(8) Double Pledging and the Case for Collateral Registries

Why Double Pledging Happens

Recent failures in asset-backed finance have exposed a structural weakness that has existed for decades: lenders and investors often rely on collateral data that is produced and controlled by the borrower itself. When that information becomes unreliable, the entire funding structure becomes vulnerable. In several recent cases — including First Brands, Tricolor, and Market Financial Solutions — creditors have alleged that assets supporting financing facilities were duplicated, misreported, or fabricated. Accusations of double pledging emerged in connection with multiple facilities across these transactions, raising questions about whether the same collateral had been pledged simultaneously to different creditors.

These episodes highlight a deeper issue than a documentation error. They point to a governance failure embedded in securitisation and warehouse lending structures. Investors rely on periodic reporting and verification processes, yet the originator’s systems can generate and modify collateral data continuously. The resulting mismatch between real-time activity and periodic verification creates the conditions in which duplicate pledges or inaccurate collateral representations can remain undetected for extended periods.

Distributed ledger technology is often presented as a potential solution. Under the right circumstances, it can reduce duplication risk by creating a shared registry of pledged assets. However, blockchain addresses only part of the problem. It can make it harder to pledge the same identified asset twice, but it cannot guarantee that the underlying asset exists or that its characteristics are accurate. The technology strengthens verification infrastructure, yet it does not eliminate the incentive to misrepresent collateral when the originator controls the data inputs.

For that reason, the relevant question is not whether blockchain can eliminate collateral fraud. The more practical question is whether shared collateral registries — whether blockchain-based or not — can meaningfully reduce one of the most common and costly failure modes in structured finance: the ability to pledge the same asset to multiple creditors without detection.

How the Failure Mechanism Works

Double pledging arises from a structural feature of asset-backed lending. Funding decisions are typically based on periodic information such as borrowing base certificates, servicer reports, and eligibility tapes. These reports may be produced monthly or quarterly. Meanwhile, the borrower has the ability to modify collateral records continuously within its own systems.

In theory, securitisation structures distribute responsibilities across several independent actors. Originators generate loans, servicers manage collections and reporting, trustees monitor compliance, and verification agents review asset files. In practice, however, many of these controls rely on information generated by the originator itself. Trustees and verification agents test compliance against data they receive rather than data they independently collect.

The cases that have recently come under scrutiny illustrate several recurring patterns. In receivables finance structures, borrowers may submit invoices or receivable balances that are later alleged to have been duplicated across multiple financing arrangements. In consumer loan securitisations, loan-level attributes such as delinquency status, payment histories, or eligibility fields may be altered so that assets appear to meet borrowing-base criteria even when their economic characteristics have deteriorated. In property-backed warehouse lending, the same underlying mortgage exposure can be associated with multiple financing facilities arranged by different lenders.

These mechanisms are typically enabled by similar control weaknesses. Borrower-controlled reporting allows the originator to determine what information lenders see and when they see it. Eligibility classifications can be manipulated to keep deteriorating assets inside borrowing bases. Information silos prevent lenders from knowing what collateral has been pledged elsewhere. Reconciliation processes occur too infrequently to detect inconsistencies before exposures become significant.

Incentives also play an important role in this dynamic. When the equity tranche of a securitisation has lost economic value, the originator’s incentives change. Honest reporting may trigger early amortisation events or facility wind-downs that restrict liquidity. In those circumstances, maintaining the appearance of collateral health can become more attractive than revealing deterioration. Continued access to warehouse liquidity may provide operating cash flow even as the underlying asset pool weakens.

What Blockchain Could Change

Blockchain introduces a different method of recording collateral relationships. Instead of each lender maintaining an independent view of pledged assets, a shared ledger can record encumbrances across multiple funding facilities simultaneously. If each asset receives a unique digital identifier and each pledge event is recorded on a shared system, lenders can verify whether the same asset has already been pledged elsewhere.

This capability addresses the duplication detection problem directly. Before funding an advance, a lender could query the registry and confirm that the asset has not been encumbered elsewhere within the network. Smart-contract style logic could enforce funding rules automatically, preventing advances against assets that have previously been pledged.

Another advantage lies in auditability. Blockchain records are designed to be immutable. Once a pledge event is recorded, it cannot be retroactively altered. This creates a permanent history of collateral movements and can reduce disputes between creditors about the timing or sequence of encumbrances.

However, these advantages apply only to a specific dimension of the problem. Blockchain can confirm that a particular identifier has not been pledged twice within the registry. It cannot confirm that the asset associated with that identifier is genuine. If a borrower fabricates loans or manipulates loan attributes before submitting them to the registry, the ledger will faithfully record the pledge of those assets.

This limitation is widely known as the oracle problem. Blockchain systems rely on external data sources to represent real-world events. If those data sources are inaccurate or manipulated, the ledger preserves the error rather than correcting it. In structured finance, the originator’s servicing system effectively acts as the oracle. When the originator controls the data pipeline, the technology alone cannot guarantee the truth of what enters the ledger.

Designing Collateral Registries

Several architectures could support collateral tracking. A public blockchain registry would provide maximum transparency, but it is generally incompatible with consumer lending transactions. Personal borrower data cannot be exposed on a public ledger, and regulatory frameworks impose strict privacy requirements.

A permissioned consortium ledger is more realistic. In this model, only authorised institutions can write or read transactions. Participating lenders operate nodes and collectively maintain the registry. This approach preserves privacy while enabling cross-lender visibility. However, consortium governance introduces its own challenges because competing institutions must agree on standards, operating rules, and cost sharing.

Another possibility is a regulator-hosted registry. A public authority could maintain the ledger and define the legal consequences of registration. Comparable models already exist in aircraft finance through the International Registry established under the Cape Town Convention. The effectiveness of that system arises not from the underlying database technology but from the legal recognition attached to the registry.

A trustee-operated ledger represents a more incremental approach. Trustees already monitor compliance and hold security interests in many securitisation structures. Expanding their role to include collateral registry management could fit naturally within existing governance frameworks. However, unless trustees share information across facilities, this model would not fully eliminate cross-facility duplication.

In practice, the most pragmatic solution may not require blockchain at all. A centralised hash registry can detect duplicates by comparing cryptographic fingerprints of asset identifiers without revealing the underlying data. Lenders submit hashed representations of assets and receive confirmation if duplicates exist elsewhere in the system. This architecture enables cross-lender verification while preserving confidentiality.

Legal and Operational Constraints

Legal frameworks for secured lending were not designed with digital collateral registries in mind. In many jurisdictions, the perfection of security interests depends on filings, notices, or contractual arrangements rather than digital records.

For example, the Uniform Commercial Code in the United States establishes priority through financing statement filings. These filings identify the debtor and describe the collateral category but rarely track individual assets. The system provides legal notice but does not guarantee that lenders are financing unique collateral pools.

In the United Kingdom, charges must often be registered with Companies House. Although this registry increases transparency around corporate security interests, it does not track individual loan-level assets. Multiple lenders can still believe they are secured against the same economic exposure.

Privacy regulations create additional complexity. Consumer loans contain personal data such as borrower identities, addresses, and payment histories. Any shared ledger recording loan-level information must comply with strict data protection rules. As a result, most viable registry designs rely on hybrid architectures in which sensitive data remains off-chain while cryptographic identifiers or hashes are recorded within the registry.

Operational integration also presents challenges. Loan-level data across the securitisation market lacks standardisation. Different lenders and servicers use different data structures, field definitions, and reporting templates. A shared registry would require agreement on asset identifiers and data formats across the industry.

Governance and Incentives

Technology alone cannot solve the double pledging problem. Governance determines whether a registry has real influence on lending behaviour. If participation in the system is voluntary, borrowers engaging in fraudulent activity will simply avoid it. For a registry to be effective, lenders must require registration as a condition precedent to funding.

Advances should occur only after the registry confirms that the asset has not been pledged elsewhere. In this way the registry becomes an operational gate rather than a passive database. Borrowers would have no choice but to submit collateral records to the system if they wish to draw funds.

Even with such controls, registries must operate alongside independent verification mechanisms. Cash flows should be reconciled through controlled accounts. Loan attributes should be validated periodically against external data sources such as vehicle registries or land records. Without these additional safeguards, misrepresentation may simply migrate to other forms of data manipulation.

Conclusion

Blockchain and related registry technologies can materially reduce the risk of collateral duplication in structured finance. By creating a shared system for recording encumbrances, they can prevent the same asset from being pledged to multiple lenders simultaneously. This represents a meaningful improvement over current practices, where lenders rely heavily on borrower attestations and periodic reconciliations.

Yet blockchain is not a comprehensive solution. The deeper challenge lies in information asymmetry and incentive misalignment between originators and capital providers. When originators control the data inputs and economic incentives deteriorate, the temptation to misrepresent collateral information remains.

The realistic role of blockchain is therefore limited but important. Shared registries can close one important avenue for misconduct: the duplication of identified assets across facilities. They cannot eliminate fabricated loans or manipulated loan attributes.

Future collateral integrity frameworks will likely combine several layers of defence. Shared registries will provide real-time visibility across lenders. Independent verification will confirm asset existence and performance. Governance frameworks will align incentives and enforce participation.

Technology can strengthen the infrastructure of trust in structured finance. But trust in collateral markets will ultimately depend on governance, incentives, and oversight rather than on technology alone.

Sources

First Brands – receivables, supply‑chain and double‑pledging

1. U.S. Department of Justice, "First Brands Executives Charged With Multibillion‑Dollar Fraud" https://www.justice.gov/usao-sdny/pr/first-brands-executives-charged-multibillion-dollar-fraud

2. Neil Callanan, "First Brands Executive Brumbergs Detailed Fraud in Guilty Plea" https://www.bloomberg.com/news/articles/2026-02-26/first-brands-executive-brumbergs-detailed-fraud-in-guilty-plea

3. Reuters, "First Brands founder indicted for fraud after bankruptcy that hit investors" https://www.reuters.com/business/finance/first-brands-founder-patrick-james-his-brother-indicted-fraud-2026-01-29/

4. Cambridge Associates, "Do the Recent Bankruptcies of First Brands and Tricolor Suggest Trouble Ahead?" https://www.cambridgeassociates.com/en-eu/insight/do-the-recent-bankruptcies-of-first-brands-and-tricolor-suggest-trouble-ahead-

5. Trade Treasury Payments, "Did Supply Chain Finance Contribute to the Collapse of First Brands Group, LLC?" https://www.linkedin.com/posts/trade-treasury-payments_ttpanonymous-supplychainfinance-tradefinance-activity-7387184767315742720

6. DocCredit, "First Brands Bankruptcy Casts Spotlight on Supply Chain Finance" https://www.doccredit.world/first-brands-collapse-supply-chain-finance-hidden-debt-accounting/

Tricolor – subprime auto, duplicate VINs and double‑pledging

7. Bloomberg, "Tricolor Records Show Same Cars Tied to Thousands of Loans" https://www.bloomberg.com/news/articles/2025-10-03/tricolor-records-show-same-cars-tied-to-thousands-of-loans

8. Chris Isidore, "Executives at subprime auto lender Tricolor face fraud charges following collapse" https://abc17news.com/money/cnn-business-consumer/2025/12/17/executives-at-subprime-auto-lender-tricolor-face-fraud-charges-foll

9. Banking Dive, "JPMorgan, Barclays, Fifth Third sued over Tricolor" https://www.bankingdive.com/news/jpmorgan-barclays-fifth-third-sued-tricolor-fraud/813504/

10. Wolters Kluwer, "Double pledging after Tricolor: Stop treating collateral like a suggestion" https://www.wolterskluwer.com/en/expert-insights/double-pledging-after-tricolor-stop-treating-collateral-like-a-suggestion

11. Credit Chronometer, "Double Trouble in Tricolor: Risks in Collateral Misrepresentation" https://www.creditchronometer.com/double-trouble-in-tricolor-risks-in-collateral-misrepresentation

Market Financial Solutions (MFS) – UK property lender and double‑pledging

12. Bloomberg, "MFS Creditors Warn of £930 Million Shortfall in Collateral" https://www.bloomberg.com/news/articles/2026-02-26/mfs-creditors-warn-of-930-million-shortfall-from-double-pledges

13. Bloomberg, "Barclays, Apollo’s Atlas Among Lenders to Failed UK Firm MFS" https://www.bloomberg.com/news/articles/2026-02-26/barclays-atlas-among-firms-exposed-to-collapsed-uk-lender-mfs

14. Bloomberg, "New Credit Blowup in London Has Wall Street Chasing Billions" https://www.bloomberg.com/news/articles/2026-02-26/a-new-credit-blowup-in-london-has-wall-street-chasing-billions

15. Gelonghui / Futu, "British mortgage lender MFS is accused of double pledging, with a potential shortfall of over 80% in 1.2 billion pounds of loans" https://news.futunn.com/en/post/69377532/british-mortgage-lender-mfs-is-accused-of-double-pledging-with

Structural weaknesses and control failures in collateral

16. Wolters Kluwer, "Double pledging after Tricolor: Stop treating collateral like a suggestion" https://www.wolterskluwer.com/en/expert-insights/double-pledging-after-tricolor-stop-treating-collateral-like-a-suggestion

17. TradeFinanceGlobal / TTP, "First Brands Group's bankruptcy and the dangers of improper trade finance accounting" https://www.tradefinanceglobal.com/posts/first-brands-groups-bankruptcy-dangers-improper-trade-finance-accounting/

U.S. secured lending – UCC, perfection and notice filing

18. Cornell Law School, "U.C.C. § 9‑502. Contents of Financing Statement" https://www.law.cornell.edu/ucc/9/9-502

19. Cornell Law School, "U.C.C. § 9‑504. Indication of Collateral" https://www.law.cornell.edu/ucc/9/9-504

20. Dorsey & Whitney, "Revisiting Financing Statement Collateral Descriptions" https://www.dorsey.com/newsresources/publications/client-alerts/2019/05/revisiting-financing-statement-collateral

21. Kutak Rock, "“All assets” Filings Under the Uniform Commercial Code" https://www.kutakrock.com/newspublications/publications/2017/01/all-assets-filings-under-the-uniform-commercial-co

22. Loeb & Loeb, "Taking Care with Collateral Descriptions in UCC Financing Statements" https://www.loeb.com/en/insights/publications/2019/04/taking-care-with-collateral-descriptions-in-ucc-financing-statements

23. Investopedia, "What Is a Uniform Commercial Code Financing Statement (UCC‑1)?" https://www.investopedia.com/terms/u/ucc-1-statement.asp

24. Nolo, "How to Attach and Perfect a Security Interest Under the UCC" https://www.nolo.com/legal-encyclopedia/how-attach-perfect-security-interest-under-the-ucc.html

UK secured lending – Companies House charges

25. GOV.UK, "Register a charge (mortgage) for a limited company" https://www.gov.uk/guidance/registering-a-charge-mortgage-for-a-company

26. GOV.UK, "Register particulars of a charge (MR01)" https://www.gov.uk/government/publications/register-particulars-of-a-charge-mr01

27. Companies Act 2006, Part 25 – The register of charges https://www.legislation.gov.uk/ukpga/2006/46/part/25/chapter/2/crossheading/the-register-of-charges

28. Inform Direct, "Guide to registering a charge at Companies House" https://www.informdirect.co.uk/company-records/guide-registering-charge-companies-house/

29. Inform Direct, "What is a company's register of mortgages and charges?" https://www.informdirect.co.uk/company-records/what-is-a-companys-register-of-mortgages-and-charges/

Cape Town Convention and the International Registry (aircraft example)

30. International Registry, "About Us – International Registry" https://www.internationalregistry.aero/ir-web/aboutUs

31. International Registry, "Home – International Registry" https://www.internationalregistry.aero

32. ICAO, "Cape Town Convention and Protocol" https://www.icao.int/cape-town-convention-and-protocol

33. UK Government, "The International Interests in Aircraft Equipment (Cape Town Convention) Regulations 2015" https://www.legislation.gov.uk/uksi/2015/912/contents/made

34. UNIDROIT, "Overview – Cape Town Convention" https://www.unidroit.org/instruments/security-interests/cape-town-convention/

35. Aviation Working Group, "Cape Town Convention – Aviation Working Group" https://awg.aero/project/cape-town-convention/

Blockchain, shared registries and the oracle problem

36. Bank for International Settlements, "The oracle problem and the future of DeFi" https://www.bis.org/publ/bisbull76.pdf

37. Chainlink Labs, "The Blockchain Oracle Problem" https://chain.link/education-hub/oracle-problem

38. Building Inc., "The Oracle Problem in Financial Instruments" https://info.building.inc/industry-guides/tokenization-and-digital-capital-markets/vii.-the-oracle-problem-in-financial-instruments

39. Rejolut, "What is Blockchain Oracle Problem and how Chainlink is solving it" https://rejolut.com/blog/what-is-blockchain-oracle-problem-and-how-chainlink-is-solving-it/

40. Google Cloud, "Solving the oracle problem for enterprise blockchain" https://cloud.google.com/blog/topics/financial-services/blockchain-oracles-dz-bank-solution-defi-enterprise-applications