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Reconcilable Differences: Momentum Trading by Institutions

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  • Richard W. Sias

Abstract

A growing literature evaluates the relation between lag returns and demand by institutional investors. Given that lag returns and institutional ownership are directly observable, it is surprising that previous tests yield dramatically different conclusions. This study examines differences across studies and finds that four factors account for these discrepancies: (1) value-weighting versus equal-weighting across stocks, (2) averaging versus aggregating over managers, (3) disagreement in the signs of measures of institutional demand, and (4) correlation between current capitalization and both lag returns and measures of institutional demand. Controlling for these factors, the results across different methods are remarkably uniform. Copyright 2007, The Eastern Finance Association.

Suggested Citation

  • Richard W. Sias, 2007. "Reconcilable Differences: Momentum Trading by Institutions," The Financial Review, Eastern Finance Association, vol. 42(1), pages 1-22, February.
  • Handle: RePEc:bla:finrev:v:42:y:2007:i:1:p:1-22
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    Citations

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    Cited by:

    1. Yao, Yi & Yang, Rong & Liu, Zhiyuan & Hasan, Iftekhar, 2013. "Government intervention and institutional trading strategy: Evidence from a transition country," Global Finance Journal, Elsevier, vol. 24(1), pages 44-68.
    2. Baltzer, Markus & Jank, Stephan & Smajlbegovic, Esad, 2014. "Who trades on momentum?," Discussion Papers 42/2014, Deutsche Bundesbank.
    3. Zeng, Yeqin, 2016. "Institutional investors: Arbitrageurs or rational trend chasers," International Review of Financial Analysis, Elsevier, vol. 45(C), pages 240-262.
    4. Alexander Franck & Andreas Walter & Johannes Witt, 2013. "Momentum strategies of German mutual funds," Financial Markets and Portfolio Management, Springer;Swiss Society for Financial Market Research, vol. 27(3), pages 307-332, September.
    5. Claudio Raddatz & Sergio Schmukler, 2013. "Deconstructing Herding: Evidence from Pension Fund Investment Behavior," Journal of Financial Services Research, Springer;Western Finance Association, vol. 43(1), pages 99-126, February.
    6. Choi, Nicole & Sias, Richard W., 2009. "Institutional industry herding," Journal of Financial Economics, Elsevier, vol. 94(3), pages 469-491, December.
    7. Dasgupta, Amil & Prat, Andrea, 2008. "Information aggregation in financial markets with career concerns," Journal of Economic Theory, Elsevier, vol. 143(1), pages 83-113, November.
    8. Jank, Stephan & Smajlbegovic, Esad, 2015. "Dissecting short-sale performance: Evidence from large position disclosures," CFR Working Papers 15-15, University of Cologne, Centre for Financial Research (CFR).
    9. Joseph Golec, 2007. "Are the Insider Trades of a Large Institutional Investor Informed?," The Financial Review, Eastern Finance Association, vol. 42(2), pages 161-190, May.
    10. Aboulamer, Anas & Kryzanowski, Lawrence, 2016. "Are idiosyncratic volatility and MAX priced in the Canadian market?," Journal of Empirical Finance, Elsevier, vol. 37(C), pages 20-36.
    11. Yin Hong, 2011. "Positive feedback trading, institutional investors and securities price fluctuation," China Finance Review International, Emerald Group Publishing, vol. 1(2), pages 120-132, January.

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