{"title":"协整资产的微观结构","authors":"Sasha Stoikov, Peter Decrem, Yikai Hua, Anne Shen","doi":"10.2139/ssrn.3824298","DOIUrl":null,"url":null,"abstract":"We define the micro price of multiple cointegrated assets. This yields a notion of fair prices, as a function of the observable state of multiple order books. We compute the microprices of two highly cointegrated assets, using Level-1 data collected on Interactive Brokers. We design an execution algorithm based on this two dimentional microprice and show that it can save half of the bid-ask spread cost.<br><br>The code for this paper is available here: https://github.com/xhshenxin/Micro_Price","PeriodicalId":260048,"journal":{"name":"Capital Markets: Market Efficiency eJournal","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"The Microstructure of Cointegrated Assets\",\"authors\":\"Sasha Stoikov, Peter Decrem, Yikai Hua, Anne Shen\",\"doi\":\"10.2139/ssrn.3824298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We define the micro price of multiple cointegrated assets. This yields a notion of fair prices, as a function of the observable state of multiple order books. We compute the microprices of two highly cointegrated assets, using Level-1 data collected on Interactive Brokers. We design an execution algorithm based on this two dimentional microprice and show that it can save half of the bid-ask spread cost.<br><br>The code for this paper is available here: https://github.com/xhshenxin/Micro_Price\",\"PeriodicalId\":260048,\"journal\":{\"name\":\"Capital Markets: Market Efficiency eJournal\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-04-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Capital Markets: Market Efficiency eJournal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3824298\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Capital Markets: Market Efficiency eJournal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3824298","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We define the micro price of multiple cointegrated assets. This yields a notion of fair prices, as a function of the observable state of multiple order books. We compute the microprices of two highly cointegrated assets, using Level-1 data collected on Interactive Brokers. We design an execution algorithm based on this two dimentional microprice and show that it can save half of the bid-ask spread cost.
The code for this paper is available here: https://github.com/xhshenxin/Micro_Price