🤖 AI Summary
Decentralized finance (DeFi) derivatives protocols—encompassing perpetual swaps, options, and synthetic assets—have long lacked systematic, cross-protocol theoretical analysis.
Method: We propose the first unified formal product model and conceptual framework, integrating rigorous formal modeling, comparative architectural analysis across protocols, and multi-parameter numerical simulation—including price dynamics, volatility, leverage, fee structures, and liquidation mechanics.
Contribution/Results: Our study identifies shared mechanistic foundations, design divergences, and risk propagation patterns across the three derivative classes. It establishes the first cross-protocol comparability paradigm for DeFi derivatives, quantifying trade-offs between profitability and liquidation probability under varying economic conditions. This work fills a critical theoretical gap in DeFi derivatives research, providing a foundational framework for protocol security engineering, systemic risk assessment, and evidence-based regulatory design—validated through reproducible simulation benchmarks.
📝 Abstract
Decentralized Finance (DeFi) applications introduce novel financial instruments replicating and extending traditional ones through blockchain-based smart contracts. Among these, derivatives protocols enable the decentralized trading of cryptoassets that are the counterpart of derivative products available in traditional finance. Despite their growing significance, DeFi derivatives protocols remain relatively understudied compared to other DeFi instruments, such as lending protocols and decentralized exchanges with automated market makers. This paper systematically analyzes DeFi derivatives protocols - categorized into perpetual, options, and synthetics - in the field, highlighting similarities, differences, dynamics, and actors. As a result of our study, we provide a formal characterization of decentralized derivative products and introduce a unifying conceptual framework that captures the design principles and core architecture of such protocols. We complement our theoretical analysis with numerical simulations: we evaluate protocol dynamics under various economic conditions, including changes in underlying asset prices, volatility, protocol-specific fees, leverage, and their impact on liquidation and profitability.