Liquidity at machine speed

This article is part of In conversation about sustainable finance & emission reduction systems, a new series by Diego Balverde. You're reading volume 18 of the Collateral Crisis series. Here is volume 17

Prologue

The digitalisation of collateral promises to solve one of finance's oldest operational problems: valuable assets can exist on a balance sheet while remaining unavailable when liquidity is needed most. For decades, treasury desks, banks, insurers, funds and clearing systems have lived with the same paradox. Institutions may possess sufficient wealth, yet converting that wealth into the right collateral, in the right jurisdiction and at the right moment requires assets to be located, mobilised, checked for eligibility, transferred, reconciled and settled.

Distributed ledger technology, tokenisation and programmable settlement can compress parts of that chain from hours or days toward near-instantaneous processes. Project Agorá demonstrated in May 2026 that wholesale cross-border transactions can achieve atomic settlement using tokenised central bank reserves and tokenised commercial bank deposits, while Pontes is being developed to connect market DLT platforms with TARGET Services for settlement in central bank money. Since March 2026, certain assets issued through qualifying DLT infrastructure can also be accepted as Eurosystem collateral when they meet the applicable eligibility requirements.

The technological direction is clear: financial capital is learning to move at machine speed. The problem is that a crisis can move at machine speed as well.

Liquidity is not money: It is the ability to obtain money before you are forced to sell

An institution may own billions in bonds, loans, infrastructure or securities and still face a liquidity crisis if those assets cannot be mobilised quickly enough. This is one of the central distinctions of financial stability: solvency and liquidity are not the same thing. A company can possess assets exceeding liabilities and still fail because cash or collateral must be delivered within hours; a fund can own investments with reasonable long-term economic value and be forced to liquidate them because derivatives generate margin calls; an insurer may hold perfectly solvent long-duration assets and still face pressure because its obligations require immediate liquidity.

Tokenisation can narrow part of that gap by allowing selected collateral to be identified, transferred and potentially substituted much more rapidly, but the faster the infrastructure becomes, the less time participants will have to improvise when a shock arrives. The most important consequence of machine-speed liquidity will therefore not be the disappearance of liquidity problems. It will be a much clearer distinction between institutions that built their liquidity architecture before the crisis and institutions that simply assumed there would always be enough time to find cash.

Recent experience demonstrates why this matters. The Financial Stability Board developed specific recommendations on preparedness for margin and collateral calls following episodes including the March 2020 market turmoil, the Archegos collapse in 2021, commodity-market stress in 2022 and the UK liability-driven investment turmoil later that year. The principle is straightforward: margin calls protect counterparties against credit exposure, but when calls increase suddenly for many institutions at the same time they can convert an instrument of individual protection into a systemic demand for liquidity.

Funds, insurers, hedge funds and other entities must deliver collateral precisely when markets are falling and precisely when the assets they could sell to obtain cash are losing value. This can create a familiar sequence: margin call, forced sale, price decline, higher volatility, additional margin call and additional sale. Technology does not eliminate that process. More efficient infrastructure may compress it, allowing a sequence that previously unfolded across several days to begin developing within hours.

The collateral mobility premium

Until now, much of an asset's financial utility depended on credit quality, market liquidity and eligibility. A new variable is increasingly relevant: how rapidly the asset can be converted into usable liquidity without destroying value.

Two bonds with similar economic characteristics can become operationally different when one is immediately available inside the infrastructure used by the institution while the other remains trapped behind custodians, jurisdictions or manual processes; two portfolios can possess similar nominal quality while offering very different ability to meet a margin call; two banks can maintain similar liquidity buffers while operating radically different collateral-management architectures. This can create a collateral mobility premium in which assets that are easily identifiable, interoperable, legally clear and rapidly transferable provide greater financial utility than economically similar assets that are operationally slower.

Tokenisation can change that economy because digital representation can improve inventory visibility, ownership tracking and transferability while atomic settlement reduces the risk that one leg of a transaction executes without the other. Project Agorá demonstrated that cross-border wholesale transactions can settle simultaneously and indivisibly, and the BIS notes that similar architectures could eventually enable conditional and potentially always-on payments. The implications for treasury management are significant: less liquidity immobilised during reconciliation, lower operational risk and better use of available collateral.

Yet greater settlement efficiency should not be confused with lower liquidity needs. Real-time gross settlement systems have illustrated a similar paradox for decades: reducing settlement risk can simultaneously increase the need for intraday liquidity because each transaction must be funded in real time. Central banks therefore developed liquidity-saving mechanisms, netting tools and related arrangements. Tokenisation raises the same question at a different technological scale: how much settlement risk should be eliminated and how much liquidity must participants keep ready to make that possible.

When the margin call becomes an algorithm

The most delicate transformation will appear when collateral valuation, margining and execution become increasingly automated. Current markets already use models capable of recalculating exposures daily or intraday, but many subsequent processes still contain operating windows, reconciliations and human decisions. Tokenised infrastructure can move closer to real time. When a position loses value, the system can immediately identify the additional collateral requirement; if eligible collateral is digitally available, it can potentially be mobilised; if sufficient assets are unavailable, the institution may face an immediate cash or substitution need.

Operationally this appears highly efficient. Systemically it creates a more difficult problem: what we currently describe as operational delay sometimes functions as a temporary buffer during which treasury teams can locate liquidity, negotiate, substitute collateral or determine whether a price movement is transient.

Eliminating every delay without constructing equivalent control mechanisms could create technically elegant but financially procyclical infrastructure. An algorithm does not need to feel panic to generate a fire sale. It only needs to execute its contractual logic under conditions that nobody expected to occur simultaneously.

When thousands of portfolios use similar valuation models, common market prices and related triggers, a market decline can produce synchronised collateral calls. Participants then sell their most liquid assets because those are precisely the assets that can be sold rapidly, transmitting stress into securities that were not initially impaired. The FSB therefore emphasises stress testing, liquidity governance, extreme-scenario analysis and robust collateral-management practices. The central paradox of programmable finance is that the more automatic execution becomes, the more sophisticated human preparation must be before execution begins.

DOIX must measure not only the asset but its ability to survive a liquidity shock

Until now, DOIX has primarily been positioned as infrastructure for measuring physical and operating performance. In the new collateral economy, it should include a second dimension: liquidity resilience.

Not every asset requires the same architecture, but any debt-financed asset should be capable of answering fundamental questions before stress arrives. How much recurring cash does it generate, how much is contractually committed, what future CAPEX is unavoidable, which guarantees can be mobilised, when does debt mature, how sensitive is the operation to energy, which covenants could activate, what proportion of collateral is immediately available and what proportion depends on processes that may fail during stress?

For ports this can connect with throughput, contracts and utilisation; for BESS with revenue stacking, availability, degradation and contracted capacity; for factories with inventory, production, energy and receivables; for data centres with power contracts, utilisation, availability and capital commitments. DOIX can connect these variables into a continuous map showing not merely what the asset is worth but how long it can continue operating if markets temporarily stop financing it.

BalGreen can act on this vulnerability because many corporate liquidity crises contain operating causes that existed long before the financial shock. A company suffering persistent downtime, excess inventory, inefficient energy use and poorly structured contracts can consume unnecessary cash for years; when market stress finally arrives, the liquidity problem appears to have been created by finance even though part of the fragility was already embedded inside operations.

Reducing operational losses, improving working capital, increasing predictability, stabilising energy exposure and defending asset availability also increase the number of days an enterprise can survive financially. This extends the BalGreen doctrine beyond EBITDA and credit improvement: reducing waste also reduces the probability that a company must seek emergency liquidity precisely when liquidity becomes most expensive.

From liquidity buffer to liquidity operating system

The bank, fund or corporation of the future should not treat liquidity simply as a stock of cash or high-quality liquid assets held for emergencies. It will need a liquidity operating system capable of continuously understanding what resources exist, where they are located, how quickly they can be mobilised, what haircuts may apply and which obligations can emerge under different scenarios.

Such an architecture will have to integrate cash, collateral, settlement, funding, derivatives, operating data and stress testing. Tokenisation can move part of that process closer to real time; intelligence must convert that speed into better decisions. An institution that merely automates collateral transfer will become faster. An institution that models in advance how its complete balance sheet responds to shocks will become safer.

This creates another potential layer for BalGreen Capital. Before financing an asset or portfolio, a Collateral and Liquidity Resilience Map can connect DOIX operating information with financial exposures, allow BalGreen to identify correctable vulnerabilities and allow BalGreen Capital to design debt structures consistent with real cash-generation capacity.

This means avoiding excessive maturity concentration, aligning amortisation with operating performance, maintaining reserves where volatility justifies them, selecting appropriate collateral and modelling situations in which declining revenue, higher energy prices, rising haircuts and temporary closure of refinancing markets occur simultaneously. Financial engineering should not merely maximise leverage under the base case. It should construct a structure capable of remaining alive when the base case disappears.

The risk of speed

Financial history repeatedly shows that systems fail not because all economic value disappears but because the speed of obligations exceeds the speed at which assets can become liquidity. Commercial banking learned this through bank runs, repo markets through collateral haircuts, investment funds through redemptions and derivatives markets through margin calls. Tokenisation can change the time dimension of all of them. If capital moves continuously and contracts become increasingly programmable, speed stops being simply a competitive advantage and becomes a variable of financial stability.

Regulators and market participants will therefore eventually need to consider not only how much collateral exists but how much can be mobilised simultaneously without generating a price shock. If many institutions need the same category of high-quality assets at once, nominal availability does not guarantee sufficient market liquidity; if everyone sells the same portfolio to obtain cash, prices fall; if haircuts rise simultaneously, collateral requirements increase precisely when economic availability declines.

Future infrastructure may require throttling, liquidity-saving mechanisms, collateral substitution, buffers, circuit breakers and human intervention for selected critical decisions. Progress does not require every process to become instantaneous. It requires knowing which processes should become instantaneous and which should deliberately contain enough time to prevent chain reactions.

Analysis

Machine-speed liquidity could become one of the largest sources of financial productivity during the coming decades because it can reduce immobilised assets, settlement risk, reconciliation requirements and operating costs. It can allow a given quantity of capital to be used more efficiently and enable institutions to mobilise resources with greater precision.

The economic result, however, depends entirely on design. Fast infrastructure supplied with poor data creates faster mistakes; automated infrastructure combined with excessive leverage creates faster deleveraging; precise margining without adequate liquidity buffers creates cash demands that participants cannot meet. The genuine innovation will therefore be the combination of three different speeds: technological speed to execute, analytical speed to understand and institutional speed to decide when an automatic reaction must be slowed or stopped.

For BalGreen and DOIX, this creates an opportunity far beyond reporting. A modernised and continuously monitored industrial asset can produce the information required to detect increasing financial vulnerability before a liquidity crisis materialises. If DOIX identifies deteriorating performance, BalGreen can intervene operationally and BalGreen Capital can reconsider financing architecture before pressure becomes default.

The combination creates a form of preventive finance: identifying fragility while sufficient time still exists to correct it. That capability can become particularly valuable in private credit, project finance, infrastructure portfolios and capital-intensive industries where small recurring operating losses can eventually generate large refinancing requirements.

Conclusion

The next collateral revolution will not simply mean that assets move faster. It will mean that the entire liquidity system can react faster.

Project Agorá has already demonstrated atomic settlement across currencies using tokenised commercial bank money and central bank reserves; Pontes will connect market DLT platforms to TARGET Services; qualifying DLT-issued assets can already enter the Eurosystem collateral framework; and international authorities have simultaneously strengthened recommendations for preparedness against margin and collateral calls because synchronised liquidity demands can amplify market shocks. These developments are not contradictory. They are two sides of the same transformation: financial markets are becoming capable of moving capital more efficiently, and institutions must therefore become capable of surviving when that movement becomes extraordinarily fast.

Our opportunity is to convert speed into resilience. DOIX observes both the asset and its liquidity position, BalGreen reduces the losses consuming cash, DOIX verifies the improvement, BalGreen Capital structures debt and collateral consistent with actual operating performance, and digital infrastructure mobilises collateral when it is genuinely needed. The objective is not to execute every margin call faster. It is to create assets that require fewer emergency liquidity interventions and systems that know in advance what will happen when the next shock arrives.

In the previous economy, possessing good collateral was enough.

In the next economy, institutions will need to know where it is, what it is worth, how it is performing, how quickly it can move and how long its owner can survive if everyone else attempts to mobilise the same type of collateral at the same time.

That will be the real definition of liquidity.

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