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Information, Trading Volume, and International Stock Return Comovements: Evidence from Cross-Listed Stocks

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  • Gagnon, Louis

    (Queen's U)

  • Karolyi, G. Andrew

    (Ohio State U)

Abstract

This paper investigates the dynamic relation between returns and trading volume in international stock markets. We test the heterogeneous-agent, rational expectations model of Llorente, Michaely, Saar, and Wang (2002) for a comprehensive sample of 556 foreign stocks cross-listed on U.S. markets from 36 different markets. Their model argues that investors trade to speculate on their private information or to rebalance their portfolios and predicts that returns associated with portfolio rebalancing tend to reverse themselves while returns generated by speculative trades tend to continue themselves. We test this prediction by analyzing the relationship between trading volume and return comovements between the home and U.S. markets for the cross-listed shares. We hypothesize that returns in the home (U.S.) market on high-volume days are more likely to continue to spill over into the U.S. (home) market for those stocks subject to the risk of greater informed trading. Our empirical evidence provides support for this hypothesis, which highlights the link between information, trading volume and international stock return comovements that has eluded previous empirical investigations.

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Paper provided by Ohio State University, Charles A. Dice Center for Research in Financial Economics in its series Working Paper Series with number 2006-11.

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Date of creation: Jan 2007
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Handle: RePEc:ecl:ohidic:2006-11

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Cited by:
  1. Gu, Lulu & Reed, W. Robert, 2013. "Information asymmetry, market segmentation, and cross-listing: Implications for event study methodology," Journal of Asian Economics, Elsevier, vol. 28(C), pages 28-40.
  2. Chen, Haiqiang & Choi, Paul Moon Sub, 2012. "Does information vault Niagara Falls? Cross-listed trading in New York and Toronto," Journal of Empirical Finance, Elsevier, vol. 19(2), pages 175-199.
  3. repec:wyi:journl:002166 is not listed on IDEAS
  4. Strohsal, Till & Weber, Enzo, 2013. "Identifying Volatility Signals from Time-Varying Simultaneous Stock Market Interaction," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79903, Verein für Socialpolitik / German Economic Association.
  5. He, Hui & Yang, Jiawen, 2012. "Day and night returns of Chinese ADRs," Journal of Banking & Finance, Elsevier, vol. 36(10), pages 2795-2803.

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