Akaki Mamageishvili, Christoph Schlegel, Benny Sudakov, Danning Sui
{"title":"搜索器在积木式建筑中的竞争","authors":"Akaki Mamageishvili, Christoph Schlegel, Benny Sudakov, Danning Sui","doi":"arxiv-2407.07474","DOIUrl":null,"url":null,"abstract":"We study the amount of maximal extractable value (MEV) captured by\nvalidators, as a function of searcher competition, in blockchains with\ncompetitive block building markets such as Ethereum. We argue that the core is\na suitable solution concept in this context that makes robust predictions that\nare independent of implementation details or specific mechanisms chosen. We\ncharacterize how much value validators extract in the core and quantify the\nsurplus share of validators as a function of searcher competition. Searchers\ncan obtain at most the marginal value increase of the winning block relative to\nthe best block that can be built without their bundles. Dually this gives a\nlower bound on the value extracted by the validator. If arbitrages are easy to\nfind and many searchers find similar bundles, the validator gets paid all value\nalmost surely, while searchers can capture most value if there is little\nsearcher competition per arbitrage. For the case of passive block-proposers we\nstudy, moreover, mechanisms that implement core allocations in dominant\nstrategies and find that for submodular value, there is a unique\ndominant-strategy incentive compatible core-selecting mechanism that gives each\nsearcher exactly their marginal value contribution to the winning block. We\nvalidate our theoretical prediction empirically with aggregate bundle data and\nfind a significant positive relation between the number of submitted backruns\nfor the same opportunity and the median value captured by the proposer from the\nopportunity.","PeriodicalId":501316,"journal":{"name":"arXiv - CS - Computer Science and Game Theory","volume":"18 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-07-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Searcher Competition in Block Building\",\"authors\":\"Akaki Mamageishvili, Christoph Schlegel, Benny Sudakov, Danning Sui\",\"doi\":\"arxiv-2407.07474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We study the amount of maximal extractable value (MEV) captured by\\nvalidators, as a function of searcher competition, in blockchains with\\ncompetitive block building markets such as Ethereum. We argue that the core is\\na suitable solution concept in this context that makes robust predictions that\\nare independent of implementation details or specific mechanisms chosen. We\\ncharacterize how much value validators extract in the core and quantify the\\nsurplus share of validators as a function of searcher competition. Searchers\\ncan obtain at most the marginal value increase of the winning block relative to\\nthe best block that can be built without their bundles. Dually this gives a\\nlower bound on the value extracted by the validator. If arbitrages are easy to\\nfind and many searchers find similar bundles, the validator gets paid all value\\nalmost surely, while searchers can capture most value if there is little\\nsearcher competition per arbitrage. For the case of passive block-proposers we\\nstudy, moreover, mechanisms that implement core allocations in dominant\\nstrategies and find that for submodular value, there is a unique\\ndominant-strategy incentive compatible core-selecting mechanism that gives each\\nsearcher exactly their marginal value contribution to the winning block. We\\nvalidate our theoretical prediction empirically with aggregate bundle data and\\nfind a significant positive relation between the number of submitted backruns\\nfor the same opportunity and the median value captured by the proposer from the\\nopportunity.\",\"PeriodicalId\":501316,\"journal\":{\"name\":\"arXiv - CS - Computer Science and Game Theory\",\"volume\":\"18 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-07-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"arXiv - CS - Computer Science and Game Theory\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/arxiv-2407.07474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - CS - Computer Science and Game Theory","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2407.07474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We study the amount of maximal extractable value (MEV) captured by
validators, as a function of searcher competition, in blockchains with
competitive block building markets such as Ethereum. We argue that the core is
a suitable solution concept in this context that makes robust predictions that
are independent of implementation details or specific mechanisms chosen. We
characterize how much value validators extract in the core and quantify the
surplus share of validators as a function of searcher competition. Searchers
can obtain at most the marginal value increase of the winning block relative to
the best block that can be built without their bundles. Dually this gives a
lower bound on the value extracted by the validator. If arbitrages are easy to
find and many searchers find similar bundles, the validator gets paid all value
almost surely, while searchers can capture most value if there is little
searcher competition per arbitrage. For the case of passive block-proposers we
study, moreover, mechanisms that implement core allocations in dominant
strategies and find that for submodular value, there is a unique
dominant-strategy incentive compatible core-selecting mechanism that gives each
searcher exactly their marginal value contribution to the winning block. We
validate our theoretical prediction empirically with aggregate bundle data and
find a significant positive relation between the number of submitted backruns
for the same opportunity and the median value captured by the proposer from the
opportunity.