{"title":"潜在订单对价格的影响","authors":"Ismael Lemhadri","doi":"10.1142/S2382626620500045","DOIUrl":null,"url":null,"abstract":"The latent order book of [Donier et al., 2015, A fully consistent, minimal model for nonlinear market impact, Quantitative Finance 15(7), 1109–1121] is one of the most promising agent-based models for market impact. This work extends the minimal model by allowing agents to exhibit mean-reversion, a commonly observed pattern in real markets. This modification leads to new order book dynamics, which we explicitly study and analyze. Underlying our analysis is a mean-field assumption that views the order book through its average density. We show how price impact develops in this new model, providing a flexible family of solutions that can potentially be calibrated to real data. While no closed-form solution is provided, we complement our theoretical investigation with extensive numerical results, including a simulation scheme for the entire order book.","PeriodicalId":232544,"journal":{"name":"Market Microstructure and Liquidity","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Price Impact in a Latent Order Book\",\"authors\":\"Ismael Lemhadri\",\"doi\":\"10.1142/S2382626620500045\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The latent order book of [Donier et al., 2015, A fully consistent, minimal model for nonlinear market impact, Quantitative Finance 15(7), 1109–1121] is one of the most promising agent-based models for market impact. This work extends the minimal model by allowing agents to exhibit mean-reversion, a commonly observed pattern in real markets. This modification leads to new order book dynamics, which we explicitly study and analyze. Underlying our analysis is a mean-field assumption that views the order book through its average density. We show how price impact develops in this new model, providing a flexible family of solutions that can potentially be calibrated to real data. While no closed-form solution is provided, we complement our theoretical investigation with extensive numerical results, including a simulation scheme for the entire order book.\",\"PeriodicalId\":232544,\"journal\":{\"name\":\"Market Microstructure and Liquidity\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-02-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Market Microstructure and Liquidity\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S2382626620500045\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Market Microstructure and Liquidity","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S2382626620500045","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
摘要
[Donier et al., 2015, A fully consistent, minimum model for nonlinear market impact, Quantitative Finance 15(7), 1109-1121]的latent order book是最有前途的基于agent的市场影响模型之一。这项工作扩展了最小模型,允许代理人表现出均值回归,这是真实市场中常见的模式。这种修改导致了新订单的动态变化,我们对此进行了明确的研究和分析。我们分析的基础是一个平均场假设,它通过平均密度来看待订单簿。我们展示了价格影响在这个新模型中是如何发展的,提供了一系列灵活的解决方案,可以根据实际数据进行校准。虽然没有提供封闭形式的解决方案,但我们用广泛的数值结果补充了我们的理论研究,包括整个订单的模拟方案。
The latent order book of [Donier et al., 2015, A fully consistent, minimal model for nonlinear market impact, Quantitative Finance 15(7), 1109–1121] is one of the most promising agent-based models for market impact. This work extends the minimal model by allowing agents to exhibit mean-reversion, a commonly observed pattern in real markets. This modification leads to new order book dynamics, which we explicitly study and analyze. Underlying our analysis is a mean-field assumption that views the order book through its average density. We show how price impact develops in this new model, providing a flexible family of solutions that can potentially be calibrated to real data. While no closed-form solution is provided, we complement our theoretical investigation with extensive numerical results, including a simulation scheme for the entire order book.