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Effects of limit order book information level on market stability metrics

机译:限价订单簿信息水平对市场稳定性指标的影响

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摘要

Using an agent-based model of the limit order book, we explore how the levels of information available to participants, exchanges, and regulators can be used to improve our understanding of the stability and resiliency of a market. Ultimately, we want to know if electronic market data contains previously undetected information that could allow us to better assess market stability. Using data produced in the controlled environment of an agent-based model's limit order book, we examine various resiliency indicators to determine their predictive capabilities. Most of the types of data created have traditionally been available either publicly or on a restricted basis to regulators and exchanges, but other types have never been collected. We confirmed our findings using actual order flow data with user identifications included from the CME (Chicago Mercantile Exchange) and New York Mercantile Exchange. Our findings strongly suggest that high-fidelity microstructure data in combination with price data can be used to define stability indicators capable of reliably signaling a high likelihood for an imminent flash crash event about one minute before it occurs.
机译:使用基于代理的限价订单模型,我们探索如何使用参与者,交易所和监管机构可用的信息水平来增进我们对市场稳定性和弹性的理解。最终,我们想知道电子​​市场数据是否包含以前未被发现的信息,从而可以使我们更好地评估市场稳定性。使用在基于代理的模型的限价单的受控环境中生成的数据,我们检查了各种弹性指标,以确定其预测能力。传统上,创建的大多数数据类型都可以公开获取,也可以在有限的基础上提供给监管机构和交易所,但从未收集过其他类型的数据。我们使用包含CME(芝加哥商品交易所)和纽约商品交易所的用户标识的实际订单流数据确认了我们的发现。我们的发现强烈表明,将高保真度的微观结构数据与价格数据相结合,可以用来定义稳定性指标,这些指标能够可靠地预示即将发生的Flash崩溃事件的可能性大约为一分钟。

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