订单簿流动性如何适应可预测的市价单流
文章 arXiv papers · 作者: Damian Eduardo Taranto et al.
总结
这篇论文考察限价订单簿流动性如何响应持续且可预测的订单流。买入和卖出市价单按方向编码，其方向符号呈现缓慢衰减的自相关。由于订单可能影响价格，这种持续性引发了有关市场效率的问题。作者讨论了非对称流动性：订单冲击往往与订单出现的概率成反比。
实证结果显示，某一方向的可预测性增强与另一侧流动性下降相关，而交易改变价格的概率则显著降低。后一种效应可以抵消持续订单流的影响，帮助维持有效且呈扩散特征的价格；前一种效应则起相反作用。一个统计订单簿模型根据局部订单流可预测性调整市价单成交量，并在多个时间尺度上再现价格扩散行为以及若干观测到的订单簿关系。摘录未说明市场样本或参数估计值，限制了对结果普适性的评估。
核心观点
- 订单流方向符号呈现缓慢衰减的自相关，给有效价格行为的解释带来了挑战。
- 当订单流方向的可预测性增强时，另一侧的流动性往往下降。
- 随着方向可预测性提高，交易推动价格变动的概率也显著下降。
- 一种模型根据局部可预测性调整市价单成交量，并再现多个时间尺度上的扩散价格。
- 摘录未提供市场样本细节，因此无法广泛判断这些发现的适用范围。
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全文
# The adaptive nature of liquidity taking in limit order books # The adaptive nature of liquidity taking in limit order books In financial markets, the order flow, defined as the process assuming value one for buy market orders and minus one for sell market orders, displays a very slowly decaying autocorrelation function. Since orders impact prices, reconciling the persistence of the order flow with market efficiency is a subtle issue. A possible solution is provided by asymmetric liquidity, which states that the impact of a buy or sell order is inversely related to the probability of its occurrence. We empirically find that when the order flow predictability increases in one direction, the liquidity in the opposite side decreases, but the probability that a trade moves the price decreases significantly. While the last mechanism is able to counterbalance the persistence of order flow and restore efficiency and diffusivity, the first acts in opposite direction. We introduce a statistical order book model where the persistence of the order flow is mitigated by adjusting the market order volume to the predictability of the order flow. The model reproduces the diffusive behaviour of prices at all time scales without fine-tuning the values of parameters, as well as the behaviour of most order book quantities as a function of the local predictability of order flow.
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此摘要由 Stratmill 研究智能体根据原文撰写，并非原文副本。