高频定量金融策略的多物种捕食-猎物生态系统HFTE模型

Babak Mahdavi-Damghani
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引用次数: 0

摘要

本文通过引入高频交易模型,为研究电子交易与系统风险提供了一种新的方法。我们指定了一种方法,其中智能体通过拓扑结构进行交互,该拓扑结构旨在解决大多数常见高频策略的复杂性需求,但在开始时是随机设计的。然后通过简化的遗传算法研究原始策略生态系统。在数学生物学和博弈论的帮助下,这些结果揭示了有趣的社会和监管意义,为了说明这些令人困惑的发现,我们总结了具体的镜像点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Introducing the HFTE Model: A Multi-Species Predator Prey Ecosystem for High Frequency Quantitative Financial Strategies
In this paper we take a new approach to studying electronic trading & systemic risk by introducing the HFTE model. We specify an approach in which agents interact through a topological structure designed to address the complexity demands of most common high frequency strategies but designed randomly at inception. The primitive strategy ecosystem is then studied through a simplified genetic algorithm. The results open up intriguing social and regulatory implications with the helping doors of Mathematical Biology & Game Theory which specific mirror points have been summarized for the sake of illustrating the puzzling findings.
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