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New Trading Practices and Short-run Market Efficiency

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  • Kenneth A. Froot
  • Andre F. Perold

Abstract

We document a large decrease in autocorrelation and increase in variance of recent short-run returns on several broad stock market indexes, over the 1983-89 period, 15-minute returns went from being highly positively serially correlated to practically uncorrelated. Over the past twenty years, daily and weekly autocorrelations have also fallen, we use transactions data to decompose short-run index autocorrelation into three components: bid-ask bounce, nontrading effects, and noncomtemporaneous cross-stock correlations in specialists' quotes. The first two factors do not explain the autocorrelation's decline. We argue that new trading practices have improved the processing of market-wide information, and that the recent decreases in autocorrelation and increases in volatility simply reflect these improvements.

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  • Kenneth A. Froot & Andre F. Perold, 1990. "New Trading Practices and Short-run Market Efficiency," NBER Working Papers 3498, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:3498
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    1. Scholes, Myron & Williams, Joseph, 1977. "Estimating betas from nonsynchronous data," Journal of Financial Economics, Elsevier, vol. 5(3), pages 309-327, December.
    2. Andrew W. Lo, A. Craig MacKinlay, 1988. "Stock Market Prices do not Follow Random Walks: Evidence from a Simple Specification Test," The Review of Financial Studies, Society for Financial Studies, vol. 1(1), pages 41-66.
    3. Cochrane, John H, 1988. "How Big Is the Random Walk in GNP?," Journal of Political Economy, University of Chicago Press, vol. 96(5), pages 893-920, October.
    4. Lo, Andrew W & MacKinlay, A Craig, 1990. "When Are Contrarian Profits Due to Stock Market Overreaction?," The Review of Financial Studies, Society for Financial Studies, vol. 3(2), pages 175-205.
    5. Harris, Lawrence E & Gurel, Eitan, 1986. "Price and Volume Effects Associated with Changes in the S&P 500 List: New Evidence for the Existence of Price Pressures," Journal of Finance, American Finance Association, vol. 41(4), pages 815-829, September.
    6. 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.
    7. Roll, Richard, 1984. "A Simple Implicit Measure of the Effective Bid-Ask Spread in an Efficient Market," Journal of Finance, American Finance Association, vol. 39(4), pages 1127-1139, September.
    8. A. Craig MacKinlay, Krishna Ramaswamy, 1988. "Index-Futures Arbitrage and the Behavior of Stock Index Futures Prices," The Review of Financial Studies, Society for Financial Studies, vol. 1(2), pages 137-158.
    9. Atchison, Michael D & Butler, Kirt C & Simonds, Richard R, 1987. "Nonsynchronous Security Trading and Market Index Autocorrelation," Journal of Finance, American Finance Association, vol. 42(1), pages 111-118, March.
    10. Harris, Lawrence, 1989. " S&P 500 Cash Stock Price Volatilities," Journal of Finance, American Finance Association, vol. 44(5), pages 1155-1175, December.
    11. Poterba, James M. & Summers, Lawrence H., 1988. "Mean reversion in stock prices : Evidence and Implications," Journal of Financial Economics, Elsevier, vol. 22(1), pages 27-59, October.
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    Cited by:

    1. Fernando F. Ferreira & A. Christian Silva & Ju-Yi Yen, 2019. "Detailed study of a moving average trading rule," Papers 1907.00212, arXiv.org.
    2. Kenneth A. Froot & Andre F. Perold & Jeremy C. Stein, 1992. "Shareholder Trading Practices And Corporate Investment Horizons," Journal of Applied Corporate Finance, Morgan Stanley, vol. 5(2), pages 42-58, June.
    3. Campbell, John Y & Kim, Sangjoon & Lettau, Martin, 1998. "Dispersion and Volatility in Stock Returns: An Empirical Investigation," CEPR Discussion Papers 1923, C.E.P.R. Discussion Papers.
    4. Zhang, Chuanhai & Ma, Huan & Liao, Xiaosai, 2023. "Futures trading activity and the jump risk of spot market: Evidence from the bitcoin market," Pacific-Basin Finance Journal, Elsevier, vol. 78(C).
    5. Qian Han & Jufang Liang, 2017. "Index Futures Trading Restrictions and Spot Market Quality: Evidence from the Recent Chinese Stock Market Crash," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 37(4), pages 411-428, April.
    6. Ms. Thornton Matheson, 2011. "Taxing Financial Transactions: Issues and Evidence," IMF Working Papers 2011/054, International Monetary Fund.
    7. John Y. Campbell & Martin Lettau & Burton Malkiel & Yexiao Xu, 2023. "Idiosyncratic Equity Risk Two Decades Later," Critical Finance Review, now publishers, vol. 12(1-4), pages 203-223, August.
    8. Pischke, Jorn-Steffen, 1995. "Individual Income, Incomplete Information, and Aggregate Consumption," Econometrica, Econometric Society, vol. 63(4), pages 805-840, July.
    9. Linda L. Tesar & Rene M. Stulz & Stephen Friedman & George N. Hatsopoulos, 1999. "The Role of Equity Markets in International Capital Flows," NBER Chapters, in: International Capital Flows, pages 235-306, National Bureau of Economic Research, Inc.
    10. Sias, Richard W. & Starks, Laura T., 1997. "Return autocorrelation and institutional investors," Journal of Financial Economics, Elsevier, vol. 46(1), pages 103-131, October.
    11. Sinha, Pankaj & Mathur, Kritika, 2015. "Impact of Commodities Transaction Tax on Indian Commodity Futures," MPRA Paper 63677, University Library of Munich, Germany.
    12. Hans R. Stoll & Robert E. Whaley, 1997. "Expiration†Day Effects of the All Ordinaries Share Price Index Futures: Empirical Evidence and Alternative Settlement Procedures," Australian Journal of Management, Australian School of Business, vol. 22(2), pages 139-174, December.
    13. Navaz Naghavi & Wee-Yeap Lau, 2014. "Exploring the nexus between financial openness and informational efficiency -- does the quality of institution matter?," Applied Economics, Taylor & Francis Journals, vol. 46(7), pages 674-685, March.
    14. Strobel, Marcus & Auer, Benjamin R., 2018. "Does the predictive power of variable moving average rules vanish over time and can we explain such tendencies?," International Review of Economics & Finance, Elsevier, vol. 53(C), pages 168-184.
    15. Zhang, Chuanhai & Chen, Haicui & Peng, Zhe, 2022. "Does Bitcoin futures trading reduce the normal and jump volatility in the spot market? Evidence from GARCH-jump models," Finance Research Letters, Elsevier, vol. 47(PB).
    16. Pascal Alphonse, 2007. "Mispricing Persistence and the Effectiveness of Arbitrage Trading," Multinational Finance Journal, Multinational Finance Journal, vol. 11(1-2), pages 123-156, March-Jun.
    17. Zhang, Chuanhai & Ma, Huan & Arkorful, Gideon Bruce & Peng, Zhe, 2023. "The impacts of futures trading on volatility and volatility asymmetry of Bitcoin returns," International Review of Financial Analysis, Elsevier, vol. 86(C).

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