Credit risk comes through the on-chain door

Graduate · enrolled learners

This lesson opens with Maple Finance and Orthogonal Trading, December 2022.

What happened

Maple Finance ran on-chain lending pools: lenders deposited funds into a pool, and a pool manager lent them out to vetted institutional borrowers, a way of bringing real-world credit, lending to actual businesses, on-chain. Orthogonal Trading was one of its large borrowers. After the collapse of FTX in November 2022, Orthogonal had suffered heavy losses on its exposure but continued to represent itself as financially healthy in order to keep borrowing, and in December 2022 it defaulted on around 36 million dollars of loans, a loss the lenders in the pool bore. Maple's managers stated that Orthogonal had misrepresented its financial position. The loss was not a smart-contract bug and not a hack; it was ordinary credit risk, a borrower that lied about its solvency and could not repay, arriving through an on-chain wrapper that made the lending look more automated, transparent and safe than the underlying credit actually was. The blockchain recorded the loans perfectly and enforced their terms exactly, and none of that made the borrower any more able to pay. The risk that mattered was the oldest one in finance, will the borrower pay you back, and tokenizing the loan did nothing to reduce it; it only changed the door it came through.

The decision point

Tokenizing a real-world loan puts it on-chain; it does not change the fundamental question of credit, which is whether the borrower will repay, so the credit risk of the underlying is inherited in full and merely arrives through a new, smoother-looking door. Maple and Orthogonal are the case: an on-chain lending pool lent around 36 million dollars to a borrower that, after FTX's collapse, misrepresented its health to keep borrowing and then defaulted, and the lenders bore the loss, not because a contract failed but because a borrower could not pay. This course closes the graduate track on tokenized finance, and it opens on the risk most easily hidden by the technology: that an on-chain wrapper can make ordinary credit risk look automated, transparent and safe, when the blockchain enforces the loan's terms perfectly while doing nothing to make the borrower more solvent. So the decision when underwriting or holding a tokenized-credit position is to assess it by the real creditworthiness of the borrower and the real quality of the underlying, exactly as a lender always has, and to treat the smoothness of the on-chain wrapper as presentation and not protection, because the loss in tokenized credit comes the same way it always has, from a borrower who does not repay, and Maple is the proof that putting the loan on-chain changes the door the default comes through and nothing about whether it comes.

Recorded loss

$36,000,000

Orientation and Year One are open: anyone can read them without an account. From Year Two onward the lessons are for enrolled learners, because progress through the later years only means anything if it is tracked against a record.

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