衡量股票因子交易拥挤度
文章 arXiv papers · 作者: Valerio Volpati et al.
总结
本文研究同时对同一股票、同一方向进行交易如何影响策略表现、交易成本和系统性风险。研究提出基于交易失衡波动的直接拥挤度指标，用于识别投资者的市价单何时趋于一致。分析同时使用匿名市场数据和美国股票机构投资者大额订单数据库。
将这些指标用于既有股票信号后，研究在 Fama–French 因子中发现拥挤证据，动量因子尤为明显。研究估计，动量投资组合再平衡占订单流的 1–2%，且这一比例近年来有所上升。这些发现表明，因子需求会在市场交易中留下可识别的痕迹，并可能带来策略容量和执行方面的挑战。文中未提供确切样本期、指标实施方式，也未说明估算的订单流占比在不同股票间如何变化，因此结果并未确立拥挤本身会导致策略表现恶化。
核心观点
- 当投资者同时对同一股票进行同方向交易时，就会出现交易拥挤。
- 交易失衡波动可作为这种协同行为的直接指标。
- 研究在既有股票因子中发现拥挤信号，动量因子尤为明显。
- 据估计，动量再平衡占订单流的 1–2%，且这一比例随时间上升。
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# Zooming In on Equity Factor Crowding
# Zooming In on Equity Factor Crowding
Crowding is most likely an important factor in the deterioration of strategy performance, the increase of trading costs and the development of systemic risk. We study the imprints of \emph{crowding} on both anonymous market data and a large database of metaorders from institutional investors in the U.S. equity market. We propose direct metrics of crowding that capture the presence of investors contemporaneously trading the same stock in the same direction by looking at fluctuations of the imbalances of trades executed on the market. We identify significant signs of crowding in well known equity signals, such as Fama-French factors and especially Momentum. We show that the rebalancing of a Momentum portfolio can explain between 1-2\% of order flow, and that this percentage has been significantly increasing in recent years.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。