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Recent trends in trading activity and market quality

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Author Info

  • Chordia, Tarun
  • Roll, Richard
  • Subrahmanyam, Avanidhar

Abstract

We explore the sharp uptrend in recent trading activity and accompanying changes in market efficiency. Higher turnover has been associated with more frequent smaller trades, which have progressively formed a larger fraction of trading volume over time. Evidence indicates that secular decreases in trading costs have influenced the turnover trend. Turnover has increased the most for stocks with the greatest level of institutional holdings, suggesting professional investing as a key contributor to the turnover trend. Variance ratio tests suggest that more institutional trading has increased information-based trading. Intraday volatility has decreased and prices conform more closely to random walk in recent years. The sensitivity of turnover to past returns has increased and cross-sectional predictability of returns has decreased significantly, revealing a more widespread use of quantitative trading strategies that allow for more efficient securities prices.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Financial Economics.

Volume (Year): 101 (2011)
Issue (Month): 2 (August)
Pages: 243-263

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Handle: RePEc:eee:jfinec:v:101:y:2011:i:2:p:243-263

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Web page: http://www.elsevier.com/locate/inca/505576

Related research

Keywords: Trading volume Market efficiency Volatility;

References

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Citations

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Cited by:
  1. Alsayed, Hamad & McGroarty, Frank, 2012. "Arbitrage and the Law of One Price in the market for American depository receipts," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(5), pages 1258-1276.
  2. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
  3. Dan Li & Geng Li, 2011. "Belief dispersion among household investors and stock trading volume," Finance and Economics Discussion Series 2011-39, Board of Governors of the Federal Reserve System (U.S.).
  4. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
  5. Chan, Yue-Cheong, 2014. "How does retail sentiment affect IPO returns? Evidence from the internet bubble period," International Review of Economics & Finance, Elsevier, vol. 29(C), pages 235-248.
  6. Anand, Amber & Irvine, Paul & Puckett, Andy & Venkataraman, Kumar, 2013. "Institutional trading and stock resiliency: Evidence from the 2007–2009 financial crisis," Journal of Financial Economics, Elsevier, vol. 108(3), pages 773-797.
  7. Diavatopoulos, Dean & Doran, James S. & Fodor, Andy & Peterson, David R., 2012. "The information content of implied skewness and kurtosis changes prior to earnings announcements for stock and option returns," Journal of Banking & Finance, Elsevier, vol. 36(3), pages 786-802.
  8. Manahov, Viktor & Hudson, Robert & Gebka, Bartosz, 2014. "Does high frequency trading affect technical analysis and market efficiency? And if so, how?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 28(C), pages 131-157.

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