How Valuation Works in Tokenized Real Estate

In tokenized real estate, valuation begins with the underlying property, not the token. Tokens derive their value from the asset and the rights they represent, but token prices can diverge materially from property valuations.

Property-Level Valuation Comes First

Tokenization does not change how real estate is valued. Standard approaches still apply:

• Income-based methods: capitalization rates and discounted cash flow
• Comparable sales: recent transactions of similar assets
• Independent appraisals: third-party assessments

These determine the gross value of the property, before any token structure is applied.

Translating Property Value Into Token Value

Token value is derived by allocating property value through the legal and financial structure. Key inputs include:

• Net asset value (after debt and reserves)
• Priority of token holders relative to lenders and other claims
• Fee layers at the entity and platform level
• Distribution mechanics and lockups

As a result, two token offerings tied to identical properties can imply different token values.

Why Token Prices Diverge From Valuation

Secondary market token prices may diverge from property value due to:

• Illiquidity or thin trading volumes
• Regulatory restrictions on who can trade
• Information asymmetry or stale disclosures
• Forced selling or platform-specific constraints

A token's market price reflects access and constraints, not just asset fundamentals.

Common Valuation Failure Modes

Valuation breaks down when:

• Appraisals are outdated or selectively disclosed
• Token price is presented as property value
• Fees obscure net economic exposure
• Secondary prices are treated as fair value without context

These failures erode credibility and mislead participants.

Implications

For investors: valuation must be traced through the full structure, not inferred from token price.

For issuers: transparency determines trust and comparability.

For platforms: consistent valuation standards reduce mispricing risk.