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Blockchains have popularized automated market makers (AMMs). An AMM exchange is an application running on a blockchain which maintains a pool of crypto-assets and automatically trades assets with users governed by some pricing function that…

Computer Science and Game Theory · Computer Science 2025-09-16 T-H. Hubert Chan , Ke Wu , Elaine Shi

This paper examines inscription-related transactions on Ethereum and major EVM-compatible rollups, assessing their impact on scalability during transaction surges. Our results show that, on certain days, inscriptions accounted for nearly…

Cryptography and Security · Computer Science 2025-04-10 Johnnatan Messias , Krzysztof Gogol , Maria Inês Silva , Benjamin Livshits

We present the first in-depth empirical characterization of the costs of trading on a decentralized exchange (DEX). Using quoted prices from the Uniswap Labs interface for two pools -- USDC-ETH (5bps) and PEPE-ETH (30bps) -- we evaluate the…

Cryptography and Security · Computer Science 2024-04-18 Austin Adams , Benjamin Y Chan , Sarit Markovich , Xin Wan

This paper measures price differences between Hegic option quotes on Arbitrum and a model-based benchmark built on Black--Scholes model with regime-sensitive volatility estimated via a two-regime MS-AR-(GJR)-GARCH model. Using option-level…

Pricing of Securities · Quantitative Finance 2025-12-24 Anastasiia Zbandut

Automated Market Makers (AMMs) are essential to decentralized finance, offering continuous liquidity and enabling intermediary-free trading on blockchains. However, participants in AMMs are vulnerable to Maximal Extractable Value (MEV)…

Computer Science and Game Theory · Computer Science 2024-10-25 Mengqian Zhang , Sen Yang , Fan Zhang

Automated Market Makers (AMMs) hold assets and are constantly being rebalanced by external arbitrageurs to match external market prices. Loss-versus-rebalancing (LVR) is a pivotal metric for measuring how an AMM pool performs for its…

Trading and Market Microstructure · Quantitative Finance 2024-11-01 Matthew Willetts , Christian Harrington

Sharding is a way to address scalability problem in blockchain technologies. Ethereum, a prominent blockchain technology, has included sharding in its roadmap to increase its throughput. The plan is also to include multiple execution…

Distributed, Parallel, and Cluster Computing · Computer Science 2021-05-19 Raghavendra Ramesh

This paper presents the results of a comprehensive empirical study of losses to arbitrageurs (following the formalization of loss-versus-rebalancing by [Milionis et al., 2022]) incurred by liquidity providers on automated market makers…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-04-23 Robin Fritsch , Andrea Canidio

This paper proposes a novel multi-layer blockchain architecture for the cross-border trading of CBDCs. The permissioned layer-2, by relying on the public consensus of the underlying network, assures the security and integrity of the…

Cryptography and Security · Computer Science 2024-02-01 Krzysztof Gogol , Johnnatan Messias , Malte Schlosser , Benjamin Kraner , Claudio Tessone

Cyclic arbitrage chances exist abundantly among decentralized exchanges (DEXs), like Uniswap V2. For an arbitrage cycle (loop), researchers or practitioners usually choose a specific token, such as Ether as input, and optimize their input…

Computational Finance · Quantitative Finance 2024-06-25 Yu Zhang , Zichen Li , Tao Yan , Qianyu Liu , Nicolo Vallarano , Claudio Tessone

Maximal Extractable Value (MEV) in Constant Function Market Making is fairly well understood. Does having dynamic weights, as found in liquidity boostrap pools (LBPs), Temporal-function market makers (TFMMs), and Replicating market makers…

Trading and Market Microstructure · Quantitative Finance 2024-04-26 Matthew Willetts , Christian Harrington

Autonomous Market Makers (AMMs) rely on arbitrage to facilitate passive price updates. Liquidity fragmentation poses a complex challenge across different blockchain networks. This paper proposes FluxLayer, a solution to mitigate fragmented…

Computational Finance · Quantitative Finance 2025-05-15 Xin Lao , Shiping Chen , Qin Wang

As the significance of blockchain innovation grows and the focus on scalability intensifies, rollup technology has emerged as a promising approach to tackle these scalability concerns. Nonetheless, rollups encounter restrictions when…

Cryptography and Security · Computer Science 2023-06-01 Hyun Jeong , Hyemin Lee

The Layer 2 Atomic Cross-Blockchain Function Calls protocol allows composable programming across Ethereum blockchains. It allows for inter-contract and inter-blockchain function calls that are both synchronous and atomic: if one part fails,…

Cryptography and Security · Computer Science 2020-07-02 Peter Robinson , Raghavendra Ramesh

Currently, over 90% of Ethereum blocks are built using MEV-Boost, an auction that allows validators to sell their block-building power to builders who compete in an open English auction in each slot. Shortly after the merge, when MEV-Boost…

Theoretical Economics · Economics 2023-11-16 Mallesh Pai , Max Resnick

Blockchain networks provide a reliable trust anchor to decentralized applications (DApps) backed by smart contracts. The Ethereum ecosystem now encompasses most blockchain networks that provide compatible support for smart contracts code.…

Software Engineering · Computer Science 2025-04-16 Cătălina Lazăr , Gabriela Secrieru , Emanuel Onica

Liquidity providers (LPs) on decentralized exchanges (DEXs) can protect themselves from adverse selection risk by updating their positions more frequently. However, repositioning is costly, because LPs have to pay gas fees for each update.…

Trading and Market Microstructure · Quantitative Finance 2024-03-20 Basile Caparros , Amit Chaudhary , Olga Klein

A rollup network is a type of popular "Layer 2" scaling solution for general purpose "Layer 1" blockchains like Ethereum. Rollups networks separate execution of transactions from other aspects like consensus, processing transactions off of…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-01 Francisco Gomes Figueira , Martin Derka , Ching Lun Chiu , Jan Gorzny

Maximal Extractable Value (MEV) has emerged as a new frontier in the design of blockchain systems. In this paper, we propose making the MEV extraction rate as part of the protocol design space. Our aim is to leverage this parameter to…

Computer Science and Game Theory · Computer Science 2024-10-02 Pedro Braga , Georgios Chionas , Piotr Krysta , Stefanos Leonardos , Georgios Piliouras , Carmine Ventre

As blockchains begin processing significant economic activity, the ability to include and order transactions inevitably becomes highly valuable, a concept known as Maximal Extractable Value (MEV). This makes effective mechanisms for…

Distributed, Parallel, and Cluster Computing · Computer Science 2025-04-25 Robin Fritsch , Maria Inês Silva , Akaki Mamageishvili , Benjamin Livshits , Edward W. Felten