Lesson 2

Pathways to On-Chain Implementation for TradFi Assets

After understanding the basic concept and market background of RWAs, we need to address a more crucial question: How do real-world assets actually enter the blockchain system step by step? This is not a single technical issue, but a systemic process spanning technology, legal frameworks, and financial engineering.

Asset Mapping and Tokenization Mechanism

Essentially, putting assets on-chain doesn't mean moving the asset itself onto the blockchain. Instead, it involves an asset mapping mechanism that converts real-world asset rights into programmable representations on-chain—this process is called tokenization.

In practice, tokenization usually involves two key steps: first, standardizing and splitting asset rights; second, minting these rights into tradable tokens via smart contracts. The core here is not simply issuing tokens, but ensuring a stable and consistent mapping between on-chain tokens and off-chain assets. Otherwise, on-chain liquidity loses its value backing.

From a mechanism design perspective, tokenization often needs to address the following issues:

  • How to define the rights each token represents (such as income rights, ownership, or debt claims)

  • Whether splitting and combining are supported (e.g., fractional investment)

  • Whether tokens are transferable, and what restrictions apply

  • How to synchronize updates between on-chain and off-chain asset states (such as income distribution or asset changes)

Tokenization can be understood as the process of turning non-programmable assets into programmable financial units, laying the groundwork for subsequent DeFi integration and trading.

If tokenization addresses technical representation, legal structures tackle an even more critical issue: whether on-chain assets truly represent legitimate rights.

In reality, most RWA projects don't directly put the asset itself on-chain. Instead, they establish legal entities (such as SPVs or trust structures) to hold the assets, while on-chain tokens correspond to the rights of these entities. The core logic is to create a mapping between legal systems and blockchain networks so that in cases of disputes or liquidation, real-world legal avenues can be pursued.

Common structures include:

  • SPV (Special Purpose Vehicle): Used to isolate risk and segregate specific assets

  • Trust structure: Assets are held by a trustee to protect investor rights

  • Fund vehicles: Fund shares are mapped to on-chain tokens

Additionally, compliance frameworks typically involve:

  • Investor access mechanisms (such as KYC/AML)

  • Securities law requirements across different jurisdictions

  • Information disclosure and audit mechanisms

  • Asset custody and regulatory arrangements

This is often the most complex—and most easily overlooked—aspect of RWA projects. Tokens without legal and compliance support are essentially unanchored assets and struggle to gain recognition from institutions or long-term capital.

On-Chain Confirmation of Rights and Information Transparency

Once assets are mapped on-chain and incorporated into legal structures, the next core issue is: how to confirm asset ownership on-chain. On-chain confirmation of rights uses blockchain records and smart contract rules to define and verify asset ownership or income rights. Unlike traditional finance's reliance on centralized registry systems, blockchain provides a more open and verifiable way to record ownership.

The biggest change brought by this mechanism is enhanced information transparency. Previously, asset data was scattered across various institutions, making it difficult for ordinary investors to access complete information. On-chain, key data such as token issuance volume, transaction flows, income distribution records, and collateral status can all be recorded and publicly verified, improving overall traceability.

However, on-chain transparency does not equal absolute authenticity. On-chain data still relies on off-chain inputs like oracles, audit reports, or asset certificates. Therefore, system credibility still depends on the reliability of off-chain data sources. This is why many RWA projects introduce third-party audits, oracles, and periodic disclosure mechanisms to enhance transparency and market trust.

On-Chain Approaches for Different Asset Types (Bonds, Real Estate, Funds, etc.)

Different types of assets don't follow a one-size-fits-all path for on-chain implementation. Their design varies based on income structure, liquidity characteristics, and legal attributes.

We can use a more intuitive approach to understand the logic for several mainstream asset types:

1. Bond Assets (e.g., government bonds, corporate bonds)

Usually adopt an income rights mapping model, where on-chain tokens correspond to future cash flows (interest + principal). This asset structure is relatively standardized and is currently one of the fastest-growing areas for RWAs.

2. Real Estate Assets

Most commonly held via SPVs that own properties; then SPV equity or income rights are tokenized.

Features include:

  • High single asset value

  • Low liquidity

  • Suitable for fractional ownership

3. Funds and Structured Products

On-chain tokens correspond to fund shares, with professional managers allocating underlying assets. This model closely resembles traditional asset management logic but enhances liquidity and transparency through on-chain circulation.

4. Receivables and Trade Finance Assets

Mainly address SME financing issues by converting future receivables into immediate cash flows distributed to investors via blockchain.

Overall, a core conclusion emerges: The more standardized the asset type (such as bonds), the easier it is to bring on-chain; the more complex the asset (such as real estate or private equity), the more it relies on legal and structural design.

Disclaimer
* Crypto investment involves significant risks. Please proceed with caution. The course is not intended as investment advice.
* The course is created by the author who has joined Gate Learn. Any opinion shared by the author does not represent Gate Learn.