How smooth is price discovery? Evidence from cross-listed stock trading

Haiqiang Chen, Paul Moon Sub Choi, Yongmiao Hong

Research output: Contribution to journalArticlepeer-review

23 Scopus citations


The adjustment to parity can be nonlinear for a cross-listed pair: Convergence may be quicker when the price deviation is sufficiently profitable. We propose a threshold error correction model (ECM) to gauge the market-respective information shares of Canadian listings traded on the Toronto Stock Exchange (TSX) and the New York Stock Exchange (NYSE). Since dynamics may alternatively be gradual, we further generalize the threshold framework to a smooth transition ECM. The empirical implications are as follows: First, the TSX and the NYSE appear to have integrated over time. Second, parity-convergence accelerates upon discounts on the cross-listings on the NYSE. Third, we find a larger feedback from the NYSE if the price gap exceeds the threshold (required arbitrage return). Fourth, informed traders tend to cluster on the NYSE upon discounts on the cross-listings. Fifth, information share and threshold are affected by the relative degree of private information, market friction and liquidity measures, firm-level characteristics, and aggregate risks.

Original languageEnglish
Pages (from-to)668-699
Number of pages32
JournalJournal of International Money and Finance
Issue number1
StatePublished - 2013


  • Information share
  • Price discovery
  • Smooth transition error correction model
  • Threshold error correction model


Dive into the research topics of 'How smooth is price discovery? Evidence from cross-listed stock trading'. Together they form a unique fingerprint.

Cite this