The price impact of trade-size clustering: Evidence from an intraday analysis

Research output: Journal PublicationsJournal Article (refereed)peer-review

9 Citations (Scopus)

Abstract

Motivated by the prevalence of trade-size clustering in financial markets, this study examines whether this trading irregularity affects intraday price dynamics. Based on a global sample, we document that stronger trade-size clustering is associated with lower temporary price impact, consistent with the stealth trading hypothesis. Meanwhile, a positive interaction between clustering and permanent price changes further confirms that clustering trades convey information, suggesting that they originate from informed investors. After partitioning sizes into top, round, and non-round groups, we find that all are informative, despite the finding that top and round (non-round) sizes have more (less) clustering.

Original languageEnglish
Pages (from-to)300-314
Number of pages15
JournalJournal of Business Research
Volume101
Early online date27 Dec 2018
DOIs
Publication statusPublished - Aug 2019
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2019 Elsevier Inc.

Funding

I acknowledge the Start-up Research Grant (SRG2018-00115-FBA) support from University of Macau, Macau. All errors remain my own responsibility. I acknowledge the Start-up Research Grant ( SRG2018-00115-FBA) support from University of Macau, Macau. All errors remain my own responsibility.

Keywords

  • Clustering
  • Non-round size
  • Price impact
  • Trade size

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