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Momentum and Contrarian Stock-Market Indices

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Author Info

  • Jon Eggins

    ()
    (Russell Investment Group)

  • Robert J. Hill

    ()
    (School of Economics, University of New South Wales)

Abstract

We propose a new class of investable momentum and contrarian stock-market indices that partition a benchmark index, such as the Russell 1000. Our momentum indices overweight stocks that have recently outperformed, while our contrarian indices underweight these same stocks. Our index construction methodology is extremely flexible, and allows the index provider to trade-off the distinctiveness of the momentum/contrarian strategies with portfolio turnover. Momentum investment styles in particular typically entail a high level of turnover, and hence high associated transaction costs. The creation of momentum and contrarian indices and exchange traded funds (ETFs) based on our methodology would allow investors to access these styles at lower cost than is currently possible. Our indices also provide performance benchmarks for momentum/contrarian investment managers, and good proxies for a momentum factor. Over the period 1995- 2007 we find that short term momentum and long term contrarian indices outperform the reference Russell 1000 index. We also document the changing interaction between the momentum/contrarian and value/growth styles.

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Bibliographic Info

Paper provided by School of Economics, The University of New South Wales in its series Discussion Papers with number 2008-07.

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Length: 32 pages
Date of creation: May 2008
Date of revision:
Handle: RePEc:swe:wpaper:2008-07

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Related research

Keywords: Momentum index; Contrarian index; Performance measurement; Turnover; Momentum factor; Behavioral finance;

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  1. Carhart, Mark M, 1997. " On Persistence in Mutual Fund Performance," Journal of Finance, American Finance Association, vol. 52(1), pages 57-82, March.
  2. William N. Goetzmann & Massimo Massa, 1999. "Daily Momentum And Contrarian Behavior Of Index Fund Investors," Yale School of Management Working Papers ysm13, Yale School of Management.
  3. 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.
  4. Grinblatt, Mark & Titman, Sheridan & Wermers, Russ, 1995. "Momentum Investment Strategies, Portfolio Performance, and Herding: A Study of Mutual Fund Behavior," American Economic Review, American Economic Association, vol. 85(5), pages 1088-1105, December.
  5. Robert W. Faff, 2003. "Creating Fama and French Factors with Style," The Financial Review, Eastern Finance Association, vol. 38(2), pages 311-322, 05.
  6. 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.
  7. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
  8. De Bondt, Werner F M & Thaler, Richard, 1985. " Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
  9. 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.
  10. 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.
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