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Crypto Airdrop Pricing

This paper proposes a novel valuation framework for cryptocurrency airdrop-linked claims that integrates market risks with project-specific uncertainties—such as eligibility, allocation, vesting, and dilution—by modeling the payoff as a compound contingent claim, thereby offering both a theoretical benchmark and a practical calibration tool demonstrated through the Hyperliquid genesis distribution.

Original authors: Yunxia Bai, Xiaohan Liu, Bofu Zhang

Published 2026-09-03
📖 6 min read🧠 Deep dive

Original authors: Yunxia Bai, Xiaohan Liu, Bofu Zhang

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

In the world of digital money, a new kind of financial promise has emerged, one that looks like a gift but behaves like a complex bet. These promises are called airdrops. Instead of buying a token directly, a user performs tasks on a digital platform—trading, lending, or simply logging in—and earns points. These points act as a ticket for a future reward: a specific number of new tokens that the project will distribute later. For the user, this feels like a lottery, but for the project, it is a sophisticated way to build a community and distribute ownership without selling shares to investors. The problem is that these tickets are incredibly hard to value. Unlike a standard stock option, where the value depends only on the price of the underlying asset, an airdrop ticket depends on a chaotic mix of factors: whether the user actually qualifies for the reward, how many tokens they will receive, when they are allowed to sell them, and how the act of distributing the tokens might crash the market price. Because these variables are so intertwined, standard financial tools fail to capture their true worth, leaving users and projects guessing at the value of their digital claims.

Researchers Yunxia Bai, Xiaohan Liu, and Bofu Zhang from Tongji University have developed a new way to measure this value. They treat an airdrop not as a simple lottery ticket, but as a layered financial claim that combines market risk with the specific rules of the project. In their framework, the value of a user's potential reward is determined by four distinct ingredients working together. First is the chance of eligibility, which is the probability that a user's wallet survives the project's filters and is not disqualified for suspicious activity. Second is the allocation, which is the uncertain number of tokens the user might receive based on their activity level. Third is tradability, representing the fraction of those tokens that are actually unlocked and can be sold immediately, as many rewards come with a waiting period. Finally, there is the market price of the token itself, adjusted for the shock that happens when millions of new tokens suddenly enter the market. The researchers found that the value of an airdrop is not a straight line; it is a highly sensitive curve where small changes in the rules can cause the value to swing wildly.

To test their theory, the team applied their model to a real-world event: the launch of Hyperliquid, a popular trading platform that recently distributed its tokens. They gathered public data on the project, including the total number of tokens to be given away, the number of users who received them, and the price at which the tokens began trading. They then simulated the outcome for different types of users, ranging from those who barely participated to those who were deeply involved. The results showed a stark reality: the value of an airdrop is not uniform across all users. A user with a high chance of qualifying and a large expected allocation saw their potential reward valued at over twenty-two thousand dollars in their simulation. In contrast, a user with lower activity and a smaller expected allocation saw their claim valued at less than five dollars. This massive gap exists because the reward structure acts like a filter; once a user's expected allocation crosses a certain threshold, the value of their claim jumps dramatically, moving from a speculative gamble to a solid financial asset.

The study also revealed how fragile these values are to the design of the project itself. The researchers ran scenarios to see what would happen if the tokens were not immediately available to sell but were instead locked up for months. In one simulation, if only a quarter of the tokens were unlocked, the value of the claim for a typical user collapsed to near zero, even though the total number of tokens promised remained the same. This happens because the inability to sell the tokens immediately removes the immediate cash value, and the uncertainty of the future market price makes the claim too risky to be worth much. Conversely, when the researchers increased the expected number of tokens a user would receive, the value of the claim did not just rise slightly; it surged. This is because a larger allocation increases the likelihood that the reward will be worth more than the cost of acquiring it, turning a speculative bet into a guaranteed profit in many possible futures.

Another critical finding was the impact of the distribution event itself. When a project releases a large number of tokens, it often causes the price of the token to drop temporarily due to selling pressure. The researchers modeled this as a "dilution" effect. Their simulations showed that if the market expects a heavy sell-off, the value of the airdrop claim drops significantly. For instance, in a scenario where the selling pressure was high, the value of the claim fell by roughly thirty percent compared to a scenario where the selling pressure was low. This highlights a paradox in the system: a project might try to distribute tokens broadly to build a large community, but if that distribution is too large or too concentrated in the hands of people who want to sell immediately, it can destroy the very value the users are hoping to capture.

The researchers also explored how the timing of the reward affects its worth. They found that giving users more time before they can sell their tokens does not always hurt the value. While it delays the ability to cash out, it can sometimes support the token price by preventing a sudden flood of sellers. However, this benefit is not guaranteed. If the delay is too long, the direct loss of liquidity usually outweighs any potential price support, leaving the user with a less valuable claim. The study suggests that the most important factors for a user to watch are not just the price of the token, but the rules of the game: how strict the eligibility criteria are, how the tokens are divided up, and when they can be sold.

By breaking down the airdrop into these four components, the paper provides a clear language for understanding what is actually being traded in these markets. It shows that when people buy accounts with points or trade rights to future airdrops, they are not just betting on a token price. They are betting on a complex combination of rules and probabilities. The study concludes that standard financial models, which assume a single underlying asset, are insufficient for this task. Instead, the value of an airdrop is a product of the project's design choices interacting with market forces. For the first time, this framework allows researchers and participants to quantify how much a specific rule change—like tightening the eligibility filter or extending the lock-up period—will actually change the value of a user's reward. The work does not claim to predict the future price of any specific token, but it offers a reliable method for measuring the risk and reward inherent in the unique, rule-bound world of digital token distributions.

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