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Recent trends in trading activity and market quality

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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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
Contact details of provider: Web page: http://www.elsevier.com/locate/inca/505576

Keywords: Trading volume Market efficiency Volatility;

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  1. Scharfstein, David. & Stein, Jeremy C., 1988. "Herd behavior and investment," Working papers WP 2062-88., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  2. Guillermo Llorente & Roni Michaely & Gideon Saar & Jiang Wang, 2001. "Dynamic Volume-Return Relation of Individual Stocks," NBER Working Papers 8312, National Bureau of Economic Research, Inc.
  3. Markus K. Brunnermeier & Stefan Nagel, 2006. "Do Wealth Fluctuations Generate Time-varying Risk Aversion? Micro-Evidence on Individuals' Asset Allocation," NBER Working Papers 12809, National Bureau of Economic Research, Inc.
  4. Newey, Whitney & West, Kenneth, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 33(1), pages 125-132.
  5. Grossman, Sanford J & Miller, Merton H, 1988. " Liquidity and Market Structure," Journal of Finance, American Finance Association, vol. 43(3), pages 617-37, July.
  6. Brad M. Barber & Terrance Odean, 2002. "Online Investors: Do the Slow Die First?," Review of Financial Studies, Society for Financial Studies, vol. 15(2), pages 455-488, March.
  7. Foster, F Douglas & Viswanathan, S, 1990. "A Theory of the Interday Variations in Volume, Variance, and Trading Costs in Securities Markets," Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 593-624.
  8. Tarun Chordia, 2001. "Market Liquidity and Trading Activity," Journal of Finance, American Finance Association, vol. 56(2), pages 501-530, 04.
  9. Lee, Yi-Tsung & Liu, Yu-Jane & Roll, Richard & Subrahmanyam, Avanidhar, 2004. "Order Imbalances and Market Efficiency: Evidence from the Taiwan Stock Exchange," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 39(02), pages 327-341, June.
  10. Lee, Charles M. C., 1992. "Earnings news and small traders : An intraday analysis," Journal of Accounting and Economics, Elsevier, vol. 15(2-3), pages 265-302, August.
  11. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2000. "Order Imbalance, Liquidity, and Market Returns," University of California at Los Angeles, Anderson Graduate School of Management qt7gh9t9w3, Anderson Graduate School of Management, UCLA.
  12. Michael J. Barclay & Terrence Hendershott, 2004. "Liquidity Externalities and Adverse Selection: Evidence from Trading after Hours," Journal of Finance, American Finance Association, vol. 59(2), pages 681-710, 04.
  13. Conrad, Jennifer & Kaul, Gautam, 1998. "An Anatomy of Trading Strategies," Review of Financial Studies, Society for Financial Studies, vol. 11(3), pages 489-519.
  14. Black, Fischer, 1986. " Noise," Journal of Finance, American Finance Association, vol. 41(3), pages 529-43, July.
  15. Chordia, Tarun & Subrahmanyam, Avanidhar & Anshuman, V. Ravi, 2001. "Trading activity and expected stock returns," Journal of Financial Economics, Elsevier, vol. 59(1), pages 3-32, January.
  16. Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
  17. Jegadeesh, Narasimhan & Titman, Sheridan, 1993. " Returns to Buying Winners and Selling Losers: Implications for Stock Market Efficiency," Journal of Finance, American Finance Association, vol. 48(1), pages 65-91, March.
  18. Karpoff, Jonathan M., 1987. "The Relation between Price Changes and Trading Volume: A Survey," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 22(01), pages 109-126, March.
  19. Chakravarty, Sugato & Panchapagesan, Venkatesh & Wood, Robert A., 2005. "Did decimalization hurt institutional investors?," Journal of Financial Markets, Elsevier, vol. 8(4), pages 400-420, November.
  20. James M. Poterba & Steven F. Venti & David A. Wise, 2001. "The Transition to Personal Accounts and Increasing Retirement Wealth: Macro and Micro Evidence," NBER Working Papers 8610, National Bureau of Economic Research, Inc.
  21. Amihud, Yakov & Mendelson, Haim, 1987. " Trading Mechanisms and Stock Returns: An Empirical Investigation," Journal of Finance, American Finance Association, vol. 42(3), pages 533-53, July.
  22. Roger D. Huang, 2002. "The Quality of ECN and Nasdaq Market Maker Quotes," Journal of Finance, American Finance Association, vol. 57(3), pages 1285-1319, 06.
  23. Jones, Charles M. & Lipson, Marc L., 2001. "Sixteenths: direct evidence on institutional execution costs," Journal of Financial Economics, Elsevier, vol. 59(2), pages 253-278, February.
  24. John Y. Campbell & Sanford J. Grossman & Jiang Wang, 1992. "Trading Volume and Serial Correlation in Stock Returns," NBER Working Papers 4193, National Bureau of Economic Research, Inc.
  25. Newey, Whitney K & West, Kenneth D, 1994. "Automatic Lag Selection in Covariance Matrix Estimation," Review of Economic Studies, Wiley Blackwell, vol. 61(4), pages 631-53, October.
  26. Lakonishok, Josef & Maberly, Edwin, 1990. " The Weekend Effect: Trading Patterns of Individual and Institutional Investors," Journal of Finance, American Finance Association, vol. 45(1), pages 231-43, March.
  27. Schwert, G William, 1989. " Why Does Stock Market Volatility Change over Time?," Journal of Finance, American Finance Association, vol. 44(5), pages 1115-53, December.
  28. Nagel, Stefan, 2005. "Short sales, institutional investors and the cross-section of stock returns," Journal of Financial Economics, Elsevier, vol. 78(2), pages 277-309, November.
  29. Malcolm Baker & Jeremy C. Stein, 2002. "Market Liquidity as a Sentiment Indicator," NBER Working Papers 8816, National Bureau of Economic Research, Inc.
  30. Fama, Eugene F & French, Kenneth R, 1996. " Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
  31. Narasimhan Jegadeesh, 2002. "Cross-Sectional and Time-Series Determinants of Momentum Returns," Review of Financial Studies, Society for Financial Studies, vol. 15(1), pages 143-157, March.
  32. Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
  33. Knewtson, Heather S. & Sias, Richard W., 2010. "Why Susie owns Starbucks: The name letter effect in security selection," Journal of Business Research, Elsevier, vol. 63(12), pages 1324-1327, December.
  34. French, Kenneth R. & Roll, Richard, 1986. "Stock return variances : The arrival of information and the reaction of traders," Journal of Financial Economics, Elsevier, vol. 17(1), pages 5-26, September.
  35. Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
  36. Falkenstein, Eric G, 1996. " Preferences for Stock Characteristics as Revealed by Mutual Fund Portfolio Holdings," Journal of Finance, American Finance Association, vol. 51(1), pages 111-35, March.
  37. Fuller, Wayne A. & Battese, George E., 1974. "Estimation of linear models with crossed-error structure," Journal of Econometrics, Elsevier, vol. 2(1), pages 67-78, May.
  38. Amihud, Yakov & Mendelson, Haim, 1991. " Volatility, Efficiency, and Trading: Evidence from the Japanese Stock Market," Journal of Finance, American Finance Association, vol. 46(5), pages 1765-89, December.
  39. Harris, Milton & Raviv, Artur, 1993. "Differences of Opinion Make a Horse Race," Review of Financial Studies, Society for Financial Studies, vol. 6(3), pages 473-506.
  40. Fama, Eugene F & French, Kenneth R, 1992. " The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-65, June.
  41. Terrence Hendershott & Charles M. Jones & Albert J. Menkveld, 2011. "Does Algorithmic Trading Improve Liquidity?," Journal of Finance, American Finance Association, vol. 66(1), pages 1-33, 02.
  42. Ron Kaniel & Gideon Saar & Sheridan Titman, 2008. "Individual Investor Trading and Stock Returns," Journal of Finance, American Finance Association, vol. 63(1), pages 273-310, 02.
  43. Chordia, Tarun & Roll, Richard & Subrahmanyam, Avanidhar, 2008. "Liquidity and market efficiency," Journal of Financial Economics, Elsevier, vol. 87(2), pages 249-268, February.
  44. Fama, Eugene F & MacBeth, James D, 1973. "Risk, Return, and Equilibrium: Empirical Tests," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 607-36, May-June.
  45. Schultz, Paul, 2000. "Regulatory and Legal Pressures and the Costs of Nasdaq Trading," Review of Financial Studies, Society for Financial Studies, vol. 13(4), pages 917-57.
  46. Allen B. Atkins & Edward A. Dyl, 1997. "Market Structure And Reported Trading Volume: Nasdaq Versus The Nyse," Journal of Financial Research, Southern Finance Association;Southwestern Finance Association, vol. 20(3), pages 291-304, 09.
  47. Bessembinder, Hendrik, 2003. "Trade Execution Costs and Market Quality after Decimalization," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(04), pages 747-777, December.
  48. Asquith, Paul & Pathak, Parag A. & Ritter, Jay R., 2005. "Short interest, institutional ownership, and stock returns," Journal of Financial Economics, Elsevier, vol. 78(2), pages 243-276, November.
  49. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 3-40.
  50. Terrance Odean, 1998. "Are Investors Reluctant to Realize Their Losses?," Journal of Finance, American Finance Association, vol. 53(5), pages 1775-1798, October.
  51. Brennan, Michael J. & Chordia, Tarun & Subrahmanyam, Avanidhar, 1998. "Alternative factor specifications, security characteristics, and the cross-section of expected stock returns," Journal of Financial Economics, Elsevier, vol. 49(3), pages 345-373, September.
  52. Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June.
  53. Summers, L.H. & Summers, V.P., 1989. "When Financial Markets Work Too Well : A Cautious Case For A Securities Transactions Tax," Papers t12, Columbia - Center for Futures Markets.
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Cited by:

  1. Robert F. Stambaugh, 2014. "Investment Noise and Trends," NBER Working Papers 20072, National Bureau of Economic Research, Inc.
  2. 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.).
  3. 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.
  4. Li, Dan & Li, Geng, 2014. "Are Household Investors Noise Traders: Evidence from Belief Dispersion and Stock Trading Volume," Finance and Economics Discussion Series 2014-35, Board of Governors of the Federal Reserve System (U.S.).
  5. Chordia, Tarun & Subrahmanyam, Avanidhar & Tong, Qing, 2014. "Have capital market anomalies attenuated in the recent era of high liquidity and trading activity?," Journal of Accounting and Economics, Elsevier, vol. 58(1), pages 41-58.
  6. Roll, Richard & Schwartz, Eduardo & Subrahmanyam, Avanidhar, 2014. "Trading activity in the equity market and its contingent claims: An empirical investigation," Journal of Empirical Finance, Elsevier, vol. 28(C), pages 13-35.
  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. Lubos Pastor & Robert F. Stambaugh & Lucian A. Taylor, 2014. "Do Funds Make More When They Trade More?," NBER Working Papers 20700, National Bureau of Economic Research, Inc.
  9. Carrion, Allen, 2013. "Very fast money: High-frequency trading on the NASDAQ," Journal of Financial Markets, Elsevier, vol. 16(4), pages 680-711.
  10. 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.
  11. Marcin Kacperczyk & Jaromir B. Nosal & Luminita Stevens, 2014. "Investor Sophistication and Capital Income Inequality," NBER Working Papers 20246, National Bureau of Economic Research, Inc.
  12. 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.
  13. 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.
  14. Duong, Huu Nhan & Kalev, Petko S., 2014. "Anonymity and the Information Content of the Limit Order Book," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 30(C), pages 205-219.
  15. Denitsa Stefanova & Arjen Siegmann, 2014. "The Evolving Beta-Liquidity Relationship of Hedge Funds," LSF Research Working Paper Series 14-12, Luxembourg School of Finance, University of Luxembourg.
  16. Hoffmann, Peter, 2014. "A dynamic limit order market with fast and slow traders," Journal of Financial Economics, Elsevier, vol. 113(1), pages 156-169.
  17. Alasdair Brown & Fuyu Yang, 2014. "The Role of Speculative Trade in Market Efficiency: Evidence from a Betting Exchange," University of East Anglia Applied and Financial Economics Working Paper Series 068, School of Economics, University of East Anglia, Norwich, UK..
  18. Hasbrouck, Joel & Saar, Gideon, 2013. "Low-latency trading," Journal of Financial Markets, Elsevier, vol. 16(4), pages 646-679.
  19. Boons, M.F., 2014. "Sorting out commodity and macroeconomic risk in expected stock returns," Other publications TiSEM 1ebdac58-bf37-499d-8835-1, School of Economics and Management.

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