价格感知自动做市商:超越布朗价格和静态流动性的模型

Philippe Bergault, Louis Bertucci, David Bouba, Olivier Guéant, Julien Guilbert
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引用次数: 0

摘要

在本文中,我们为愿意优化报价的价格感知自动做市平台介绍了一套模型。这些模型包含先进的价格动态,包括随机波动、跳跃和基于霍克斯过程的微观结构价格模型。此外,我们还通过采用霍克斯过程或马尔可夫调制泊松过程的模型来处理流动性接受者需求的变化。我们对每个模型都进行了分析,并特别强调了计算最优报价所需的数值方法的复杂性。
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Price-Aware Automated Market Makers: Models Beyond Brownian Prices and Static Liquidity
In this paper, we introduce a suite of models for price-aware automated market making platforms willing to optimize their quotes. These models incorporate advanced price dynamics, including stochastic volatility, jumps, and microstructural price models based on Hawkes processes. Additionally, we address the variability in demand from liquidity takers through models that employ either Hawkes or Markov-modulated Poisson processes. Each model is analyzed with particular emphasis placed on the complexity of the numerical methods required to compute optimal quotes.
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