{"title":"Macroscopic Market Making Games","authors":"Ivan Guo, Shijia Jin, Kihun Nam","doi":"arxiv-2406.05662","DOIUrl":null,"url":null,"abstract":"In continuation of the macroscopic market making \\`a la Avellaneda-Stoikov as\na control problem, this paper explores its stochastic game. Concerning the\nprice competition, each agent is compared with the best quote from the others.\nWe start with the linear case. While constructing the solution directly, the\nordering property and the dimension reduction in the equilibrium are revealed.\nFor the non-linear case, extending the decoupling approach, we introduce a\nmultidimensional characteristic equation to study the well-posedness of\nforward-backward stochastic differential equations. Properties of coefficients\nin the characteristic equation are obtained via non-smooth analysis. In\naddition to novel well-posedness results, the linear price impact arises and\nthe impact function can be further decomposed into two parts in some examples.","PeriodicalId":501478,"journal":{"name":"arXiv - QuantFin - Trading and Market Microstructure","volume":"91 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-06-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - QuantFin - Trading and Market Microstructure","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2406.05662","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In continuation of the macroscopic market making \`a la Avellaneda-Stoikov as
a control problem, this paper explores its stochastic game. Concerning the
price competition, each agent is compared with the best quote from the others.
We start with the linear case. While constructing the solution directly, the
ordering property and the dimension reduction in the equilibrium are revealed.
For the non-linear case, extending the decoupling approach, we introduce a
multidimensional characteristic equation to study the well-posedness of
forward-backward stochastic differential equations. Properties of coefficients
in the characteristic equation are obtained via non-smooth analysis. In
addition to novel well-posedness results, the linear price impact arises and
the impact function can be further decomposed into two parts in some examples.