How smooth is price discovery? Evidence from cross-listed stock trading
Abstract
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.Download Info
If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Bibliographic Info
Article provided by Elsevier in its journal Journal of International Money and Finance.
Volume (Year): 32 (2013)
Issue (Month): C ()
Pages: 668-699
Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/30443
Related research
Keywords: Price discovery; Information share; Threshold error correction model; Smooth transition error correction model;Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models
- G15 - Financial Economics - - General Financial Markets - - - International Financial Markets
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
References
No references listed on IDEASYou can help add them by filling out this form.
Citations
Lists
This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.Statistics
Access and download statisticsCorrections
When requesting a correction, please mention this item's handle: RePEc:eee:jimfin:v:32:y:2013:i:c:p:668-699For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Wendy Shamier).
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If references are entirely missing, you can add them using this form.
If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.

