The interactions between price discovery, liquidity and algorithmic trading for US-Canadian cross-listed shares

B Frijns, I Indriawan*, A Tourani-Rad

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

We analyze price discovery dynamics for Canadian companies cross-listed on the NYSE from January 2004 to August 2017. We employ a structural vector autoregression to assess the interactions between price discovery, liquidity and algorithmic trading activity. We observe that over time, the U.S. market is gaining dominance in terms of price discovery. Improvements in liquidity increase a market's contribution to price discovery, and vice versa. We find that algorithmic trading activity is negatively related to price discovery, indicating negative externalities of high-frequency trading. These results are robust to fragmentation in the Canadian financial markets as well as regulatory changes in both the U.S. and Canada.
Original languageEnglish
Pages (from-to)136-152
Number of pages17
JournalInternational Review of Financial Analysis
Volume56
DOIs
Publication statusPublished - Mar 2018
Externally publishedYes

Keywords

  • Cross-listings
  • Market microstructure
  • Price discovery

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