Competition Law and Future Regulation of Synthetic Asset Economies

1. Introduction

A synthetic asset economy is an economic system in which financial or real-world economic exposure is created, represented, traded, collateralised, or transferred through digital instruments rather than through direct ownership of the underlying asset.

Examples include:

• tokenised securities;
• synthetic stocks and bonds;
• synthetic commodities;
• stablecoins and asset-referenced tokens;
• tokenised real estate;
• synthetic derivatives;
• wrapped or bridged assets;
• tokenised carbon credits;
• synthetic indices;
• DeFi derivatives;
• tokenised deposits and money-market instruments; and
• platforms that combine custody, issuance, trading, settlement and pricing.

The competition-law problem is therefore broader than whether a cryptocurrency exchange has market power. A synthetic asset economy may allow a single undertaking to control the asset, the data, the oracle, the wallet, the trading venue, the settlement infrastructure and the user interface simultaneously.

That creates the possibility of vertically integrated digital financial ecosystems in which competition can be restricted without conventional price increases.

The EU's MiCA framework itself recognises that regulatory fragmentation can distort competition and create regulatory arbitrage, while expressly seeking fair competition and equal opportunities for market entry.

A key qualification is important: there are still relatively few final competition-law judgments dealing specifically with synthetic assets. Consequently, established antitrust cases concerning digital platforms, financial markets, essential facilities, data and vertical integration provide the principal doctrinal foundations, supplemented by emerging crypto litigation.

2. Meaning and Characteristics of Synthetic Asset Economies

A synthetic asset generally reproduces the economic exposure of another asset without requiring the holder to possess the underlying asset directly.

For example:

A token may give its holder economic exposure to the price of gold without the holder owning physical gold.

Similarly:

A synthetic equity token may reproduce the economic performance of a company's shares without transferring conventional legal title to the shares.

The synthetic economy can therefore be represented as:

Underlying Asset → Data/Oracle → Tokenisation Protocol → Trading Platform → Settlement/Custody → User

Competition problems can arise at every layer.

Principal characteristics

1. Digital representation of economic value
2. Programmability through smart contracts
3. Continuous or near-continuous trading
4. Dependence on data and price oracles
5. Network effects
6. Interoperability between protocols
7. Liquidity concentration
8. Multi-sided platform structures
9. Algorithmic pricing
10. Cross-border operation

3. Competition-Law Issues

A. Market Definition

Traditional market definition becomes difficult because synthetic assets can compete with several conventional products simultaneously.

For example, a token representing exposure to gold may compete with:

• physical gold;
• gold ETFs;
• futures;
• CFDs;
• investment funds; and
• other tokenised gold products.

The relevant market may therefore have several dimensions:

Product market

Possible markets include:

• synthetic asset issuance;
• tokenisation services;
• trading;
• custody;
• settlement;
• oracle services;
• collateral services;
• liquidity provision.

Geographic market

Digital asset markets can be global, but regulatory barriers, licensing requirements, currency restrictions and access to banking infrastructure may make the relevant market regional or national.

Temporal dimension

Synthetic asset markets may change extremely rapidly because protocols can gain or lose liquidity within a short period.

4. Market Power and Network Effects

Synthetic asset platforms exhibit strong direct and indirect network effects.

More traders create:

→ greater liquidity

→ greater liquidity attracts more issuers

→ more issuers create more assets

→ more assets attract more users

→ more users produce more trading data

→ more data improves the platform.

This creates a potential self-reinforcing competitive advantage.

A platform controlling a major synthetic asset market could therefore possess market power even if transaction fees remain low or zero.

The relevant competitive parameter may instead be:

• liquidity;
• execution quality;
• access to data;
• interoperability;
• collateral availability;
• settlement speed;
• visibility;
• developer access; and
• user switching costs.

5. Data as a Competitive Asset

Synthetic markets are unusually dependent on data.

A platform may possess:

• transaction data;
• order-book data;
• wallet information;
• collateral information;
• price information;
• liquidation data;
• user behaviour data;
• oracle information; and
• proprietary market analytics.

This produces the possibility of cumulative information advantages.

A dominant platform could theoretically use proprietary trading data to:

1. improve its own algorithms;
2. identify profitable customer strategies;
3. favour affiliated products;
4. discriminate against competitors;
5. manipulate visibility; or
6. develop competing synthetic assets.

Thus, data access can become an antitrust issue independently of the price charged for the service.

6. Oracle Infrastructure and Competition

An oracle supplies external information to a blockchain or smart contract.

For example:

A synthetic gold token may require an oracle to determine the current gold price.

If one undertaking controls the principal oracle, it could potentially influence:

• token valuation;
• collateral requirements;
• liquidation;
• margin calculations;
• settlement;
• index construction.

The oracle may consequently become a bottleneck infrastructure.

Future competition regulation may therefore treat important financial oracles similarly to other essential digital infrastructure where the legal requirements for intervention are satisfied.

7. Essential-Facility Problems

The traditional essential-facilities doctrine becomes relevant where competitors cannot realistically operate without access to an indispensable infrastructure.

Potential synthetic-asset facilities include:

• dominant tokenisation networks;
• major custody systems;
• settlement rails;
• interoperability bridges;
• price oracles;
• dominant stablecoins;
• benchmark indices;
• trading interfaces.

The key questions would be:

1. Is the facility genuinely indispensable?
2. Is there no practical alternative?
3. Can the infrastructure be replicated?
4. Does the operator have market power?
5. Is access being refused or degraded?
6. Is there an objective justification?
7. Is access technically feasible?

8. Vertical Integration

Synthetic-asset platforms can integrate multiple functions:

Issuance + Exchange + Custody + Wallet + Oracle + Settlement + Liquidity

Vertical integration is not inherently unlawful.

The competition concern arises where the integrated undertaking uses control at one level to disadvantage competitors at another level.

Examples include:

• exchange favouring its own synthetic tokens;
• wallet refusing competing tokens;
• oracle excluding rival platforms;
• exchange charging discriminatory listing fees;
• custody service denying access to rival exchanges;
• settlement infrastructure imposing discriminatory conditions.

9. Self-Preferencing

Suppose a dominant exchange operates its own synthetic-asset issuer.

It could potentially rank its own token:

above competing synthetic assets.

Possible forms of self-preferencing include:

• higher search ranking;
• lower transaction fees;
• preferential liquidity;
• faster settlement;
• better collateral treatment;
• preferential API access;
• preferential oracle access.

This resembles problems already examined in digital-platform competition law.

10. Tying and Bundling

Synthetic economies are particularly vulnerable to tying.

For example:

A dominant exchange could require users purchasing a synthetic asset to use its proprietary wallet and stablecoin.

Possible bundles include:

• exchange + wallet;
• wallet + stablecoin;
• token + oracle;
• token + custody;
• token + settlement;
• synthetic asset + proprietary liquidity pool.

The competition inquiry would examine market power, separate products, coercion or inducement, foreclosure effects and possible efficiencies.

11. Interoperability and Switching Costs

Interoperability is fundamental to synthetic asset competition.

A platform may attempt to prevent users from moving assets between:

• competing wallets;
• blockchains;
• exchanges;
• custodians;
• DeFi protocols.

Technical restrictions can therefore become economically equivalent to contractual exclusivity.

Future regulation may require dominant platforms to provide:

• standardised APIs;
• portability;
• interoperable wallets;
• transparent token standards;
• non-discriminatory technical access.

12. Stablecoins as Competitive Infrastructure

Stablecoins may become particularly important because synthetic markets require stable units of account and collateral.

A dominant stablecoin issuer could potentially acquire market power in:

• settlement;
• collateral;
• liquidity;
• payments;
• exchange trading.

MiCA specifically regulates asset-referenced tokens and e-money tokens and provides special treatment for significant tokens.

The EU framework also recognises the possibility that widely adopted asset-referenced tokens could create financial and payment-system risks.

From a competition perspective, this raises the possibility of infrastructure dominance through a token.

13. Six Important Case Laws

1. United States v. Microsoft Corp., 253 F.3d 34 (D.C. Cir. 2001)

Principle

Microsoft is a foundational authority concerning:

• platform power;
• exclusionary conduct;
• technological integration;
• interoperability;
• network effects.

Microsoft used its control over the operating-system platform to restrict competitive threats.

Relevance to synthetic assets

A dominant blockchain or synthetic-asset platform could similarly use control over infrastructure to disadvantage competing applications.

For example:

A dominant tokenisation platform could make competing protocols technically incompatible with its ecosystem.

The Microsoft reasoning demonstrates why conduct involving technical architecture can have competitive significance even when no traditional price increase occurs.

2. Google Shopping, Case AT.39740, European Commission (2017)

Principle

The European Commission found that Google had abused its dominant position by systematically giving prominent placement to its own comparison-shopping service while giving competing services inferior placement.

Relevance

Synthetic-asset platforms could engage in similar conduct.

For example:

Platform's own synthetic token → preferential display → greater trading volume → greater liquidity → stronger market position.

The case illustrates the competitive importance of ranking and visibility in digital markets.

3. Bronner v. Mediaprint, Case C-7/97, Court of Justice of the European Union

Principle

The CJEU established a stringent framework for refusal-to-supply claims under the essential-facilities doctrine.

Indispensability is particularly important.

Relevance

A synthetic-asset competitor might claim that it needs access to:

• a dominant oracle;
• settlement system;
• liquidity pool;
• token bridge;
• trading infrastructure.

Bronner cautions against treating every commercially desirable input as an essential facility.

4. Oscar Bronner / Magill line of cases

The broader European essential-facilities jurisprudence, particularly RTE and ITP v Commission (Magill), demonstrates that compulsory access to infrastructure or intellectual property requires carefully defined conditions.

Relevance

If a dominant synthetic-asset infrastructure operator controls an indispensable data feed or interoperability layer, competition authorities would need to distinguish:

legitimate proprietary infrastructure

from

strategic exclusion of indispensable competitors.

5. Ohio v. American Express Co., 585 U.S. 529 (2018)

Principle

The Supreme Court treated credit-card networks as two-sided transaction platforms.

The analysis recognised the interaction between merchants and cardholders.

Relevance

Synthetic-asset exchanges can also be two-sided or multi-sided platforms:

Issuers ↔ Traders ↔ Liquidity Providers ↔ Custodians

Conduct affecting one side may affect the other.

For example, a platform could reduce fees for traders while increasing costs imposed on token issuers.

The case therefore illustrates why synthetic-asset competition cannot always be assessed by examining only one side of the platform.

6. Qualcomm Inc. v. FTC, 969 F.3d 974 (9th Cir. 2020)

Principle

The case concerned licensing practices, technological standards and competitive effects in a highly concentrated technology market.

The Ninth Circuit ultimately rejected the FTC's Sherman Act theory on the record before it.

Relevance

The case is nevertheless useful for synthetic assets because token ecosystems can depend on:

• technical standards;
• licensing;
• interoperability;
• proprietary protocols;
• access conditions.

The case illustrates that possession of valuable technology does not automatically establish an antitrust violation; the actual exclusionary mechanism and competitive effects must be established.

14. Emerging Crypto-Specific Competition Litigation

The synthetic-asset economy is beginning to produce cases much closer to the precise problem.

In re Tether and Bitfinex Crypto Asset Litigation

Recent litigation has involved allegations concerning USDT issuance, cryptocurrency prices and alleged antitrust injury. A 2026 federal court decision discusses expert evidence concerning the alleged relationship between USDT issuance and Bitcoin prices and addresses questions of antitrust injury and initial overcharge.

This is significant because it demonstrates that conventional antitrust concepts such as:

• overcharge;
• causation;
• market effects;
• injury;
• class definition;

are beginning to be applied to crypto-economic structures.

However, the allegations and expert theories should not be treated as established facts merely because they appear in litigation.

15. Cox v. CoinMarketCap / Binance.US

Another emerging example concerns allegations involving cryptocurrency rankings and suppression of a token's value.

In August 2026, a federal court rejected the antitrust claims against Binance.US in the litigation, while other claims were treated separately.

The case is relevant to future synthetic markets because information intermediaries and ranking platforms can affect market visibility and liquidity.

This could become increasingly important where tokenised assets compete largely through platform-generated rankings.

16. Coinbase Litigation and the Boundary Between Regulation and Competition

The SEC's action against Coinbase illustrates another structural issue.

The SEC alleged that Coinbase operated as an unregistered exchange, broker and clearing agency and separately challenged its staking programme.

Although this is not itself an antitrust judgment, it demonstrates the increasingly blurred boundary between:

• financial regulation;
• market-structure regulation;
• platform regulation; and
• competition law.

A synthetic-asset platform may therefore face multiple legal regimes simultaneously.

17. Potential Future Forms of Anti-Competitive Conduct

Future competition authorities may encounter the following categories.

18. Algorithmic Collusion

Synthetic markets may facilitate algorithmic coordination.

Multiple platforms may use:

• automated market makers;
• AI pricing systems;
• trading bots;
• common data feeds;
• common APIs;
• common liquidity providers.

This raises a difficult question:

When algorithms independently produce parallel prices, when does parallel conduct become unlawful coordination?

Competition law may increasingly need to examine:

• algorithm design;
• common data sources;
• common optimisation objectives;
• information exchange;
• developer relationships;
• governance-token voting.

The critical distinction remains between independent algorithmic conduct and conduct involving an unlawful agreement or concerted practice.

19. Governance Tokens and Competition

Decentralised autonomous organisations may create a novel competition problem.

Governance tokens can provide voting rights over:

• protocol fees;
• listing;
• collateral;
• oracle selection;
• liquidity incentives;
• software upgrades.

If competing protocols have overlapping governance ownership, investors could potentially possess incentives to soften competition.

This raises questions concerning:

• common ownership;
• minority shareholdings;
• coordinated conduct;
• information exchange;
• governance participation.

Traditional competition rules may therefore need to examine economic control rather than formal corporate ownership alone.

20. Merger Control

Traditional merger thresholds may fail to capture emerging synthetic-asset acquisitions.

A major platform might acquire:

• a small oracle company;
• a wallet;
• a bridge;
• a stablecoin issuer;
• a DeFi protocol;
• a tokenisation platform.

The target may have:

low revenue but strategically important technology, data or users.

Consequently, future merger-control regimes may increasingly consider:

• transaction value;
• user numbers;
• data assets;
• liquidity;
• token holdings;
• developer communities;
• technological importance.

21. Killer Acquisitions

A dominant platform could acquire a promising synthetic-asset protocol before it becomes a meaningful competitor.

The competitive harm may be:

Potential competitor → acquisition → integration/closure → elimination of future rivalry

This is analogous to concerns arising in digital markets where revenue-based thresholds may fail to identify strategically important acquisitions.

22. Cross-Market Leveraging

Synthetic assets create unusually strong possibilities for leveraging.

A dominant undertaking in:

wallets

could enter:

synthetic securities

and use its existing user base to gain market power.

Similarly:

stablecoin → exchange → lending → synthetic derivatives

can become a vertically integrated chain.

Competition authorities may therefore need to investigate whether dominance in one layer is being unlawfully leveraged into another.

23. Future Regulatory Framework

A comprehensive framework could contain the following elements.

1. Competition-neutral tokenisation

Rules should avoid giving incumbent financial institutions unnecessary regulatory advantages over blockchain-based competitors.

2. Interoperability

Dominant infrastructures could be required, where legally justified, to provide fair technical access.

3. Data portability

Users and competing providers could receive mechanisms for transferring relevant data.

4. Oracle neutrality

Important market-data providers could be subject to transparency and non-discrimination requirements.

5. Stablecoin competition

Regulators could monitor concentration in:

• issuance;
• reserves;
• settlement;
• collateral.

6. Algorithmic accountability

Competition authorities could investigate whether algorithms facilitate unlawful coordination.

7. Merger-control adaptation

Acquisitions involving strategically important token infrastructure could receive greater scrutiny even where conventional revenue thresholds are low.

8. Platform neutrality

Dominant platforms could be restricted from systematically preferring their own synthetic assets.

24. Relationship Between Competition Law and MiCA-Type Regulation

Competition law and financial regulation perform different functions.

The EU's MiCA framework is particularly important because it establishes harmonised requirements for crypto-asset issuance and crypto-asset service providers while expressly identifying fair competition as an objective.

The European Commission describes crypto-assets as potentially capable of reducing intermediaries and increasing competition and innovation in financial services.

25. Competition Remedies

Future enforcement could involve several remedies.

Structural remedies

• divestiture;
• separation of exchange and issuer;
• separation of custody and trading;
• prohibition on cross-ownership.

Behavioural remedies

• non-discriminatory access;
• transparent listing rules;
• interoperability;
• API access;
• data portability;
• fair ranking.

Technical remedies

• open standards;
• interoperable wallets;
• oracle transparency;
• bridge interoperability;
• standardised messaging.

Merger remedies

• asset divestiture;
• licensing;
• access commitments;
• firewall arrangements;
• prohibition of exclusive dealing.

26. Challenges for Competition Authorities

A. Pseudonymity

Identifying participants can be difficult.

B. Decentralisation

There may be no obvious undertaking to regulate.

C. Global markets

Conduct may occur simultaneously across jurisdictions.

D. Rapid innovation

A market definition can become obsolete quickly.

E. Protocol governance

It may be unclear who exercises decisive control.

F. Zero-price services

Traditional price-based theories may be inadequate.

G. Liquidity rather than revenue

Market power may be reflected in liquidity and network effects rather than turnover.

H. Technical complexity

Competition authorities increasingly need blockchain, cryptography, AI and financial-market expertise.

27. India-Specific Perspective

In India, synthetic asset competition would potentially intersect with several regulatory regimes, particularly:

• Competition Act, 2002;
• Securities and Exchange Board of India framework;
• Reserve Bank of India framework;
• payment-system regulation;
• data-protection law;
• foreign-exchange regulation;
• taxation rules.

The Competition Commission of India could potentially confront issues involving:

• digital-asset platforms;
• payment interoperability;
• wallet access;
• tokenised financial products;
• data concentration;
• platform self-preferencing;
• exclusionary API practices;
• mergers involving fintech infrastructure.

The central question would remain whether conduct has an appreciable adverse effect on competition within the relevant market.

28. Future Doctrinal Development

The most important future development may be a shift from:

"Who owns the asset?"

to:

"Who controls the economic infrastructure through which the asset can be created, priced, exchanged and settled?"

That distinction is crucial.

A decentralised token can theoretically exist on an open blockchain while economic access remains controlled by a small number of:

• exchanges;
• custodians;
• stablecoins;
• oracle providers;
• wallets;
• bridges;
• liquidity providers.

Consequently, formal decentralisation does not necessarily eliminate economic concentration.

29. Conceptual Competition-Law Model

The synthetic-asset ecosystem can be analysed through seven layers:

Layer 1 — Underlying Asset

↓

Layer 2 — Data and Oracle

↓

Layer 3 — Tokenisation

↓

Layer 4 — Wallet/Custody

↓

Layer 5 — Exchange/Liquidity

↓

Layer 6 — Settlement

↓

Layer 7 — User Interface

Competition analysis should ask at each level:

1. Who controls the infrastructure?
2. Can competitors enter?
3. Can users switch?
4. Can data be accessed?
5. Is interoperability available?
6. Are affiliated products preferred?
7. Does the undertaking possess market power?
8. Is exclusion objectively justified?

30. Conclusion

The future regulation of synthetic asset economies will require competition law to move beyond conventional price-centred analysis.

The central competitive assets may be:

• liquidity;
• data;
• interoperability;
• algorithms;
• oracles;
• stablecoins;
• network effects;
• governance rights;
• technical standards.

The traditional cases such as Microsoft, Google Shopping, Bronner, Magill, American Express and Qualcomm provide important analytical foundations, while emerging crypto litigation such as the Tether/Bitfinex and Binance-related proceedings demonstrates how antitrust concepts are beginning to interact with digital-asset markets.

The likely long-term regulatory challenge is therefore not simply to regulate synthetic assets, but to prevent control over synthetic-asset infrastructure from becoming a mechanism for foreclosure, self-preferencing, exclusion, coordinated conduct and excessive concentration.