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

Reema Monga (), Deepti Aggrawal () and Jagvinder Singh ()
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Reema Monga: Delhi Technological University
Deepti Aggrawal: Delhi Technological University
Jagvinder Singh: Delhi Technological University

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 2, No 8, 853-865

Abstract: 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.

Keywords: Risk-efficient solutions; Smart beta; Indexing strategies; Diversified multi-strategy; Portfolio optimization; Emerging indian equity market (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01138-3

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