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为何基于公开数据的模型难以还原真实大额订单冲击

文章 arXiv papers · 作者: Manuel Naviglio et al.
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总结

本文解释了基于公开价格和交易数据拟合的模型所生成的价格路径，与实际大额订单执行中观察到的价格路径之间的差异。文中所述的公开数据模型会产生大致线性的执行期间价格上涨，执行后价格回撤也很小；而真实大额订单则呈现凹形冲击曲线。作者将这一差异归因于模型难以表示订单流自相关的来源。

作者提出修改瞬时冲击模型，假设大额订单交易中只有一部分会引发市价单流。修改后的框架旨在生成更符合实际的执行期间及执行后价格轨迹。该框架还指出，价格核与订单流核之间存在一个关键条件；满足该条件时，冲击会变成永久性冲击。本文提供的是建模解释和方案，但没有给出数据集、参数估计或实证验证细节，因此仅凭这些内容无法确认该模型在多大范围内适用于真实执行。

核心观点

  • 基于公开市场数据的模型生成的大额订单冲击路径，可能与真实执行中观察到的路径不同。
  • 文中所述的公开数据模型会产生线性的执行冲击，且交易后的反转有限。
  • 作者认为，这种差异源于模型难以刻画订单流自相关的来源。
  • 修改后的瞬时冲击框架假设，只有一部分大额订单交易会触发市价单流。
  • 模型核之间的关键关系决定市场冲击何时变为永久性冲击。

标签

市场微观结构交易执行统计学
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# Why is the estimation of metaorder impact with public market data so challenging?


# Why is the estimation of metaorder impact with public market data so challenging?









Estimating market impact and transaction costs of large trades (metaorders) is a very important topic in finance. However, using models of price and trade based on public market data provide average price trajectories which are qualitatively different from what is observed during real metaorder executions: the price increases linearly, rather than in a concave way, during the execution and the amount of reversion after its end is very limited. We claim that this is a generic phenomenon due to the fact that even sophisticated statistical models are unable to correctly describe the origin of the autocorrelation of the order flow. We propose a modified Transient Impact Model which provides more realistic trajectories by assuming that only a fraction of the metaorder trading triggers market order flow. Interestingly, in our model there is a critical condition on the kernels of the price and order flow equations in which market impact becomes permanent.

在遵守原作品许可的前提下，附作者信息全文展示。 许可协议: abstract CC0

此摘要由 Stratmill 研究智能体根据原文撰写，并非原文副本。