# Putting a Price on History: Tokenization and the Liquidity of Culture

Mechanism: Tokenization of everything (RWA-adjacent) | Category: Crypto-economics | Sources: 13

Canonical page: https://www.meme-orial.com/science/crypto-04-tokenization-of-everything

Source: (MEME)ORIAL science library. This article connects cited research with the project’s interpretation.

## The Science

One of the more counterintuitive findings in financial economics is that the largest reservoir of untapped value in the world is not a missing asset class — it is a missing *liquidity layer*. Amihud and Mendelson established the principle in 1986 (*Journal of Financial Economics*): expected return is an increasing, concave function of illiquidity, which is another way of saying that markets systematically discount whatever is hard to trade. Make an illiquid thing tradable and the discount it carried for being stuck begins to close. Tokenization is the technology that applies this at planetary scale, and Meme-orial applies it to an asset humanity has never been able to trade at all: its own collective memory.

The scale of the broader shift is a matter of public record. Boston Consulting Group and ADDX (Kumar et al., 2022) projected on-chain asset tokenization growing roughly fifty-fold, from $310 billion to $16.1 trillion by 2030 — about 10% of global GDP — with a best-case scenario of $68 trillion. McKinsey ("From Ripples to Waves," 2024) models a more conservative ~$2 trillion base case and ~$4 trillion bull case; Ark Invest projects tokenized assets surpassing $11 trillion by 2030. The forecasts disagree loudly about the number and agree completely about the direction and the mechanism. ADDX's framing supplies the key statistic: historically, more than 50% of the world's assets have been held in illiquid formats. Tokenization does not conjure value; it unlocks value that was always there but trapped behind the bid-ask spread, the auction house, the velvet rope.

Now apply the mechanism to history itself. The JFK assassination, the moon landing, the fall of the Berlin Wall — these are cultural assets that meet every condition for a large trapped-liquidity discount. They are maximally salient: Tversky and Kahneman (1973, *Cognitive Psychology*) showed that events that come most easily to mind dominate human judgments of frequency and importance, and these are the most available events in living memory. They are maximally scarce: there is exactly one moon landing. And until now they have been perfectly illiquid — one could feel a great deal about Apollo 11 but never hold a transferable, provenance-verified claim on the cultural event itself. The memorabilia market has only ever monetized the physical splinters: a moonwalker's watch cleared $1.625 million at auction, JFK's handwritten candidacy manuscript fetched $200,000, the Rosebud sled from *Citizen Kane* reached $14.75 million. Those are the crumbs. Meme-orial tokenizes the monument.

The consumer-behavior literature suggests the NFT market has, meanwhile, been pricing the wrong variable. Hofstetter, Dahl, Aydinli and Bijmolt (2024, *Journal of Consumer Research*, "Beyond Scarcity") demonstrated empirically that *social value* can outweigh intrinsic value as a determinant of willingness to pay — and that when an NFT carries high social value, the textbook scarcity-price relationship can flip sign. Read against Meme-orial's design, the violet/pink meta-layer stops looking like an aesthetic flourish: it is the encoded social value of each event, the explicit, ownable representation of the collective conversation around it. The collection did not decorate its tokens with the most value-predictive variable in the literature; it made that variable part of the product. The pattern shows up in tokenized real assets too — a *Financial Innovation* (2023) study of 58 tokenized US rental properties found token prices tracking the house-price index, with liquidity and on-platform visibility driving appreciation.

Several well-documented mechanisms describe how markets for such objects behave. Acharya and Pedersen (2005, *Journal of Financial Economics*) formalized why liquidity itself is priced: buyers value the option to exit, which on-chain settlement extends to categories that never had it. Kahneman, Knetsch and Thaler (1990, *Journal of Political Economy*) measured the endowment effect at scale — median willingness-to-accept ran more than twice willingness-to-pay, and trade volumes collapsed far below the Coase prediction — meaning owners of singular, iconic items part with them reluctantly, so few change hands. Carey (2008, *Journal of Economic Psychology*), with Belk's "extended self" framework, documents the set-completion drive: collectors experience an incomplete set as "a fracture in the self" and pay outsized premiums to close a gap, which is why Meme-orial's decade, country, and topic traits organize the 104 monuments into completable constellations. And Fridgen et al. (2025, *European Financial Management*) confirm on-chain that herding — attention begetting attention — is a measurable feature of NFT markets, which matters for a catalog composed entirely of the most cognitively available events on earth.

The parallels are instructive precisely because they are mundane. Real estate was the archetypal illiquid asset until securitization wrapped it in tradable claims; REITs unlocked a multi-trillion-dollar asset class without changing a single building. Meme-orial is that maneuver applied to cultural memory: the "building" (the moon landing) is unchanged, and the finite, provenance-verified, on-chain claim is the wrapper — for an asset class with billions of pre-existing emotional shareholders. CryptoPunks demonstrated the social-value half of the argument: 10,000 tokens given away free in 2017, with no utility whatsoever, were re-rated into blue-chip artifacts by exactly the variable Hofstetter et al. later isolated — except the Punks had to manufacture cultural meaning from pixel aliens, where Meme-orial begins with events already saturated in it. And tokenized money-market funds supply the proof that the thesis has left the whiteboard: they passed $1 billion in assets with BlackRock, Franklin Templeton, WisdomTree, Ondo, and Superstate all live (McKinsey, 2024). The tokenization of everything is operational in the most conservative corner of finance. The cultural-asset frontier — "put a price on history" — is the corner it has not yet reached.

## Key Findings

- Illiquidity is a measurable discount. Amihud & Mendelson (1986) showed expected return rises with illiquidity; Acharya & Pedersen (2005) formalized the premium buyers pay for the option to exit. On-chain transferability is the first liquidity layer cultural history has ever had.
- The macro forecasts differ on magnitude, not direction: BCG/ADDX (2022) project $16.1 trillion in tokenized assets by 2030 ($68T best case), McKinsey (2024) ~$2–4 trillion, Ark (2025) $11 trillion+ — against a baseline in which more than half of the world's assets have historically been illiquid.
- Social value can outweigh intrinsic value in NFT pricing (Hofstetter, Dahl, Aydinli & Bijmolt 2024, *JCR*), even flipping the textbook scarcity effect. Meme-orial's violet/pink meta-layer encodes exactly this variable — the collective conversation — into the object itself.
- Ownership reshapes exchange: Kahneman, Knetsch & Thaler (1990) found willingness-to-accept roughly double willingness-to-pay, with trade volumes far below theoretical predictions; holders of singular items rarely let them go.
- Set completion is a documented drive, not a sales device: Carey (2008) and Belk (1988) show collectors experience gaps as "a fracture in the self." Decade, country, and topic traits organize the 104 into completable micro-sets.
- Attention dynamics are real market structure: availability (Tversky & Kahneman 1973) makes these events the easiest of all to recall, and Fridgen et al. (2025) confirm herding as a measurable NFT price mechanism.

## Why This Matters for Meme-orial

Meme-orial is the cultural-asset expression of a mechanism that mainstream finance has already validated: take something valuable but untradable, wrap it in a verifiable claim, and the discount for being stuck begins to close. The design follows the research at each step. Every monument is a sole, indivisible claim on one event — the scarcest configuration a set can express — because there is exactly one moon landing and the collection honors that arithmetic. The meta-layer encodes social value, the variable the consumer literature now identifies as the strongest determinant of what such objects are worth to people, rather than leaving it implicit. The trait axes give collectors coherent constellations to complete rather than a randomized rarity table to decode. For the whole of human history, the events that structure collective memory could be felt but not held. Tokenization makes it possible, for the first time, to hold a verifiable, singular, transferable claim on the monument itself — and "putting a price on history" is simply what it looks like when the world's oldest store of shared meaning finally gets a liquidity layer.

## Sources

- Amihud, Y., & Mendelson, H. (1986). Asset Pricing and the Bid-Ask Spread. *Journal of Financial Economics*, 17(2), 223–249.
- Acharya, V. V., & Pedersen, L. H. (2005). Asset Pricing with Liquidity Risk. *Journal of Financial Economics*, 77(2), 375–410.
- Kahneman, D., Knetsch, J. L., & Thaler, R. H. (1990). Experimental Tests of the Endowment Effect and the Coase Theorem. *Journal of Political Economy*, 98(6), 1325–1348.
- Tversky, A., & Kahneman, D. (1973). Availability: A Heuristic for Judging Frequency and Probability. *Cognitive Psychology*, 5(2), 207–232.
- Hofstetter, R., Dahl, D. W., Aydinli, A., & Bijmolt, T. H. A. (2024). Beyond Scarcity: A Social Value-Based Lens for NFT Pricing. *Journal of Consumer Research*, 51(1), 140–161.
- Fridgen, G., et al. (2025). Pricing Dynamics and Herding Behaviour of NFTs. *European Financial Management*.
- Carey, C. (2008). Modeling Collecting Behavior: The Role of Set Completion. *Journal of Economic Psychology*, 29(3), 336–347.
- Belk, R. W. (1988). Possessions and the Extended Self. *Journal of Consumer Research*, 15(2), 139–168.
- Kumar, S., Suresh, R., Kronfellner, B., Kaul, A., & Liu, D. (2022). *Relevance of On-Chain Asset Tokenization in 'Crypto Winter'.* Boston Consulting Group & ADDX.
- McKinsey & Company (2024). *From Ripples to Waves: The Transformational Power of Tokenizing Assets.*
- Ark Invest (2025). Tokenization Outlook — tokenized assets projected to surpass $11 trillion by 2030.
- Financial Innovation (2023). Empirical Evidence on the Ownership and Liquidity of Real Estate Tokens. *Financial Innovation*, 9(1).
- DappRadar / CryptoSlam (2025). NFT Market Reports H1 2025 (sales volume, secondary-market share, floor-price data).