Macroscopic Market Making Games

Ivan Guo, Shijia Jin, Kihun Nam
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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.
宏观造市游戏
本文继续将宏观做市作为一个控制问题,探讨其随机博弈。关于价格竞争,每个代理都要与其他代理的最佳报价进行比较。对于非线性情况,我们扩展了解耦方法,引入了多维特征方程来研究前向-后向随机微分方程的好求性。通过非平滑分析,我们得到了特征方程中系数的性质。除了新颖的问题解决结果之外,在一些例子中还出现了线性价格影响,并且影响函数可以进一步分解为两部分。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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