日内不同尺度下的非线性价格冲击与订单流平衡
文章 arXiv papers · 作者: Felix Patzelt et al.
总结
本研究考察聚合交易流与日内不同时间尺度价格变化之间的关系。研究报告称，价格冲击呈现非线性模式，在不同金融工具之间大体相似，但交易量冲击曲线和交易方向冲击曲线有所不同。冲击的尺度变化主要与相关赫斯特指数有关。
报告的分析还发现，极端的订单方向失衡并不对应较大收益。相反，订单流严重偏向一侧时，中间价更可能维持不变；随着方向偏差增大，交易推动中间价变动的概率会下降。作者认为，价格变动需要局部订单流达到足够的平衡。这些发现对聚合冲击呈线性的假设提出质疑，并指出相关的流动性获取和提供行为具有重要作用。摘要未给出样本细节、估计程序或稳健性检验，因此无法评估这些结果是否适用于所报告市场和尺度以外的情形。
核心观点
- 在所考察的日内时间尺度上，聚合价格冲击呈非线性。
- 交易量和订单方向对应的冲击曲线有所不同，但不同金融工具之间差异不大。
- 冲击的尺度变化主要与相关赫斯特指数有关。
- 订单方向严重失衡时，中间价更可能维持不变，而非出现大幅收益。
- 随着订单方向偏差增大，交易推动中间价变动的概率会下降。
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全文
# Universal scaling and nonlinearity of aggregate price impact in financial markets # Universal scaling and nonlinearity of aggregate price impact in financial markets How and why stock prices move is a centuries-old question still not answered conclusively. More recently, attention shifted to higher frequencies, where trades are processed piecewise across different timescales. Here we reveal that price impact has a universal non-linear shape for trades aggregated on any intra-day scale. Its shape varies little across instruments, but drastically different master curves are obtained for order-volume and -sign impact. The scaling is largely determined by the relevant Hurst exponents. We further show that extreme order flow imbalance is not associated with large returns. To the contrary, it is observed when the price is "pinned" to a particular level. Prices move only when there is sufficient balance in the local order flow. In fact, the probability that a trade changes the mid-price falls to zero with increasing (absolute) order-sign bias along an arc-shaped curve for all intra-day scales. Our findings challenge the widespread assumption of linear aggregate impact. They imply that market dynamics on all intra-day timescales are shaped by correlations and bilateral adaptation in the flows of liquidity provision and taking.
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。