Gas Fees as Liquidity Risk Signals in Blockchain Token Markets

Kai Wang and Ladislav Krištoufek ()
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Kai Wang: Charles University, Faculty of Social Sciences, Institute of Economic Studies, Czechia

No 2026/16, Working Papers IES from Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies

Abstract: Platform-level gas fees serve as a public, real-time, predictive signal of cross-sectional liquidity risk in blockchain ecosystem tokens. Using a daily panel of 4,224 chain-specific tokens on Ethereum, BNB Chain, and Solana between 2017 and 2025 (2.04 million tokenday observations), gas fees are positively and significantly associated with token-level log Amihud illiquidity on every ecosystem after broad market illiquidity controls and two-way clustering on token and date. The magnitudes differ across chains in ways that line up with their fee-market designs and are economically substantial. A price-based native-token illiquidity factor also co-moves with chain-specific tokens, but the direct congestion measure is more robust to sample composition shifts and absorbs the price-based proxy on BNB Chain. Co-movement through returns and volatility is weak, consistent with the result running through trading frictions rather than expected returns or return variance. The institutional feature behind this result has no analogue in traditional markets, namely that execution costs in every chain-specific token are set in a single, system-level fee market for block space, paid in the chain’s native asset. Because gas fees are public, machine-readable, and available in real time, they offer a leading indicator for monitoring blockchain-market fragility.

Keywords: Gas fees; Block space; Illiquidity; Blockchain congestion; Native tokens; Crypto microstructure (search for similar items in EconPapers)
JEL-codes: C23 D44 G12 G14 G23 (search for similar items in EconPapers)
Pages: 26 pages
Date: 2026-06, Revised 2026-06
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