Chris Burniske - How to Value a Cryptoasset - [Invest Like the Best, EP.62]

Episode Summary

Executive Summary: Patrick O’Shaughnessy interviews Chris Burniske on valuing crypto assets using new frameworks like MV=PQ, utility vs. speculative value, token taxonomy, and network metrics such as NVT. The episode matters because it translates crypto from hype into an analyzable asset class and shows how real-world use cases, governance, and velocity shape valuation.

Main Topics: Crypto valuation framework (Priority: 10/5): Burniske argues crypto needs valuation methods beyond DCF because protocols lack cash flows. Equation of exchange (MV=PQ) (Priority: 10/5): He adapts monetarist math to estimate a network’s GDP and token utility value. Token taxonomy (Priority: 9/5): He separates crypto assets into cryptocurrencies, crypto commodities, and crypto tokens. Velocity and float (Priority: 9/5): Token price depends on velocity and how many tokens are actually circulating or bonded. Network metrics like NVT (Priority: 8/5): He introduces network value-to-transaction-volume as a crypto analogue to valuation ratios. Governance and censorship resistance (Priority: 8/5): He weighs decentralization, self-policing, and risks from abuse or regulatory pushback. Long-term investing lens (Priority: 8/5): He stresses team quality, governance, and crypto-economics over short-term price moves.

Key Arguments: Protocols need new valuation models because they have incentive systems, not cash flows. MV=PQ can map a network’s economy and derive a token’s utility value. Float must exclude store-of-value holders and bonded tokens because they are not available for exchange. Current market price can be split into current utility value plus discounted expected future utility. Bitcoin’s aggregate velocity is roughly 5-6, but means-of-exchange velocity can be much higher. NVT (network value / transaction volume) is a useful crypto analogue to price-to-sales. Governance quality can determine whether a protocol survives forks and captures value. A network is worth decentralizing only if it beats centralized alternatives on censorship resistance, uptime, or performance.

Data Points: U.S. dollar monetary base: around 4 trillion - Burniske uses this as the M in MV=PQ for fiat money. U.S. dollar velocity: 5 to 6 range - Estimated velocity of the dollar in the discussion. U.S. GDP equivalence: about 20 trillion - 4 trillion monetary base times velocity of roughly 5. Filecoin TAM example: $100 billion a year - Used as an illustrative annual network economy in the model. Ethereum proof-of-stake bond: a thousand Ether - Example of bonding required to participate in consensus. Ethereum bond dollar value: $300,000 - Approximate value of 1,000 Ether at the time discussed. Hypothetical store-of-value share: 60% - Burniske subtracts held-as-store-value tokens from float. Hypothetical bonded share: 20% - Tokens locked up in consensus are removed from float. Bitcoin remittances market: roughly $500 billion - Base market size used in the remittance valuation example. Bitcoin remittance penetration assumption: 10 percent - Future adoption assumption for Bitcoin in remittances. Bitcoin remittances volume: $50 billion - 10% of the $500 billion remittance market. Bitcoin utility if velocity=5: $10 billion - $50 billion economy divided by velocity of 5. Bitcoin utility if velocity=10: $5 billion - Higher velocity reduces needed monetary base. Bitcoin on-chain transaction volume: roughly a billion dollars a day - Used to distinguish true on-chain use from exchange trading. Bitcoin network value: around 90 billion - Used in the NVT example. Bitcoin weighted average network value: 60 billion - Approximation for the year in the velocity calculation. Bitcoin aggregate velocity: six - 360 billion annual on-chain volume divided by 60 billion network value. Bitcoin means-of-exchange velocity: 15 - Derived when 60% of tokens are held as store of value. Bitcoin base NVT: around 50 - Historical level Burniske says Bitcoin tends to base around. Steam block reward split: roughly two-thirds - Share going to authors of content. Steam curator reward: roughly one-sixth - Share going to curators who surface content. WeChat group size: 500 people - Maximum group size used in the China remittance workaround. OTC fee: 0.1% cut - Group leader fee charged on both sides of the transaction. Traditional bank transfer fee: $40 on the U.S. side - Legacy remittance example costs. Traditional transfer time: two to three business days at best - Legacy remittance settlement speed. Alt remittance time: about 30 minutes - Time for the Bitcoin/Ether OTC workaround. Filecoin example speed: more quickly than AWS - Claim about local provisioning advantages for some files.

Pivotal Quotes: "protocols don’t have business models. They don’t have cash flows. They have incentive models" — Chris Burniske: He explains why DCFs don’t work well for crypto networks. "I can make an investment in the GDP growth of cloud storage of an individual country. But instead of a country, it’s a contained network" — Chris Burniske: He frames crypto assets as bets on network economies. "if they’re not serving for the good of humanity, then the masses will kind of come down on the protocol" — Chris Burniske: He discusses the social limits of censorship-resistant systems.

Implications: The unresolved challenge is formalizing velocity, discount rates, and governance scoring; listeners should track whether on-chain data and network adoption make these models more predictive.