【Author】 Madrigal-Cianci, Juan P.; Maya, Camilo Monsalve; Breakey, Lachlan
【Source】FINANCE RESEARCH LETTERS
【影响因子】9.848
【Abstract】We propose a novel data-driven methodology for pricing derivatives on blockchain transaction fees in protocols that use an EIP-1559-like transaction fee mechanism. Our approach models the base fee process as a Markov chain driven by relative block usage, estimated from empirical data via a Gaussian Mixture Model. We then apply risk-neutral valuation through Monte Carlo simulations. Our results suggest that our approach captures observed fee volatility better than other available continuous-time models.
【Keywords】Cryptocurrencies; Option pricing; Monte Carlo methods; Financial simulations; Blockchains
【发表时间】2025 NOV
【收录时间】2025-06-28
【文献类型】
【主题类别】
--
评论