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Do price trajectory data increase the efficiency of market impact estimation?

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  • Fengpei Li
  • Vitalii Ihnatiuk
  • Ryan Kinnear
  • Anderson Schneider
  • Yuriy Nevmyvaka

Abstract

Market impact is an important problem faced by large institutional investor and active market participant. In this paper, we rigorously investigate whether price trajectory data from the metaorder increases the efficiency of estimation, from an asymptotic view of statistical estimation. We show that, for popular market impact models, estimation methods based on partial price trajectory data, especially those containing early trade prices, can outperform established estimation methods (e.g., VWAP-based) asymptotically. We discuss theoretical and empirical implications of such phenomenon, and how they could be readily incorporated into practice.

Suggested Citation

  • Fengpei Li & Vitalii Ihnatiuk & Ryan Kinnear & Anderson Schneider & Yuriy Nevmyvaka, 2022. "Do price trajectory data increase the efficiency of market impact estimation?," Papers 2205.13423, arXiv.org, revised Mar 2023.
    • Handle: RePEc:arx:papers:2205.13423
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    References listed on IDEAS

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