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ZenLearn Research · July 2026

Housing Loan Underwriting: The Signals Before Sanction

The signals that predict many future NPAs are already present before sanction. The challenge is finding them consistently.

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112
Court-documented sanction-stage failures
cases
64%
Explained by three checkable failure types
92.1%
Of FY25 bank fraud value sits in loan books

The situation

India's housing lenders operate under a specific, well-drafted set of sanction-stage rules — a sanctioned building plan before a construction loan, disbursal linked strictly to construction progress, an independent valuer, verified title. The public record shows those rules being missed at the file level often enough, and recently enough, that the regulator had to remind lenders of one of them again in November 2025.

None of the tools already watching a housing loan file are built to catch this. A forged title or an uninspected valuation passes every bureau check and leaves the capital risk-weight calculation unchanged, because neither one looks at whether the underlying file was itself verified — bureau scoring measures a borrower's repayment history, and capital rules measure loan size.

Court and tribunal records document 112 cases where a sanction-stage check was missed, spanning nearly every major bank and housing finance company. Three failure types — a forged title document, an uninspected or inflated valuation, and a disbursal made without checking construction stage — are present in 64% of them. That is the exposure a board carries when the sanction decision is not independently measured, and it is narrow enough to act on.

Key findings

What the origination file already showed.

Finding 01
A clean-looking file can still carry a forged title or an unvisited valuation.

A housing loan file can pass every bureau check and every capital rule while carrying a forged title, an uninspected valuation, or unreleased construction funds — because those checks measure the borrower and the loan size, not whether the file's own documents comply with the sanction condition.

Finding 02
Three failure types explain 64% of the documented cases.

Across 112 court-documented failures spanning nearly every major bank and HFC, a forged title, an inflated or unvisited valuation, and a disbursal made without a construction-stage check together appear in 64% of the set — a pattern narrow enough to instrument.

Finding 03
Housing finance has no published fraud figure at all.

In FY25, advances fraud totalled ₹33,148 crore — 92.1% of all bank fraud across every category. No equivalent figure exists for housing finance companies: neither the RBI nor the NHB publishes a fraud line for HFCs, in any format, in any year.

Finding 04
The segment under closest watch is the one deteriorating.

Upper-Layer HFC asset quality — the tier under the regulator's closest supervision — is worsening while every other lender tier improves, and there is no published fraud figure to explain what is driving it.

Finding 05
The rule already exists; the failure is process consistency.

The three checkable steps — title verification, valuation inspection, construction-stage disbursal control — are not new requirements. The Reserve Bank published them in 2013; the NHB re-issued them in November 2025. The gap is not policy. It is consistency, and it is measurable.

The signal frequencies, from the 112-case set

Title, valuation and disbursal checks are the ones that fail most often.

Each bar is the share of the 112 court-documented cases in which that sanction-stage check failed. The three highest-leverage families — an inflated or unvisited valuation, a forged title, and a disbursal made without a construction-stage check — are the recurring spine of the failures.

Valuer inflation or no site visit35%Forged title / sale deed29%Forged income documents28%Title or encumbrance not checked21%Identity or ghost-borrower impersonation21%Staff collusion at sanction14%Disbursal without stage verification11%

Shares sum to more than 100% because a single file often failed more than one sanction-stage check.

One case, on the public record

In the largest single sanction-stage failure in this report's 112-case set, a housing finance company's own enterprise software was used to generate fictitious retail home-loan accounts at a non-existent branch. No field visit was made, no property was verified, no construction stage was checked. The accounts cleared internal processing because the checks that should have caught them — title verification, valuation inspection, and disbursal-stage confirmation — were not run. A Supreme Court judgment later stated plainly that “the underwriting procedures for loan sanctioning and disbursal were not followed.” The loss was not discovered through portfolio monitoring; it surfaced through a forensic audit, after the fictitious accounts had already grown to a scale the routine MIS had no mechanism to flag.

What's in the report

7 sections, every case cited to a public document.

01
Loan-portfolio fraud carries 92% of bank fraud value — housing finance has no equivalent figure
Banks publish loan-fraud data by category every year; housing finance companies are absent from those tables in any year on record.
02
The rule already exists; three failure types explain 64% of the 112 documented cases
The sanction-stage rule is specific and on the books — and the court record shows it being missed at the file level, at scale.
03
Detection is the one stage in the control chain with no published housing-specific standard
Prevention, investigation, adjudication and recovery all have explicit rules or a visible record. Detection does not.
04
Origination controls in international context — the standard India has not set
Whether any housing lender publishes and measures an origination-verification standard, and the patterns that persist without one.
05
Near-identical GNPA figures hide wildly different sanction-stage checks
Twelve housing lenders report similar, healthy asset-quality ratios — and disclose very different things about how they actually underwrite.
06
A controlled internal standard can target the two signal families in 56% of the cases
The highest-leverage next step is not a new regulation but a controlled, instrumented internal check on the signals already known.
07
Clean pools exist and are well-documented — but they are not a random sample of what gets sanctioned
Rating agencies verify that many housing-loan pools perform cleanly for years; the report shows why that is not the whole picture.

The next step is in your own book.

We can run about twenty of your recent housing-loan files against these signal families — entirely on exported credit files, with no core-banking access and no customer data leaving the bank — and return a signal count, a policy-deviation map and board-ready evidence in about two weeks.

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Prepared by
Rohit Kumar · ZenLearn Research
Founder, ZenLearn Research · IIM Mumbai · Former Head of Business, Eko India
ex-CFO: Blackstone IARC, Pristyn Care, GE A&C SE Asia · Engine development, Tata Nano programme
Contact: rohit@zenlearn.ai · zenlearn.ai/judgment
Primary sources

Supreme Court and High Court judgments, DRT and NCLT orders, RBI and NHB circulars and supervisory publications, and rated-pool performance data — every case and figure in the corpus tied to a citable public document. Full reference list in the report.

Related research
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The wholesale-credit companion — the discriminating weakness was legible in the origination file before the default.
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SME Underwriting: The 13 Signals
The retail/MSME companion — 50 verified cases fused into a 13-signal, three-stage early-warning codebook.
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