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The Index Tracking Strategies of Passive and Enhanced Index Equity Funds

Author

Listed:
  • Alex Frino

    (Finance Discipline, School of Business, The University of Sydney, NSW 2006.)

  • David R. Gallagher

    (School of Banking and Finance, The University of New South Wales, Sydney, NSW 2052.)

  • Teddy N. Oetomo

    (Finance Discipline, School of Business, The University of Sydney, NSW 2006.)

Abstract

This study represents the first empirical examination of the daily trading and portfolio configuration strategies of index and enhanced index equity funds. We document that passive funds benefit from employing less rigid rebalancing and investment strategies. During index revision periods, enhanced index funds commence portfolio rebalancing earlier than index funds, and employ more patient trading strategies. This activity translates into higher returns and lower trading costs for enhanced index funds. In cases where passive funds do not perfectly mimic the benchmark, passive funds exhibit a greater propensity to overweight stocks with higher liquidity, larger market capitalization and higher past performance. For non-index portfolio holdings, enhanced funds exhibit a higher propensity to hold ‘winners’ and sell ‘losers’.

Suggested Citation

  • Alex Frino & David R. Gallagher & Teddy N. Oetomo, 2005. "The Index Tracking Strategies of Passive and Enhanced Index Equity Funds," Australian Journal of Management, Australian School of Business, vol. 30(1), pages 23-55, June.
    • Handle: RePEc:sae:ausman:v:30:y:2005:i:1:p:23-55
    DOI: 10.1177/031289620503000103
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    References listed on IDEAS

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    Cited by:

    1. Ruoyun (Lucy) Zhao & C Schmidt & C Terry, 2016. "Index effects: Evidence from Australia," Published Paper Series 2016-2, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
    2. Frino, Alex & Gallagher, David R. & Oetomo, Teddy N., 2006. "Further analysis of the liquidity and information components of institutional orders: Active versus passive funds," Pacific-Basin Finance Journal, Elsevier, vol. 14(5), pages 439-452, November.
    3. Michael C. Nwogugu, 2020. "Decision-Making, Sub-Additive Recursive "Matching" Noise And Biases In Risk-Weighted Stock/Bond Index Calculation Methods In Incomplete Markets With Partially Observable Multi-Attribute Pref," Papers 2005.01708, arXiv.org.
    4. Guastaroba, G. & Mansini, R. & Ogryczak, W. & Speranza, M.G., 2016. "Linear programming models based on Omega ratio for the Enhanced Index Tracking Problem," European Journal of Operational Research, Elsevier, vol. 251(3), pages 938-956.
    5. Filippi, C. & Guastaroba, G. & Speranza, M.G., 2016. "A heuristic framework for the bi-objective enhanced index tracking problem," Omega, Elsevier, vol. 65(C), pages 122-137.
    6. Li, Qian & Bao, Liang, 2014. "Enhanced index tracking with multiple time-scale analysis," Economic Modelling, Elsevier, vol. 39(C), pages 282-292.

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