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Exploring new frontiers in indexing strategies: an optimization-based risk-efficient solution

Author

Listed:
  • Reema Monga

    (Delhi Technological University)

  • Deepti Aggrawal

    (Delhi Technological University)

  • Jagvinder Singh

    (Delhi Technological University)

Abstract

This paper examines various risk-efficient solutions that enable investors to optimize their risk-return profile in comparison to the traditional market-capitalization index. Investment practitioners and other equity analysts considered cap-weighted market indices as neither efficient nor diversified; due to some notable drawbacks such as overconcentration of large-cap, price noise, massive drawdown, absence of an auto-corrective mechanism of mean reversion; and others. Therefore, the purpose of the study is to explore the diverse range of risk-efficient strategies that improve the quality of the index constitution. Using the extensive sample of the S&P BSE 500 index, the study examines the performance, consistency, and robustness of optimization-based risk-efficient solutions, including; Efficient minimum variance, Diversified risk-weighted, Maximum decorrelation, Maximum deconcentration, Efficient maximum Sharpe ratio, and Diversified Multi-Strategy for the period April 1, 2004, to March 31, 2020. The result of the study presents evidence of diversification enhancement and extensive outperformance for these risk-efficient solutions.

Suggested Citation

  • Reema Monga & Deepti Aggrawal & Jagvinder Singh, 2022. "Exploring new frontiers in indexing strategies: an optimization-based risk-efficient solution," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 853-865, June.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:2:d:10.1007_s13198-021-01138-3
    DOI: 10.1007/s13198-021-01138-3
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    References listed on IDEAS

    as
    1. Fama, Eugene F & French, Kenneth R, 1992. "The Cross-Section of Expected Stock Returns," Journal of Finance, American Finance Association, vol. 47(2), pages 427-465, June.
    2. Peter Christoffersen & Vihang Errunza & Kris Jacobs & Hugues Langlois, 2012. "Is the Potential for International Diversification Disappearing? A Dynamic Copula Approach," Review of Financial Studies, Society for Financial Studies, vol. 25(12), pages 3711-3751.
    3. repec:dau:papers:123456789/4688 is not listed on IDEAS
    4. Fama, Eugene F. & French, Kenneth R., 2015. "A five-factor asset pricing model," Journal of Financial Economics, Elsevier, vol. 116(1), pages 1-22.
    5. Kamil Nowak, 2016. "Implementation Of Alternative Index Weighting To Warsaw Stock Exchange," Copernican Journal of Finance & Accounting, Uniwersytet Mikolaja Kopernika, vol. 5(2), pages 163-179.
    6. Raza, Muhammad Wajid & Ashraf, Dawood, 2019. "Does the application of smart beta strategies enhance portfolio performance? The case of Islamic equity investments," International Review of Economics & Finance, Elsevier, vol. 60(C), pages 46-61.
    7. Lixin Cai & Yong Jin & Qiulin Qi & Xin Xu, 2018. "A comprehensive study on smart beta strategies in the A-share market," Applied Economics, Taylor & Francis Journals, vol. 50(55), pages 6024-6033, November.
    8. 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.
    9. Isaac T. Tabner, 2009. "Benchmark Concentration: Capitalization Weights Versus Equal Weights in the FTSE 100 Index," Multinational Finance Journal, Multinational Finance Journal, vol. 13(3-4), pages 209-228, September.
    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.
    Full references (including those not matched with items on IDEAS)

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