Asia Market Entry Decision Framework

Key takeaways

• The reviewed terms do not establish faster direct cash redemption for the tokenized fund. Payment windows are commitments, not measured processing times. [4] [5]
• At an assumed 4% annual net carry difference, three additional productive days on USD 1 million are worth USD 328.77. A 10 bp fee needs 9.13 days to break even.
• Recurring use can justify infrastructure costs; collateral borrowing can meet a deadline. Both require an actual counterparty and an economic comparison with the available alternatives.

A treasury does not buy a faster ledger. It buys income on cash that would otherwise sit idle, or access to money when a payment is due. A tokenized money-market fund earns its place only when those outcomes improve after costs.

Our comparison of two Franklin Templeton USD money-market funds leads to a specific conclusion: the public terms do not establish a faster direct cash exit for the tokenized product. Its stronger economic case requires an additional use for the fund shares: settlement with an accepting counterparty, or financing against eligible collateral. That additional use must save enough capital or operating expense to pay for distribution, conversion and financing.

The distinction matters most over short holding periods. Small transaction charges can consume several days of money-market income. This paper measures that hurdle, separates documented product terms from hypothetical economics, and identifies the circumstances that would change the conclusion.

1. A comparison with a defined buyer

We study an already onboarded, non-US Singapore treasury investor with USD cash, access to both selected share classes and a USD 1 million allocation. This is a conditional comparison of product economics; it does not imply every corporate account is eligible. A retail saver starting with USD 20 faces a different access problem.

The pair is Franklin OnChain U.S. Dollar Short-Term Money Market Fund and Franklin U.S. Dollar Short-Term Money Market Fund, both A (acc) USD. Franklin explicitly describes the tokenized fund's investment objectives as mirroring the Luxembourg fund's objectives. That makes the pair more informative than comparing a tokenized bond with a money fund. [1]

Source: Franklin Templeton Singapore ↗ · Captured September 12, 2026. The screen shows September 10 NAV; the return comparison below uses July 31 factsheets.

Identifiers, minimums and benchmark are from the July 31, 2026 share-class factsheets. [2] [3]

The funds remain separate portfolios in different legal structures. Matching manager, currency and stated purpose does not hold credit exposures, holdings or domicile constant. We therefore compare observable terms and outcomes, without attributing return differences to tokenization. We also exclude Franklin's US government money fund: a feature available to its US token holders is not evidence of the same feature for this Singapore fund.

Institutional distribution is real: Marketnode announced its appointment as an authorised distributor in March 2026. Distribution access, however, answers where an eligible customer can obtain exposure; it does not by itself supply a secondary buyer or a lending facility. [7]

2. The cash exit still has a dealing calendar

The conventional fund's May 29 Product Highlights Sheet specifies payment within one Dealing Day following the Dealing Day on which a sale request is received and accepted. Its representative's cutoff is 4 p.m. Singapore time; a later accepted request uses the next Dealing Day's valuation. [4]

The tokenized fund's May 12 sheet describes normal redemption proceeds within seven Business Days after receipt and acceptance, with requests after its 4:30 p.m. deadline carried to the next Dealing Day. Its register combines blockchain records with off-chain information. Token recordkeeping does not remove the fund's dealing process. [5]

These are documented payment windows, not measured execution times. Seven days is not an observed average; one day is not a guarantee under every stress condition. We cannot conclude that the tokenized fund normally takes six extra days. We can conclude that the reviewed terms provide no stronger direct-redemption timing commitment.

For a treasury that must pay a supplier in bank dollars, there are three economically distinct routes:

The second route can avoid waiting for the fund by transferring the waiting period to a buyer. The third finances that period. Neither removes the economic cost of supplying cash. A claim of instant liquidity must identify who supplies it, in what currency, at what size and price.

The endpoint is decisive. A token or stablecoin that cannot satisfy a bank-dollar invoice still requires conversion and payout. Conversely, if an existing obligation can be settled directly with the fund token, redemption may be unnecessary. Our base-case treasury therefore measures time until the required payment can be completed, rather than time until a blockchain transaction confirms.

3. Distribution costs can dominate the return

The same-date factsheets provide a useful check on the economics of a short holding period:

These are manager-published historical returns, rounded to two decimals, not forecasts or executable quotes. The tokenized factsheet applies a 1% initial sales charge; the conventional factsheet applies zero. [2] [3]

Before that charge, the difference is just three basis points for the quarter. After the displayed charge, it is 104 basis points. The observation does not show that blockchain reduced investment performance. It shows that the investor's distribution terms can matter far more than the small return difference between the portfolios. A waived charge changes that comparison immediately.

The tokenized Product Highlights Sheet allows a subscription fee of up to 1% from June 7, 2026 and notes potential additional distributor charges. This is a published allowance, not proof that every buyer pays the maximum. [5] The conventional sheet lists Class A's current entry charge at zero, with a higher permitted maximum. [4] The economically relevant input is the quote for the investor's actual channel and share class.

Recurring charges also require care. The July factsheets show a 0.20% total expense ratio for the tokenized class and a 0.25% ongoing charges figure for the conventional class. The newer fund's factsheet allows an estimate when fewer than 12 months of history are available. These figures exclude some costs and do not establish a permanent five-basis-point advantage. [2] [3]

For the historical return comparison above, fund expenses are already reflected in performance. Subtracting the displayed expense ratios again would double-count them. For forward economics, the model below uses an assumed net carry difference, with incremental transaction and service costs handled separately.

4. How many days are worth paying for?

Consider USD 1 million that can earn an additional 4% per year instead of sitting in a zero-yield balance. If tokenization genuinely keeps that whole amount productive for three extra calendar days, the incremental income is:

USD 1,000,000 × 4% × 3 / 365 = USD 328.77.

That is 3.29 basis points of principal. This is a scenario, not a measured advantage of either fund. The 4% input is a net opportunity-cost assumption, not a quoted yield. If the alternative cash balance earns 2%, while the productive balance earns 4%, the relevant difference is 2% and the benefit halves.

Let P be the affected principal, r the annual net carry difference, d the calendar days of idle time avoided, and f the incremental one-time cost as a fraction of that principal. The timing-only benefit is P × (r × d / 365 − f). The break-even number of days is 365 × f / r when r is positive.

At the assumed 4% carry difference, a ten-basis-point incremental charge requires 9.13 days of additional productive use. A 100-basis-point charge requires 91.25 days. A three-day improvement cannot cover either hurdle on timing income alone. If no idle time is removed, this component of value is zero even when the transfer itself is fast.

Panasia calculations on USD 1 million, simple ACT/365 accrual, before incremental transaction and service charges. These are calendar days of additional productive use, not fund settlement promises.

This comparison is deliberately favourable to the tokenized route: it assumes the affected cash would otherwise earn nothing at the 4% setting, is entirely deployable, and can be used for the required payment at the end. Conversion spreads, market impact and operating costs reduce the available budget. Avoided failed-payment penalties or operational labour can increase total value, but must be added as separate, evidenced benefits.

Repeated use changes the economics

A one-time setup or acquisition fee can be amortised over many uses of the same holding. A per-transfer fee cannot. Distinguishing those two cost types is essential for a treasury product.

Assume the same USD 1 million pool avoids three idle days each month, for 12 non-overlapping cycles. At a 4% carry difference, using the entire pool each time creates USD 3,945.21 of annual gross benefit. If only one quarter of the pool is needed in those cycles, the benefit falls to USD 986.30. That is the maximum annual budget for all incremental costs before the timing benefit disappears.

The annual benefit is P × utilisation × r × days per cycle × cycles / 365. The model assumes a constant pool, simple accrual and no overlap between saved periods. It is not trading volume: moving the same token repeatedly does not multiply income unless it removes distinct periods of idle cash.

This produces a practical product-design threshold. Under the quarter-utilisation scenario, a ten-basis-point annual platform charge on the whole USD 1 million pool costs USD 1,000 and exceeds the USD 986 benefit before any transfer charges. An identical technology priced per actively used balance could have different economics. The relevant adoption metric is productive balance-days added, rather than gross token transfer volume.

5. Collateral creates financing capacity, with a price

An additional use for a money-fund token is already described in a specific Asian distribution context. In February 2026, DigiFT and Secured Finance announced that eligible users could pledge DigiFT-acquired UBS uMINT to access supported on-chain liquidity, including USDC and JPYC, subject to eligibility and platform terms. This is an integration announcement; it does not disclose a financing-volume history or a universal borrowing quote. It also does not establish collateral acceptance for the Franklin fund examined above. [8]

The mechanism deserves its own calculation. Assume an eligible investor holds USD 1 million of a qualifying fund token, borrows USD 800,000 at an 80% loan-to-value ratio, earns 4% net on the fund, and pays 6% annual interest on a three-day loan. All rates, the loan-to-value ratio and the loan's availability here are hypothetical.

Panasia calculations, simple ACT/365, excluding transaction charges, conversion, collateral haircuts beyond the assumed loan-to-value ratio and liquidation costs.

Crediting income on the entire USD 1 million against the loan would misstate the incremental benefit: the USD 200,000 not needed for payment could stay invested under either route. The correct comparison retains income only on the amount that would otherwise be sold.

Borrowing can still be useful when redemption cannot meet a deadline. The USD 131.51 is then a price for earlier financing, not evidence of free liquidity. A conventional credit line at the same effective rate and speed would provide the same financial service; the tokenized route must improve access, operational execution or total cost to win the comparison.

Collateral also commits more assets than the cash raised. The hypothetical USD 800,000 loan encumbers USD 1 million, and a lender may require more collateral or liquidate after a valuation change. Repayment needs its own cash source. A product that solves today's payment by creating an unplanned future funding need has shifted the problem, even if the initial transaction worked perfectly.

6. Where the evidence supports adoption

For the defined treasury, the conventional fund remains a demanding benchmark. The reviewed pair does not establish a reason to pay a tokenization premium for ordinary fund holding and direct bank-cash redemption. This is a conclusion about the evidence and use case, not a universal ranking of tokenized funds.

The strongest case for tokenized money funds is therefore a recurring workflow in which investment exposure stays useful between investment and payment. Its economics depend on counterparties and utilisation. Merely putting a fund in a wallet does not demonstrate either.

Our assessment would change with evidence that an eligible user can complete a specified payment sooner at a competitive all-in price. A useful validation would record the same payment amount and endpoint across both routes, capturing order acceptance, usable-cash arrival, itemised charges and any failed attempts. Repeated observations around cutoffs and non-business days would distinguish a dependable service from a favourable demonstration.

For providers, the implication is concrete: price the workflow against the capital it releases, publish executable exit and collateral terms, and measure saved balance-days. For researchers, the burden is equally clear: an adoption claim needs a counterfactual with the same payment endpoint. That is the difference between documenting tokenization and demonstrating its value.

Method and boundaries

Sources were reviewed on September 12, 2026. Product terms come from the named Singapore disclosure sheets; the return comparison uses both A (acc) USD factsheets dated July 31, 2026. The sample is purposive and limited to one manager's two products. No authenticated investment, redemption or borrowing was conducted, and provider-reported figures have not been independently audited. The source register identifies document locations and distinguishes published terms, reported performance and Panasia scenarios.

The downloadable model uses simple ACT/365, USD and unrounded intermediate values. Displayed outputs are rounded to two decimals; one basis point equals 0.01%. The timing model assumes otherwise comparable exposure and a positive net carry difference. It omits compounding, tax, changes in NAV and unquoted service costs; those exclusions make its output a budget for additional costs, not an investable return forecast. The comparison does not remove the funds' capital risk. Conclusions apply to the defined workflow and change when access, charges, endpoints or financing alternatives change.

References

[1] Franklin Templeton. MAS approval and the comparable investment objectives. May 15, 2025. Product design, Singapore VCC and USD 20 minimum.

[2] Franklin Templeton. OnChain U.S. Dollar Short-Term Money Market Fund, A (acc) USD: factsheet. July 31, 2026. Page 1: identifiers, charges and returns; page 2: expense-ratio definition.

[3] Franklin Templeton. U.S. Dollar Short-Term Money Market Fund, A (acc) USD: factsheet. July 31, 2026. Page 1: identifiers, charges and returns; page 2: ongoing-charge definition.

[4] Franklin Templeton. Conventional fund: Product Highlights Sheet. Prepared May 29, 2026. Pages 3-4: fees, sale proceeds, cutoff and dealing calendar.

[5] Franklin Templeton. OnChain fund: Product Highlights Sheet. Prepared May 12, 2026. Pages 1, 3-5: register, subscription fee change, redemption and definitions.

[6] Franklin Templeton. Valuation Day definition notice. January 2024. Reviewed alongside the conventional fund's subsequent Product Highlights Sheet; the USD fund calendar remains tied to NYSE business days. Used for the source-register calendar check.

[7] Marketnode. Appointment to distribute Franklin Templeton's OnChain money fund. March 31, 2026. Authorised distribution announcement; not a secondary-liquidity commitment.

[8] DigiFT / Secured Finance. DigiFT-distributed tokenized assets as eligible collateral. February 5, 2026. uMINT integration, supported liquidity assets and eligibility conditions.

One payment story.
Three different businesses.

Stablecoins can fund a wallet, connect a company’s token balance to fiat payouts, or sit between settlement partners. Start with the product people use: the same technology changes a different part of the business in each case.

Grab / Triple-A Consumer wallet funding

A token balance becomes
an everyday purchase.

A familiar wallet is the starting point. The user is funding spending inside Grab; the product does not require the everyday purchase to end in cryptocurrency.

1. Choose digital payment tokens as the top-up method.
2. Enter the top-up amount in SGD and confirm from a crypto wallet.
3. The wallet shows the completed top-up in SGD.

Triple-A describes digital-currency funding for a familiar wallet. Its account says Grab receives SGD and bank settlement follows the next day. The supported assets include BTC and ETH as well as stablecoins. [3]

Where to look for valueAccess to a customer’s existing balance. A faster token leg does not establish faster merchant bank settlement, or a stablecoin-specific growth effect.

These are distinct products, not a provider ranking. The complete study also examines Coins.ph / Circle, tokenized deposits and programmable vouchers. Explore all six programs ↓

Key takeaways

• Reserve coverage and timely cash delivery answer different questions. The HKMA guideline distinguishes the reserve pool from the redemption mechanism. [1]
• In a hypothetical HKD 100m arrangement with HKD 102m of reserves but HKD 10m accessible cash, a 20% redemption wave leaves a HKD 10m immediate cash gap.
• Issuer plans describe distribution designs, not measured redemption outcomes. A useful test records the full interval from request to usable bank funds.

An issuer can hold assets worth more than all outstanding tokens and still need time to deliver bank money. For a company using stablecoins to meet an invoice, the relevant balance is the cash accessible before the deadline. This paper separates three questions that are often collapsed into a single claim of backing: whether assets cover liabilities, whether cash can be mobilized on time, and whether this holder has an operational path to receive it.

Our contribution is a reproducible liquidity model, informed by Hong Kong's supervisory framework and two dated issuer announcements. In a hypothetical HKD 100 million arrangement with HKD 102 million of reserves, a 20% redemption wave can leave a HKD 10 million immediate cash gap when only HKD 10 million is accessible. The arrangement is overcollateralized in the example; the payment queue still matters. This is a conditional result, not an assessment of a named issuer's reserves or a prediction of a run.

1. Three balances, three different questions

Define outstanding tokens at their reference value as L, total reserve market value as R, and cash deliverable through the redemption route before a chosen deadline as C. Reserve coverage is R/L. It compares asset value with a liability. Immediate cash coverage is C/Q, where Q is the value of valid requests due by that deadline. These ratios have different denominators because they answer different questions.

The distinction is useful even without a crisis. A business that buys a token on a secondary venue may not use the same withdrawal process as a distributor with a direct issuer account. A token credited to a wallet and money credited to a bank account are different endpoints. A research report that records only reserve composition leaves the second endpoint unmeasured.

We define the redemption gap as the amount of a specified request cohort that cannot be funded before its specified deadline using accessible cash and eligible incoming liquidity. The term is analytical. It is not a statutory ratio or a claim that a product has breached an obligation. A deadline must be chosen first: an internal treasury deadline, a contractual promise and a supervisory processing expectation are not interchangeable.

2. What the public rules establish

Hong Kong's August 2025 supervisory guideline requires reserve market value at least equal to outstanding par value and expects an appropriate buffer. It distinguishes reserve management from redemption arrangements. Paragraph 3.3.3 generally expects valid requests to be processed within one business day after the day of receipt, unless otherwise approved. The qualifications concerning validity, reasonable fees and prior regulatory consent matter; the wording is not an unconditional promise of instant bank credit. Paragraphs 3.3.1-3.3.2 address redemption and insolvency rights, including an independent legal opinion. [1]

The FSB's July 2023 recommendations similarly treat governance, risk management, recovery and redemption rights as separate components of a stablecoin arrangement. They call for robust legal claims and timely redemption, with par redemption into fiat for single-currency arrangements. These are recommendations to authorities, not a substitute for a product contract or a global licence. [2]

Singapore provides a useful historical comparator. MAS's August 2023 framework announcement specifies a five-business-day par-redemption requirement for the single-currency stablecoins within its defined scope. We use that announcement to show why a numerical processing window must be read with its jurisdiction, scope and date. This paper does not treat the announcement as verification of the current licensing or operating status of any Singapore product. [7]

Our inference is narrower than a jurisdictional ranking: comparable evidence needs the same start and end events. A request submitted, a request accepted as valid, a token returned to the issuer and bank funds becoming usable can occur at different times. Ranking products by one headline number before aligning those events would measure documentation choices as much as payment performance.

3. Distribution changes the observed route

On 10 April 2026, HSBC announced its Hong Kong stablecoin issuer licence and a planned launch in the second half of 2026. Its selected release describes intended integration into PayMe and the HSBC HK App, with payments and tokenized investments among the planned uses. The statement is evidence of the licence and product plan at that date. It does not supply a series of completed redemptions or demonstrate the final launch status as of this paper. [4]

Standard Chartered's announcement on the same date describes Anchorpoint's licence and a planned B2B2C distribution model for HKDAP, using selected authorized distributors. This is a different distribution design from an application-centered proposition. The release does not disclose each distributor's redemption contract, cash inventory or service-level results. [5]

A June 2026 government reply provides an important intermediate observation. It states that the two licensed issuers needed to complete technology testing, risk arrangements and other preparations before official business launch. This prevents a licence date from being silently recoded as the date of full service availability. We retain the dated observations rather than infer what happened afterwards. [3]

For an empirical study, distribution is a variable to measure rather than a reason to declare one design superior. An integrated bank application might simplify account matching. A distributor network might widen access. Either could also change where operational work sits. The question is whether the end customer can identify the entity accepting the request, the asset owed, the fees, the exceptions and the completion timestamp.

4. A fully backed balance sheet can have a cash queue

Consider a deliberately simplified arrangement. Tokens outstanding are HKD 100 million. Reserves have a market value of HKD 102 million: HKD 10 million is immediately accessible cash and HKD 92 million is securities that cannot produce settled cash before the chosen deadline. No new issuance receipts, credit lines or securities-sale proceeds arrive inside that window. The example assumes no default and initially no price change.

For a redemption fraction q of outstanding tokens, requests equal Q = q × L. Immediate funding equals the lesser of Q and C. The uncovered amount is max(Q − C, 0). Opening reserve coverage is 102%. Request coverage below is the share paid immediately, min(C, Q) / Q, capped at 100%.

These rows are scenario arithmetic, not observed issuer data. The securities remain assets even when their proceeds arrive later. Calling the cash gap an asset shortfall would therefore misstate the example. Equally, reporting only the 102% reserve ratio would omit the deadline. Both statements can be true: the balance sheet has a positive buffer, and some requests cannot be funded inside the selected window without another source of liquidity.

The model also exposes what would falsify the apparent bottleneck. If HKD 15 million of reliable incoming cash arrives before the deadline, the 20% request cohort is fully funded. If a committed facility can be drawn in time, accessible liquidity rises. If the contractual deadline is later than securities settlement, the same opening balance sheet can meet that later deadline. Those are changes to assumptions, not contradictions of the calculation.

Timing should be modeled as a schedule

For each time interval t, use opening cash C(t), eligible inflows I(t), and requests due Q(t). The paid amount is limited by available cash; unfilled requests carry forward. Once a security is sold, record the proceeds at settlement rather than at trade execution. Once a facility is drawn, record both the cash and the new repayment obligation. A reconciliation that increases available cash without recognizing the corresponding liability overstates the improvement.

Do not count new minting receipts as permanent rescue capacity. If new tokens are issued against those receipts, liabilities rise as well. Net inflows can help a short window, but their absence should be tested independently. A robust exercise should also distinguish committed facilities from indicative quotations and legally segregated cash from cash held elsewhere in an organization.

5. The price of replenishing cash

The next question is how much reserve value is consumed when the cash gap is filled. Suppose the arrangement must raise HKD 10 million by selling securities, and net proceeds are 99.5% of their pre-sale reference value. Securities worth 10 / 0.995 = HKD 10.050251 million must be sold. The incremental loss is approximately HKD 50,251. This is an assumed execution discount, not a market quote.

After paying HKD 20 million in total redemptions, reserves are about HKD 81.949749 million and tokens outstanding are HKD 80 million. The remaining buffer is about HKD 1.949749 million. The accounting identity is important: paying a redemption reduces both assets and token liabilities, while the execution loss reduces the buffer. Subtracting the entire redemption from the buffer would be incorrect.

The starting value must be defined consistently. If reserve market value already incorporates the same execution discount, applying it again would double-count the loss. Here the discount represents an additional cost relative to the opening reference valuation. The calculation assumes the remaining securities retain their reference value; a portfolio-wide price shock would require revaluing them too.

This creates two independent stress axes: time to accessible cash and deterioration in realizable value. A fast sale at a material discount may solve the first while worsening the second. A high-quality portfolio with slow operational release may show the reverse. Combining both axes produces a more informative test than a single reserve-percentage headline.

6. The economics of a larger cash sleeve

Holding more immediately accessible cash reduces the modeled gap but can carry an opportunity cost. If an extra HKD 10 million is held in cash earning 1% rather than assets earning 3%, the assumed annual income difference is HKD 200,000. Relative to HKD 100 million of outstanding tokens, that is 20 basis points per year. It is a cost of these selected assumptions, not evidence that any issuer earns those rates or should choose that allocation.

A useful decision model compares that annual cost with expected benefits: fewer delayed requests, lower emergency funding costs, less forced selling and operational resilience. These benefits cannot be assigned arbitrary monetary values and then presented as measured savings. If event frequencies and loss severity are unknown, report a break-even condition instead. For example, HKD 200,000 of annual avoided costs would offset the assumed income difference; the paper does not estimate the probability of achieving it.

The wider monetary context also matters. The BIS's 2025 framework distinguishes tokenized central bank reserves, commercial bank money and other digital claims when discussing settlement design. Moving a record onto a programmable platform does not make these different liabilities economically identical. We use that distinction to motivate identifying the final asset owed to the holder, not to rank the resilience of the two issuer plans above. [6]

7. What an actual test would need to record

A useful dataset would begin with every request in a defined observation period, including cancelled, rejected and delayed requests. Record submission, validation, token receipt, payout instruction and usable-bank-credit times, along with reason codes and fees. A median computed only from successful automated requests would understate the experience of users whose cases enter manual review.

Pair that request log with a time-stamped liquidity schedule. It should identify cash by custodian and currency, security trades and their settlement dates, committed facilities and draw conditions, and operational outages. The two records allow an analyst to distinguish a cash shortage from an identity-check delay, incorrect bank details or a payment-system interruption. Each has a different remedy and should not be compressed into a single blockchain latency number.

Compare like with like. A customer who is already onboarded should be separated from a first-time holder. Weekday requests should not be compared unadjusted with weekend requests. Large institutional requests may use different paths from small app withdrawals. Publish cohort sizes, percentile completion times and the share still unresolved at the observation cutoff. This is a proposed study design; no such issuer-level dataset was obtained for this paper.

The central hypothesis would weaken if deadline-specific accessible liquidity added no explanatory value after controlling for request validity and operating interruptions. It would strengthen if cash mobilization consistently explained the tail of completion times. Either outcome would be more useful than treating asset backing as a complete measure of customer liquidity.

Method, limits and conclusion

This is a public-source analytical paper with an explicit hypothetical balance sheet. Source selection is purposive: a supervisory guideline, international policy work, dated issuer plans and an official implementation update. The seven references are not seven independent empirical observations. The two firms are research subjects; the paper implies no relationship with or endorsement of Panasia.

The calculation workbook is supplied as CSV with unrounded values, assumptions and formulas. It excludes interest accrual during the short stress window, taxes, bank failure, FX mismatch, operational capacity limits and feedback from token-market prices. Adding those effects could materially change results. No customer transactions, internal reserve records, legal opinions or confidential contracts were reviewed. Regulatory passages provide dated context rather than a product-specific legal conclusion.

The defensible finding is conditional and operational: full asset backing and timely cash delivery are distinct tests. A buyer should be able to follow both the claim and the cash route. A future empirical paper should measure the entire redemption interval, rather than use reserve coverage or token-transfer speed as a proxy for the endpoint that the holder actually needs.

References

[1] Hong Kong Monetary Authority. August 2025. Guideline on Supervision of Licensed Stablecoin Issuers, paragraphs 2.2.1 and 3.3.1-3.3.5. Final supervisory guideline.

[2] Financial Stability Board. 17 July 2023. High-level Recommendations for the Regulation, Supervision and Oversight of Global Stablecoin Arrangements: Final report. Recommendations.

[3] HKSAR Government. 10 June 2026. LCQ6: Development and regulation of stablecoins. Official reply.

[4] HSBC. 10 April 2026. HSBC welcomes HKMA's grant of a Hong Kong stablecoin issuer licence. Issuer announcement.

[5] Standard Chartered. 10 April 2026. Standard Chartered-backed Anchorpoint granted Stablecoin Issuer Licence by the Hong Kong Monetary Authority. Issuer-group announcement.

[6] Bank for International Settlements. June 2025. The next-generation monetary and financial system, Annual Economic Report, chapter III. BIS analysis.

[7] Monetary Authority of Singapore. 15 August 2023. MAS Finalises Stablecoin Regulatory Framework. Historical framework announcement; not used to certify present product status. Official release.

Key takeaways

• The selected government programme grew from HKD 0.8bn in 2023 to about HKD 10bn equivalent in 2025. Issue size is not a measure of cost savings. [1] [3]
• With assumed HKD 1.2m integration cost, HKD 300,000 annual maintenance and HKD 100,000 savings per issue, a three-year programme breaks even at seven issues per year.
• Faster exchange can still require more funded cash. Measure funding duration, netting and total participant costs alongside execution speed.

Hong Kong's government digital-bond programme expanded from HKD 800 million in 2023 to approximately HKD 10 billion equivalent in 2025. That is evidence that a sovereign issuer and its intermediaries can execute larger tokenized transactions. It is not, by itself, evidence that tokenization reduces an issuer's all-in cost. This paper asks a more specific question: which costs must fall, for whom, and over how many transactions, before a different settlement architecture pays for itself?

We compare three government issuance announcements, then build two transparent scenarios. The first tests how repeated issuance amortizes integration costs. The second measures how an increase in the cash required for settlement can offset operating savings. The cases document execution; the scenarios identify economic thresholds. No private fee schedules, order-level trading data or controlled conventional-versus-digital experiment are available in the selected record.

1. A programme can scale before its savings are measured

For an issuer, a financing cost is not the same as a settlement cost. Coupon pricing reflects maturity, currency, credit, market conditions and investor demand. Legal work, platform integration, custody, reconciliation and paying-agent services are additional costs. A tokenized instrument can change some of those operating tasks while leaving the issuer's fundamental credit unchanged.

The first analytical step is to choose the unit of comparison. This paper uses the incremental cost of operating a recurring issuance programme, holding the economic terms of the bonds constant in the illustrative model. That choice avoids treating a different interest-rate environment as a technology benefit. It also makes clear why a small first issue and a large repeat programme can reach different conclusions with the same software.

A second boundary is the participant. A process that saves work for an issuer may require new custody or cash arrangements for an investor. A settlement agent can absorb complexity into a fee. A credible cost comparison should record those transfers before describing savings for the market as a whole. We do not assume that all benefits accrue to the party funding the integration.

2. What the three issuances actually show

The February 2023 government announcement describes a one-year HKD 800 million tokenized green bond. Primary issuance used delivery versus payment between securities tokens and cash tokens representing an HKD claim against the HKMA, on a T+1 basis. CMU was the clearing and settlement system, using GS DAP. These are disclosed architecture and transaction facts, not a published invoice for the infrastructure. [1]

In February 2024, the government announced approximately HKD 6 billion equivalent of digital green bonds across HKD, RMB, USD and EUR. The official account highlights a digitally native format and the ability to access the bonds through traditional market infrastructure. Those features broaden the question from whether a token can be issued to how investors reach it. They do not establish that every participant uses a direct blockchain account. [2]

The November 2025 announcement records approximately HKD 10 billion equivalent, again across four currencies, with a T+1 cycle. For the HKD and RMB tranches, tokenized central bank money was an option alongside traditional settlement rails in primary issuance. The announcement also describes links between token identifiers and conventional securities identifiers. It does not say that all four currency tranches settled exclusively in digital central bank money. [3]

The progression is a selected series for one sovereign programme, not a measure of all Asian tokenized bonds. The approximate HKD equivalents are taken from announcements rather than retranslated at a common exchange rate. The three observations also share an issuer and an evolving institutional infrastructure. They cannot be treated as three independent experiments on technology performance.

A February 2026 government reply discusses further development of the bond market and the 2025 tokenized issuance. Its policy context reinforces that public infrastructure development has objectives beyond a single issuer's near-term invoice. We therefore separate demonstration value and market development from recurring commercial savings. Both can be valid objectives, but they require different measures. [7]

3. A shorter settlement interval is not automatically less funding

Delivery versus payment makes the exchange of securities and payment conditional on one another. That reduces exposure to completing only one side of an exchange. It does not answer how much cash each participant must have available at the moment of settlement, whether obligations can be netted, or what happens when a participant cannot deliver.

The BIS's 2020 analysis of securities settlement identifies an important trade-off: tokenized arrangements may increase gross settlement and fragment cash across ledgers, raising liquidity needs. Its 2023 monetary blueprint likewise notes that atomic settlement can need liquidity-saving mechanisms. We use these arguments as competing hypotheses about architecture, not as observations of the cash usage in Hong Kong's programme. [4] [5]

It follows that three clocks should be kept separate: the contractual settlement cycle, the elapsed time to complete an individual exchange, and the interval over which a participant must fund its obligation. T+1 identifies a cycle relative to a transaction date. A seconds-long execution at the end of that cycle does not establish that cash was required for only seconds.

The counterfactual is therefore not simply slow versus fast. It is one complete funding and settlement arrangement against another. A conventional netting process can require less cash but defer final exchange. A gross atomic process can complete exchanges quickly but require cash in advance. A design that combines conditional execution with effective netting might improve both. The paper's evidence does not establish which outcome prevailed for every investor in the selected issues.

4. How repeated issuance changes the threshold

Consider a hypothetical programme with the same bond terms and investor access under two operating designs. Let F be an incremental integration cost of HKD 1.2 million, A an annual incremental maintenance cost of HKD 300,000, and H an evaluation period of three years. Assume each issue avoids HKD 180,000 of conventional processing work but adds HKD 80,000 of digital platform, custody and operating charges. Net variable savings S are HKD 100,000 per issue.

Ignoring discounting for this short illustrative comparison, the incremental three-year cost of the digital route is F + H × A − H × N × S, where N is issues per year. A negative number means savings relative to the defined alternative. Break-even issuance frequency is N = (F/H + A) / S = 7 issues per year. These input values are selected assumptions, not fees reported by CMU, HSBC, Goldman Sachs or the government.

This simple result explains why an issue-by-issue comparison can mislead. Charging all integration work to the first bond understates the value of reuse. Assuming unlimited reuse understates the risk that a platform, legal structure or investor requirement changes. A defensible programme case needs a realistic schedule, consistent scope and a plan for the residual system if issuance stops.

The horizon is itself a sensitivity. With a one-year horizon, the same assumptions need 15 issues to break even. With five years, the annual threshold is 5.4 issues, which means at least six whole issues a year under a uniform schedule. The change is arithmetic, not a forecast of adoption. Technology replacement, maintenance escalation and discounting would make a long-horizon estimate more demanding.

Issue size matters only through the costs it actually changes. Doubling principal does not automatically double a fixed legal or integration saving. A percentage-based custody charge does scale with principal. Separate fixed, per-issue, per-investor and proportional costs rather than force them into one basis-point number. Otherwise a larger bond can look more efficient simply because a fixed cost was divided by a larger denominator.

5. Grants and economic savings should be reported separately

Hong Kong launched its Digital Bond Grant Scheme in November 2024, with a maximum grant of HKD 2.5 million per eligible issuance subject to the scheme's requirements. That is a policy instrument with eligibility conditions, not an automatic payment to every digital bond. Our model does not assume the maximum grant or determine whether an issuer qualifies. [6]

A subsidy can improve the issuer's cash economics while leaving the underlying resources consumed by the process unchanged. Report both numbers: the operating comparison before subsidy, and the issuer's out-of-pocket comparison after an actually approved amount. A business that only breaks even with support may still be worth piloting, but its recurring commercial case should not be presented as already proven.

For illustration only, a one-time HKD 600,000 contribution toward the model's integration cost would lower the three-year frequency threshold from seven to five issues per year. That is (600,000 / 3 + 300,000) / 100,000 after reducing F to HKD 600,000. It is not an estimate of an award under the actual scheme. Timing of receipt and eligibility expenditure would need to be added to a real cash-flow model.

The same discipline applies to internal cross-subsidy. If a platform provider discounts an initial programme to establish market share, the buyer's current contract may be attractive. The undiscounted recurring service still needs a credible business model. Research should identify the contractual duration of the discount and show the threshold after it expires instead of treating a launch promotion as a permanent structural saving.

6. A liquidity sensitivity can reverse the operating result

Now isolate one investor's settlement funding. Suppose the old arrangement requires HKD 20 million of cash for one calendar day, while the new arrangement requires HKD 100 million for the same day. At an assumed annual funding rate of 4%, the additional funding cost is (100m − 20m) × 4% / 365 = HKD 8,767.12. The 80% reduction implicit in the old arrangement is an assumption used to test netting; it is not measured in the government issues.

If the new design shortens the period requiring the full HKD 100 million to 0.2 of a calendar day, the two arrangements have equal cash-time exposure in this simplified model. Shorter than that, the digital route uses less funded cash-time; longer than that, it uses more. A unit conversion is essential: calendar-day fractions in an ACT/365 calculation should not be substituted directly for a platform's operating hours or business-day cutoff.

This sensitivity is a participant-level comparison. It should not be added mechanically to the issuer programme model because the costs may fall on different entities and because netting benefits can be redistributed. A market-wide study would consolidate participants, remove transfers such as one party's fee and another party's revenue where appropriate, and retain real resource and financing costs without double-counting.

A credit facility can also reduce prefunding without eliminating its price. Count commitment charges, drawn interest and collateral requirements. If funding is free only under a central bank pilot or an internal treasury policy, document that condition. The useful design question is how fast exchange, netting, collateral and cash availability work together, not whether an isolated ledger records transfers quickly.

7. The evidence needed to make a savings claim

A stronger empirical study would compare repeat issues with similar currency, tenor, size, rating, investor mix and market conditions. Collect legal and platform invoices, custody arrangements, internal staff time, failed-settlement interventions and paying-agent costs. Document whether any task has been eliminated, automated, shifted to another organization or retained as a parallel control.

Settlement data should include funding arrival, securities availability, final exchange and the time funds can be reused. Report the distribution, not only the best execution. Count exception cases and specify whether the obligation is gross or net. Separate primary issuance from secondary trading: a successful primary distribution cannot establish liquid resale markets or low bid-ask spreads afterwards.

For financing cost, match against a credible conventional benchmark rather than compare coupons from different years. A spread difference can reflect supply, scarcity, investor preferences or subsidy as well as process changes. If there is no convincing counterfactual, publish the spread as an observation and leave its cause open. A regression with too few or poorly matched issues would create apparent precision without identifying tokenization's effect.

The central hypothesis is testable: repeated use should improve economics where reusable fixed work is material and net variable savings remain positive. It would weaken if integrations had to be rebuilt for each issue or if investor-support costs rose enough to offset automation. The liquidity hypothesis would weaken where the new design preserves netting or sharply shortens required cash holding. Those are specific observations a subsequent study could obtain.

Method, limits and conclusion

The corpus consists of three official issuance accounts, one government policy reply, one grant announcement and two BIS analyses. The sources were reviewed on 12 September 2026. This is a purposive study of a Hong Kong programme, not an Asian market census. The announcements are informative about structure and scale but do not contain the cost dataset necessary for a causal estimate. Approximate issue sizes are deliberately not converted into a total-market growth rate.

All monetary scenarios are Panasia calculations. The downloadable CSV retains inputs, formulas and unrounded outputs. The models use simple ACT/365 funding cost, no compounding, a fixed issuance schedule and constant assumed fees. They omit taxes, credit losses, software replacement, legal changes and residual asset value. Their purpose is to show thresholds and accounting boundaries, not to predict the economics of a named platform.

The research does not establish that tokenization is cheaper or more expensive in general. It establishes why the answer depends on programme frequency, reusable work, investor access and cash-time exposure. The reviewed issuance record supports the ability to execute and extend tokenized structures. A publishable claim of savings requires the next layer of evidence: matched costs and funding outcomes over the full lifecycle, including the work that remains outside the ledger.

References

[1] HKSAR Government. 16 February 2023. HKSAR Government's Inaugural Tokenised Green Bond Offering. Official issuance announcement.

[2] HKSAR Government. 7 February 2024. HKSAR Government's Digital Green Bonds Offering. Official issuance announcement.

[3] HKSAR Government. 11 November 2025; pricing dated 10 November. HKSAR Government's Third Digital Green Bonds Offering. Official issuance announcement.

[4] Bank for International Settlements. March 2020. On the future of securities settlement. BIS Quarterly Review analysis.

[5] Bank for International Settlements. June 2023. Blueprint for the future monetary system: improving the old, enabling the new. Annual Economic Report, chapter III.

[6] Hong Kong Monetary Authority. 28 November 2024. HKMA launches Digital Bond Grant Scheme. Official announcement.

[7] HKSAR Government. 4 February 2026. LCQ12: Consolidating Hong Kong's position as a bond market hub. Official reply.