at roughly **30 to 40 percent**, with more recent work tying as much as **70 percent** of early payment defaults to fraudulent applications. The misrepresentation is usually mundane, not cinematic: inflated or fabricated income, fake employment, a straw borrower, a power-booked vehicle value, a synthetic identity stitched together to clear an automated decision. None of that shows up in a credit score. A score measures a real person's real history. It cannot measure whether the person, the income, or the car on the contract is real. That is the entire reason raising your FICO floor does not fix EPD: you punish honest thin-file borrowers, the exact customers a subprime book exists to serve, and you still fund the fraud, because the fraud was engineered to clear whatever floor you set. **EPD is uncorrelated with the thing your underwriting actually measures.** It is a verification failure, not a creditworthiness failure. Treating it as a credit problem means tightening the one dial that cannot move it. ## And it does not come from everywhere. It comes from a few doors. Here is the part that should change how a subprime lender spends its attention. The losses are not diffuse. Point Predictive's analysis finds that close to **100 percent of fraud losses come from fewer than 3 percent of dealers**, and close to **100 percent of early-payment-default losses come from about 10 percent of dealers.** Systematic dealer behavior, repeatedly inflating values, recycling fake employers, can raise the default risk on that dealer's paper by as much as **500 percent.** That is not a borrower-underwriting story. It is a channel-surveillance story. The signal you are looking for is not a number on a single applicant; it is a pattern across a dealer's submissions. A channel that produces three EPDs in its first thirty contracts is not a channel with unlucky customers. It is a channel telling you exactly what it is, in the only language that does not lie. ## The right response, then, is not a tighter borrower. It is a watched door. Two moves, in order. First, move fraud detection *in front of* funding. The same research suggests a finance company can flag half or more of its eventual EPD before the money goes out, using fraud and income-verification models rather than credit score alone. The cheapest EPD is the one you never funded. Second, run EPD as a dealer metric, not a portfolio metric. Track first-payment and early-default rates by source, weight your diligence toward the doors that spike, and put recourse and probation on the channels that earn it before they earn it twice. A new dealer's first thirty contracts tell you more than their references ever will, and the public-record profile of a high-risk dealer, entity cycling, name changes, prior consumer-protection actions, is usually visible before the first loan is even funded. Method note Score a dealer before you board it, and rank the ones you already have The deep-subprime business is built on funding people the rest of the market won't, and most of those people pay. The book does not get killed by the honest thin-file borrower. It gets killed by the small set of loans that were never real, funneled through the small set of dealers that keep sending them. EPD is the alarm on that exact door. Stop reading it as a credit number. Start reading it as an address. **Sources & notes** EPD and fraud figures from Point Predictive's auto-fraud research, including its [2026 Auto Lending Fraud Trends Report](https://pointpredictive.com/press-releases/point-predictive-releases-2026-auto-lending-fraud-trends-report-fraud-exposure-reaches-record-10-4-billion/) (record $10.4B exposure; EPD <1% prime / <5% subprime; dealer-concentration figures) and its [analysis of US auto-fraud losses](https://pointpredictive.com/estimating-auto-fraud-lending-losses-in-the-united-states/); the 70%-of-EPD-tied-to-fraud figure via [Auto Finance News](https://www.autofinancenews.net/allposts/risk-management/fraud-alert-70-of-early-payment-defaults-tied-to-fraudulent-applications/) and [Auto Remarketing](https://www.autoremarketing.com/subprime/point-predictive-spots-record-auto-fraud-exposure-climbing-early-payment-default-risk/). Figures are industry estimates and vary by dataset and definition of EPD. Independent analysis, not investment, legal, or compliance advice. LR LendRisk Analytics Independent market research Continue reading [Vol · 05 · Case study Anatomy of a *toxic book*: the aggregate said fine](https://lendriskanalytics.com/insights/toxic-book.html) [Vol · 10 · Servicing The waiting tax: the most expensive repo is *the one you didn't make*](https://lendriskanalytics.com/insights/the-waiting-tax.html)