Confessions of a Former Credit Rating Analyst

Understanding the delta in capital adequacy between TradFi and DeFi

By Mathew Harrowing, CEO and Co-Founder, Instruxi

I was incredibly fortunate with my first job out of college, I had a front-row seat in the City of London as a credit rating analyst, learning the mechanics of how to price risk. My job was to look at an insurance company, their portfolio, reserves, and management, and produce a rating. Downstream institutions would then use that rating to decide how much exposure they wanted to that entity, and at what price. Those ratings flowed into internal risk models, pricing algorithms, investment policy statements, and eventually, into the cost of credit for everyone. It is the closest thing finance has to gravity. But I will start with a confession in that, most of what a credit rating analyst produced back then was retrospective.

We built complex rating models. We worked from quarterly disclosures, annual reports, management interviews, and stress scenarios calibrated to every imaginable historic crisis and the 12/13 financial cycles we have had since the 40ties. However, the 2008 financial crisis was a brutal reminder that a rating is an opinion, rather than a guarantee. It exposed the industry and highlighted that the data feeding that opinion wasn’t granular and timely enough,  often months out of date by the time it actually mattered. The analytical framework was strong, but the granularity of the information and the speed of the data pipeline used for the analysis were fatal weaknesses. 

The concept of universal data interoperability is something I dwell on frequently and serves as a foundational catalyst for our current architectural mission at Instruxi. 

What Capital Adequacy Actually Is

To those outside the financial sector, capital adequacy represents a mandatory regulatory capital threshold: it ensures financial institutions maintain a sufficient pool of loss-absorbing capital to withstand the potential collapse of their own assets.

Reflecting on the Basel III framework, banks are generally required to maintain Common Equity Tier 1 capital of at least 4.5% of risk-weighted assets, contributing to a total capital ratio of over 8%. In standard economic climates, supplementary buffers often elevate this effective minimum to approximately 10.5%. During our evaluations of insurance firms, we prioritized the solvency margin ratio and treasury reserve composition to verify that liquidity was adequate for meeting short- and medium-term liabilities. A vital takeaway from this process is that risk is not distributed evenly across all exposures:

• High-grade sovereign bonds typically carry a risk weight near zero.

• Investment-grade corporate bonds are often weighted between 20% and 50%.

• Unsecured loans to mid-grade borrowers command significantly higher weights.

• Assets that are unrated or speculative can be assigned risk weights of 150% or greater.

Ultimately, if a valuation fails to capture the true nature of the underlying assets, the resulting capital adequacy ratio becomes little more than a general guide. For the mathematics of solvency to be anything other than performative, market participants must possess a comprehensive understanding of the total risk profile associated with every holding.

What DeFi Substituted In Its Place

Decentralized Finance (DeFi) did not inherit the Basel framework. It inherited collateral in the form of digital assets.

Because it operates in a trustless environment, the dominant capital adequacy model in DeFi is brute-force overcollateralization: you deposit more than you borrow, and the protocol assumes the math will sort itself out via automated liquidations if things go south. MakerDAO has historically required vault ratios above 130%. Aave and Compound set strict loan-to-value (LTV) ratios per asset, layering liquidation thresholds and penalties on top. Curve utilizes a continuous 'soft liquidation' model to gently rebalance collateral as prices fall. These numbers were not developed through a slow, deliberate evolution of risk pricing. Instead, they borrowed principles from traditional finance and retrofitted them into a new ecosystem. They are set by governance proposals, informed by historical volatility data, analogies to comparable assets, or simply by copying what the market has already accepted. Ultimately, DeFi exchanged Basel's nuanced analytical approach for two things TradFi cannot match: total transparency and immediate liquidation speed.

The Delta, In Plain Numbers

The capital efficiency gap is the easiest way to see what TradFi does that DeFi does not.

A traditional bank lending against an investment-grade corporate exposure only has to hold a few cents on the dollar in capital, calibrated by the borrower's credit rating, collateral quality, and maturity. A DeFi protocol lending against that exact same borrower, assuming it had a way to underwrite them at all, would typically require deposited collateral greater than the value of the loan itself. The economic exposure is identical, but the capital tied up in DeFi is orders of magnitude larger.

That gap exists for two reasons. First, the DeFi protocol cannot verify in real time that the underlying off-chain asset is what the borrower claims it is. Second, it lacks a legally enforceable path to resolution or redemption during a liquidity event; outside of simply taking control of the digital asset and auto-selling it, the smart contract has no recourse. It compensates for this absence of trustworthy data and off-chain enforcement with brute-force overcollateralization. Essentially, the borrower pays the price for the protocol's blindness.

But the other side of this delta is just as important. TradFi's capital framework is highly sophisticated, but it runs on data that arrives in sluggish quarterly batches. A bank's regulatory capital ratio is reported every three months. The internal models that produce it are recalibrated even less frequently. When macroeconomic conditions change quickly, the framework lags. In 2008, that lag was measured in months. In a crypto-native context, a lag of that length is terminal.

Where The Two Frameworks Meet

Continuous, cryptographically verified proof of reserves is the bridge between these two worlds. I say this because, for the first time, it is technically possible to run a Basel-style risk-weighting model on a DeFi-style data pipeline.

When platforms like Instruxi TrustSync attest on-chain to the existence, custody, and price of a reserve at a cadence measured in minutes, two things suddenly become true at once:

• For DeFi: The collateral ratio a protocol uses to size its loan can incorporate live attestation data, rather than relying on a stale, months-old paper audit.

• For TradFi: The risk-weighting a regulated counterparty applies to that same exposure can be calibrated against continuous, verifiable cryptographic evidence, rather than a lagging annual disclosure. 

In a recent project we worked on, hundreds of millions of dollars in tokenized securities were priced against a live index, with on-chain proof of reserves updating continuously. Because the inputs remained active and verified, the client could confidently deploy the assets as collateral, and the market could efficiently set the loan-to-value parameters without flying blind.

We are starting to see this continuous data approach gain real traction in DeFi when it comes to pricing risk. But the concept of redemptions and liquidations remains the final frontier. Pricing risk is a data problem that continuous attestation solves, but executing a rapid, legally enforceable liquidation of an off-chain asset requires marrying DeFi's automated smart contracts with TradFi's operational realities, which is exactly what this new infrastructure enables.

Where This Goes

I ultimately left the credit rating world because I didn't fit well into the culture and felt a little constrained by the nature of the business. Instead, I found myself drawn to building and coding the systems required to automate that analysis. I have always loved bridging disciplines, however, and as we look at merging TradFi and DeFi, we have to realize that it isn't just about combining technologies, it is about combining the fundamental methodologies of how we price and manage risk.

If we get this right, banks that currently cannot hold tokenized assets on their balance sheets because the risk weights and capital adequacy requirements are punitive, will finally be able to offer better products once their data inputs are continuous and audit-grade.

Simultaneously, DeFi protocols that currently demand 130%+ collateral will be able to dynamically compress their capital requirements as their real-world verification improves. To a traditional risk officer, tokenized assets backed by continuous cryptographic attestation will begin to look like instruments worthy of a more favorable weighting than the opaque synthetic exposures they currently replace.

My final thought is this: the credit rating analyst's job hasn't disappeared. It is simply being reborn in the cryptographic verification layer. The analytical framework I once produced on a quarterly basis is now a data feed that runs every few minutes. Capital adequacy without the "trust gap" isn’t just a DeFi idea or a TradFi idea. It is the first iteration of a financial system that effectively uses the best of both.

Mathew Harrowing is the CEO and Co-Founder of Instruxi, the infrastructure layer for institutional real-world asset tokenization. Instruxi is a Chainlink Build Partner and a member of the Real World Asset Federation (RWAF).