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Speed of convergence to market efficiency for NYSE-listed foreign stocks

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  • Visaltanachoti, Nuttawat
  • Yang, Ting

Abstract

This paper contributes to the cross-listing literature by documenting the speed of convergence to market efficiency for foreign stocks listed on the NYSE. We find that, on average, it takes 30-60Â minutes for a foreign stock to achieve market efficiency. For a comparable US stock, it takes only 10-15Â minutes. The significant difference between foreign and US stocks remains robust when the speed is measured by the number of transactions rather than in calendar time. After relevant firm characteristics are controlled for, the time that it takes for foreign stocks to reach efficiency is significantly negatively related to the quality of their home country institutions. We find that one possible channel through which institutions affect the speed is through their impact on information asymmetry.

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  • Visaltanachoti, Nuttawat & Yang, Ting, 2010. "Speed of convergence to market efficiency for NYSE-listed foreign stocks," Journal of Banking & Finance, Elsevier, vol. 34(3), pages 594-605, March.
  • Handle: RePEc:eee:jbfina:v:34:y:2010:i:3:p:594-605
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    3. Su, Yong-Chern & Huang, Han-Ching & Hsu, Ming-Wei, 2010. "Convergence to market efficiency of top gainers," Journal of Banking & Finance, Elsevier, vol. 34(9), pages 2230-2237, September.
    4. Juan Benjamín Duarte Duarte & Juan Manuel Mascare?nas Pérez-Iñigo, 2014. "Comprobación de la eficiencia débil en los principales mercados financieros latinoamericanos," Estudios Gerenciales, Universidad Icesi, November.
    5. Arjoon, Vaalmikki, 2016. "Microstructures, financial reforms and informational efficiency in an emerging market," Research in International Business and Finance, Elsevier, vol. 36(C), pages 112-126.
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    7. Chung, Dennis Y. & Hrazdil, Karel & Novak, Jiri & Suwanyangyuan, Nattavut, 2019. "Does the large amount of information in corporate disclosures hinder or enhance price discovery in the capital market?," Journal of Contemporary Accounting and Economics, Elsevier, vol. 15(1), pages 36-52.
    8. Chung, Dennis Y. & Hrazdil, Karel, 2010. "Liquidity and market efficiency: Analysis of NASDAQ firms," Global Finance Journal, Elsevier, vol. 21(3), pages 262-274.
    9. Reboredo, Juan C. & Rivera-Castro, Miguel A. & Miranda, José G.V. & García-Rubio, Raquel, 2013. "How fast do stock prices adjust to market efficiency? Evidence from a detrended fluctuation analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(7), pages 1631-1637.
    10. Yamamoto, Ryuichi, 2012. "Intraday technical analysis of individual stocks on the Tokyo Stock Exchange," Journal of Banking & Finance, Elsevier, vol. 36(11), pages 3033-3047.
    11. Parthajit Kayal & S. Maheswaran, 2018. "Speed of Price Adjustment towards Market Efficiency: Evidence from Emerging Countries," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 17(1_suppl), pages 112-135, April.
    12. Chung, Dennis Y. & Hrazdil, Karel & Trottier, Kim, 2015. "On the efficiency of intra-industry information transfers: The dilution of the overreaction anomaly," Journal of Banking & Finance, Elsevier, vol. 60(C), pages 153-167.
    13. Stübinger, Johannes & Walter, Dominik & Knoll, Julian, 2017. "Financial market predictions with Factorization Machines: Trading the opening hour based on overnight social media data," FAU Discussion Papers in Economics 19/2017, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    14. Juan Benjamín Duarte Duarte & Juan Manuel Mascareñas Pérez-Iñigo, 2014. "¿Han sido los mercados bursátiles eficientes informacionalmente?," Apuntes del Cenes, Universidad Pedagógica y Tecnológica de Colombia, June.
    15. Chung, Dennis Y. & Hrazdil, Karel, 2012. "Speed of convergence to market efficiency: The role of ECNs," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 702-720.
    16. Ting Zhang & George J. Jiang & Wei‐Xing Zhou, 2021. "Order imbalance and stock returns: New evidence from the Chinese stock market," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 61(2), pages 2809-2836, June.
    17. Tirapat, Sunti & Visaltanachoti, Nuttawat, 2013. "Opportunistic insider trading," Pacific-Basin Finance Journal, Elsevier, vol. 21(1), pages 1046-1061.
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    19. Noemi Nava & Tiziana Di Matteo & Tomaso Aste, 2015. "Time-dependent scaling patterns in high frequency financial data," Papers 1508.07428, arXiv.org, revised Dec 2015.

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